Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis
Open accessAbstract
Wearable sensor technologies are essential to the realization of personalized medicine through continuously monitoring an individual's state of health. Sampling human sweat, which is rich in physiological information, could enable non-invasive monitoring. Previously reported sweat-based and other non-invasive biosensors either can only monitor a single analyte at a time or lack on-site signal processing circuitry and sensor calibration mechanisms for accurate analysis of the physiological state. Given the complexity of sweat secretion, simultaneous and multiplexed screening of target biomarkers is critical and requires full system integration to ensure the accuracy of measurements. Here we present a mechanically flexible and fully integrated (that is, no external analysis is needed) sensor array for multiplexed in situ perspiration analysis, which simultaneously and selectively measures sweat metabolites (such as glucose and lactate) and electrolytes (such as sodium and potassium ions), as well as the skin temperature (to calibrate the response of the sensors). Our work bridges the technological gap between signal transduction, conditioning (amplification and filtering), processing and wireless transmission in wearable biosensors by merging plastic-based sensors that interface with the skin with silicon integrated circuits consolidated on a flexible circuit board for complex signal processing. This application could not have been realized using either of these technologies alone owing to their respective inherent limitations. The wearable system is used to measure the detailed sweat profile of human subjects engaged in prolonged indoor and outdoor physical activities, and to make a real-time assessment of the physiological state of the subjects. This platform enables a wide range of personalized diagnostic and physiological monitoring applications.
AI snapshot
Written from the paper’s full text.
TL;DR
A flexible wearable sensing array with full on-board integration was built to measure sweat glucose, lactate, sodium, potassium, and skin temperature at the same time, with signal conditioning, processing, and Bluetooth transmission. Human exercise trials showed it could track sweat profiles in real time and detect dehydration-related electrolyte changes.
Key findings
- The platform merged plastic-based sensors with silicon integrated circuits on a flexible printed circuit board, enabling multiplexed sweat analysis without external analysis; five sensors measured metabolites, electrolytes, and skin temperature.
- In vitro sensitivities were 2.35 nA μM−1 for glucose over 0–200 μM, 220 nA mM−1 for lactate over 0–30 mM, 64.2 mV per decade for Na+ over 10–160 mM, 61.3 mV per decade for K+ over 1–32 mM, and about 0.18% per degree Celsius for temperature over 20–40 °C.
- Sensors showed negligible interference from non-target species, and temperature compensation corrected enzymatic sensor overestimation; long-term tests indicated stable sensitivities for at least four weeks, with Na+/K+ at about 62.5 and 59.5 mV per decade in ambient conditions and glucose/lactate within 5% of original values when stored at 4 °C.
- On-body trials with 26 healthy subjects (4 females, 22 males, aged 20–40) tracked sweat during cycling and outdoor running; dehydration trials without water intake showed sweat [Na+] increases after about 80 min and roughly 2.5% body-weight loss, while euhydration with 150 ml water every 5 min kept [Na+] and [K+] stable after initial changes.
Methods
- Design: a five-sensor array on PET with 3-mm electrodes, including enzymatic amperometric glucose/lactate sensors, ion-selective Na+/K+ sensors, and a resistive temperature sensor, integrated with an FPCB containing analogue conditioning, an ATmega328P microcontroller, and Bluetooth.
- Data: in vitro characterization in analyte solutions and artificial sweat; on-body testing in constant-load cycling (14 volunteers: 4 females, 10 males), graded cycling (7 males), and outdoor running (12 males), plus ex situ sweat comparisons.
- Analysis: chronoamperometry for glucose/lactate, open-circuit potentiometry for Na+/K+, resistance for temperature, with on-board calibration/compensation and wireless data relay to a mobile app.
Limitations
- Stated: glucose and lactate sensor responses degraded after about two hours of use because of reduced enzyme activity, though the sensor array can be replaced via the sensor–FPCB interface.
- Stated: wearing the plastic-substrate device raised local temperature, which may slightly bias actual skin-temperature readings, but on-board calibration was reported to prevent impact on electrolyte and metabolite measurements; in vitro temperature-compensation tests also had noise from uneven solution heating.
- Evident: the human sample was small and heavily male-skewed (26 total; 4 females, 22 males; graded and outdoor running trials included only males), and the paper does not report long-term continuous use beyond the exercise sessions for the enzymatic sensors.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
16 of 42 cited sources checked · 4 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Skin temperature is clinically informative of various diseases and skin injuries such as pressure ulcers.
“skin temperature is clinically informative of a variety of diseases and skin injuries such as pressure ulcers23,24.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [23] Webb, R. C. et al. Ultrathin conformal devices for precise and continuous thermal characterization of human skin. Nature Mater. 12, 938–944 (2013) source
The Abstract says that skin thermometry can provide clinically relevant information about cardiovascular health, malignancy and other aspects of physiology. It does not link skin temperature to pressure ulcers or establish its clinical value for assessing skin injuries; its mention of wound healing concerns local heating as a possible intervention. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [24] Sprigle, S., Linden, M., McKenna, D., Davis, K. & Riordan, B. Clinical skin temperature measurement to predict incipient pressure ulcers. Adv. Skin Wound Care 14, 133–137 (2001) source
- Interpretationcitation
The decreases in sweat lactate and glucose concentrations are expected due to dilution from increased sweat rate as exercise continues.
“The decreases in concentration of lactate and glucose in sweat are expected, owing to the dilution effect caused by an increase in sweat rate, which is visually observed as exercise continues13.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [13] Sonner, Z. et al. The microfluidics of the eccrine sweat gland, including biomarker partitioning, transport, and biosensing implications. Biomicrofluidics 9, 031301 (2015) source
The Introduction (page not available in our copy) explains that increasing sweat flow can dilute biomarkers whose transport into sweat is slower than the flow. It does not establish that lactate and glucose concentrations both decrease as exercise continues; instead, it says high-exertion tests can show a spike in sweat lactate associated with sweat rate. (LLM, conf=0.83)
Experimental — accuracy not yet measured
- Interpretationcitation
The relatively stable [K+] behavior is explained by passive ion partitioning.
“The relatively stable behaviour of [K+] is explained by its passive ion partitioning mechanism13.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [13] Sonner, Z. et al. The microfluidics of the eccrine sweat gland, including biomarker partitioning, transport, and biosensing implications. Biomicrofluidics 9, 031301 (2015) source
The section headed “Passive ion partitioning: Potassium (mM)” reports that sweat K+ concentration is independent of sweat rate, supporting the description of relatively stable behavior. But it says the precise partitioning mechanism has not been fully confirmed, so it does not establish passive partitioning as the explanation. No page number is available in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Interpretationcitation
With a single-centred flow model, the shortest sampling interval is under 1 min, calculated from the sweat rate (~3-4 mg min−1 cm−2) and the pad dimensions (1.5 cm × 2 cm × 50 μm).
“Assuming a single-centred flow model13, the best-case sampling interval can be calculated to be less than 1 min, based on the sweat rate (~3–4 mg min−1 cm−2)39 and the pad size (1.5 cm × 2 cm × 50 μm).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [13] Sonner, Z. et al. The microfluidics of the eccrine sweat gland, including biomarker partitioning, transport, and biosensing implications. Biomicrofluidics 9, 031301 (2015) source
- cites [39] Vimieiro-Gomes, A. C. Comparison of sweat rate during graded exercise and the local rate induced by pilocarpine. Braz. J. Med. Biol. Res. 38, 1133–1139 (2005) source
The Abstract (page unavailable) reports local exercise-induced sweat rates of 2.1 ± 1.4 and 2.7 ± 1.2 mg cm−2 min−1 in nine young men. That supports using a sweat rate on the order of 3 for an estimate, but not the cited value of approximately 3–4 as a reported rate. The citation is attached to the sweat-rate input, not to the flow model, pad dimensions, or calculated interval. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- The authors state this as an assumption: Sweat flow can be modeled as a single-centred flow.
- Interpretationcitation
Lactate concentration becomes relatively stable after 1,100 s, indicating stabilization of physiological responses to continuous sub-maximal constant-exercise power output.
“However, lactate concentration becomes relatively stable after 1,100 s, indicating the stabilization of physiological responses to continuous, sub-maximal constant-exercise power output22.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [22] Derbyshire, P. J., Barr, H., Davis, F. & Higson, S. P. Lactate in human sweat: a critical review of research to the present day. J. Physiol. Sci. 62, 429–440 (2012) source
The review’s “Sweat lactate variation with exercise intensity” section (page unavailable) reports that sweat lactate decayed and then reached a plateau during incremental cycling. It does not give 1,100 s as the time of stabilization or interpret the plateau as stabilization of physiological responses during continuous, sub-maximal constant-power exercise. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Findingcitation
Initial drift in the glucose and lactate sensor responses, caused by Faraday and capacitive currents, settled within one minute of recording.
“Owing to Faraday and capacitive currents38, the responses of both sensors showed drift initially but stabilized within 1 min of the data recording.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [38] Grieshaber, D., MacKenzie, R., Vörös, J. & Reimhult, E. Electrochemical biosensors—sensor principles and architectures. Sensors 8, 1400–1458 (2008) source
The Electrochemical Detection Techniques section (page unavailable) describes time-dependent current in chronoamperometry, but attributes current changes to the diffusion layer. Searches for Faradaic and capacitive currents, sensor drift, and one-minute stabilization found no passage connecting those currents to initial drift in glucose and lactate sensor responses. (LLM, conf=0.73)
Experimental — accuracy not yet measured
- Findingreasoning
Independent and selective operation of individual sensors is preserved during multiplexed measurements by using highly specific surface chemistries and electrically decoupling each sensor interface's operating points.
“The independent and selective operation of individual sensors is preserved during multiplexed measurements by employing highly specific surface chemistries and by electrically decoupling the operating points of each sensor's interface.”
Quote in the paperSubstantial claim - Findingcitation
Using PEDOT:PSS as an ion-to-electron transducer and carbon nanotubes in the PVB reference membrane yields robust potentiometric sensors for long-term continuous measurements with negligible voltage drift.
“By using poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) as an ion-to-electron transducer in the ISEs and carbon nanotubes in the PVB reference membrane25, robust potentiometric sensors (with voltage output) can be obtained for long-term continuous measurements with negligible voltage drift.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [25] Zhu, J., Qin, Y. & Zhang, Y. Preparation of all solid-state potentiometric ion sensors with polymer-CNT composites. Electrochem. Commun. 11, 1684–1687 (2009) source
- Findingreasoning
The enzymatic sensors autonomously generate current signals proportional to the abundance of the corresponding metabolites between the working electrode and the Ag/AgCl electrode.
“These enzymatic sensors autonomously generate current signals proportional to the abundance of the corresponding metabolites between the working electrode and the Ag/AgCl electrode.”
Quote in the paperSubstantial claim - Findingown data
Na+ and K+ measurement uses ion-selective electrodes coupled with a PVB-coated reference electrode to maintain a stable potential in solutions of different ionic strengths.
“The measurement of Na+ and K+ levels is facilitated through the use of ion-selective electrodes (ISEs), coupled with a polyvinyl butyral (PVB)-coated reference electrode to maintain a stable potential in solutions with different ionic strengths (Extended Data Fig. 2b–d).”
Quote in the paperSubstantial claim - Findingown data
Under ambient conditions, Na+ and K+ sensors showed similar sensitivities of 62.5 mV and 59.5 mV per decade of concentration, respectively.
“It was observed that the Na+ and K+ sensors had approximately the same sensitivities of 62.5 mV and 59.5 mV per decade of concentration, respectively, in ambient conditions.”
Quote in the paperNot a substantial claim - Findingown data
The biosensors' sensitivities are consistent over at least four weeks in repeatability and long-term stability studies.
“Results of repeatability and long-term stability studies indicate that the sensitivities of the biosensors are consistent over a period of at least four weeks (Extended Data Fig. 6).”
Quote in the paperSubstantial claim - Findingown data
Chloride concentration differences alter the potential difference between the Ag/AgCl reference and PVB electrodes.
“because the potential difference between the Ag/AgCl reference and PVB electrodes changes in the presence of different chloride ion concentrations (Extended Data Fig. 2b).”
Quote in the paperSubstantial claim - Findingnone given
ISEs can show different absolute potentials when placed in the same solution.
“However, there are differences in absolute potential values for ISEs in the same solution.”
Quote in the paperSubstantial claim - Findingown data
All four signal-conditioning channels showed an excellent linear response, with a correlation factor R2 = 1.
“As illustrated in Extended Data Fig. 5a–d, all four signal-conditioning channels demonstrated an excellent linear response (correlation factor R2 = 1).”
Quote in the paperNot a substantial claim - Findingown data
The sensor array could be reused repeatedly for continuous monitoring of temperature and sweat electrolytes.
“The sensor array could be repeatedly used for continuous temperature and sweat electrolyte monitoring.”
Quote in the paperSubstantial claim - Findingown data
Mechanical deformation before, during, and after bending at radii of 1.5 cm and 3 cm causes minimal output changes in the FISA's responses.
“A study on mechanical deformation conducted by monitoring the performance of both the sensor array and the FPCB before, during and after bending (radii of curvature are 1.5 cm and 3 cm, respectively) (Extended Data Fig. 8) reveals minimal output changes in the FISA's responses.”
Quote in the paperSubstantial claim - Findingnone given
The glucose and lactate sensors did not require calibration.
“No calibration was needed for the glucose and lactate sensors.”
Quote in the paperNot a substantial claim - Findingown data
FISA responses during 75-W power output follow profiles similar to those in the constant-load study.
“Responses of the FISA during 75-W power output follow profiles similar to those observed during the constant-load study.”
Quote in the paperNot a substantial claim - Findingown data
The resistive temperature sensor has a linear response in the physiological skin temperature range of 20-40 °C with a sensitivity of approximately 0.18% per degree Celsius normalized to resistance at 20 °C.
“Figure 2e displays the linear response of the resistive temperature sensor in the physiological skin temperature range of 20–40 °C with a sensitivity of approximately 0.18% per degree Celsius (normalized to the resistance at 20 °C).”
Quote in the paperNot a substantial claim - Findingnone given
On-body measurements agreed with ex situ tests using freshly collected sweat.
“The on-body measurement results were also consistent with ex situ tests using freshly collected sweat samples.”
Quote in the paperSubstantial claim - Findingown data
During constant-load exercise, skin temperature remains constant at 34 °C until perspiration initiation at about 320 s.
“The skin temperature remains constant at 34 °C up to perspiration initiation at about 320 s.”
Quote in the paperNot a substantial claim - Findingcitation
The change in lactate concentration varies between subjects.
“The change in lactate concentration, on the other hand, varies between subjects.”
Quote in the paperNot a substantial claim - Findingown data
Two FISAs packaged as a smart wristband and a smart headband allow real-time perspiration monitoring on the wrist and forehead simultaneously during stationary leg cycling.
“Figure 3a shows a human subject wearing two FISAs, packaged as a ‘smart wristband’ and a ‘smart headband’, allowing for real-time perspiration monitoring on the wrist and forehead simultaneously during stationary leg cycling.”
Quote in the paperSubstantial claim - Findingown data
In graded-load exercise, increasing power output from 75 W to 200 W immediately causes abrupt elevations in heart rate, minute ventilation, and VO2.
“As demonstrated in Fig. 3e, the dramatic increase in the exercise power output from 75 W to 200 W immediately leads to abrupt elevations of heart rate, minute ventilation and VO2.”
Quote in the paperNot a substantial claim - Findingown data
Na+ and K+ ion-selective sensors show near-Nernstian behavior with sensitivities of 64.2 mV and 61.3 mV per decade of concentration, respectively.
“Both ion-selective sensors show a near-Nerstian (according to the Nerstian equation, the theoretical sensitivity of the ISE-based sensors should be 59) behaviour with sensitivities of 64.2 mV and 61.3 mV per decade of concentration for Na+ and K+ sensors, respectively.”
Quote in the paperSubstantial claim - Findingown data
In euhydration trials with water intake of 150 ml per 5 min, sweat [Na+] and [K+] are stable throughout running after initial [Na+] increase and [K+] decrease.
“Figure 4b and c shows that sweat [Na+] and [K+] are stable throughout running in euhydration trials (with water intake of 150 ml per 5 min) after the initial [Na+] increase and [K+] decrease.”
Quote in the paperSubstantial claim - Findingcitation
Glucose and lactate sensor responses increase rapidly when solution temperature rises from 22 °C to 40 °C, reflecting increased enzyme activities.
“Figure 2g shows that the responses of glucose and lactate sensors increase rapidly upon elevation of the solution temperature from 22 °C to 40 °C, reflecting the effect of increased enzyme activities26.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] Jobst, G. et al. Thin-film microbiosensors for glucose-lactate monitoring. Anal. Chem. 68, 3173–3179 (1996) source
- Findingown data
When stored at 4 °C, the glucose and lactate sensors maintained their sensitivities within 5% of original values over four weeks.
“The sensitivities of the glucose and lactate sensors were similarly maintained within 5% of their original values over the four-week period when stored at 4 °C.”
Quote in the paperNot a substantial claim - Findingown data
System integration allows real-time compensation to calibrate sensor readings based on temperature variations.
“System integration allows for the implementation of real-time compensation to calibrate the sensor readings on the basis of temperature variations.”
Quote in the paperSubstantial claim - Findingown data
Ex situ measurements of [Na+] and [K+] from collected sweat samples show similar phenomena to on-body dehydration trends.
“Ex situ measurements of [Na+] and [K+] from collected sweat samples in Extended Data Fig. 10 also show similar phenomena.”
Quote in the paperNot a substantial claim - Findingown data
All sensors showed excellent stability throughout the exercise period during continuous use.
“For continuous use, all the sensors displayed excellent stability over the entire exercise period.”
Quote in the paperSubstantial claim - Findingown data
Glucose sensors show a linear current response in 0-200 μM glucose solutions with a sensitivity of 2.35 nA μM−1.
“A linear relationship between current and analyte concentrations with sensitivities of 2.35 nA μM−1 for glucose sensors and 220 nA mM−1 for lactate sensors was observed.”
Quote in the paperSubstantial claim - Findingown data
Non-target electrolytes and metabolites cause negligible interference to each sensor's response.
“Extended Data Fig. 7a–d shows that the presence of non-target electrolytes and metabolites causes negligible interference to the response of each sensor.”
Quote in the paperSubstantial claim - Findingown data
When all five sensors are integrated in the FISA, simultaneous system-level measurements maintain excellent selectivity upon varying concentrations of each analyte.
“When all five sensors are integrated in the FISA, simultaneous system-level measurements maintain excellent selectivity upon varying concentrations of each analyte (Fig. 2f and Extended Data Fig. 7e–h).”
Quote in the paperSubstantial claim - Findingown data
The FISAs can be comfortably worn on various body parts, including the forehead, wrists, and arms.
“The FISAs can be comfortably worn on various body parts, including the forehead, wrists and arms.”
Quote in the paperSubstantial claim - Findingnone given
The intrinsic response time of the FISA was shorter than the body's response time to physiological changes.
“The intrinsic response time of FISA was smaller than the body's response time to the changes in physiological conditions.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The application could not have been realized using flexible sensors or silicon integrated circuits alone because of their inherent limitations.
“This application could not have been realized using either of these technologies alone owing to their respective inherent limitations.”
Quote in the paperNot a substantial claim - Premisecitation
Sweat glucose is reported to be metabolically related to blood glucose.
“sweat glucose is reported to be metabolically related to blood glucose21;”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [21] Talary, M. S., Dewarrat, F., Huber, D. & Caduff, A. In vivo life sign application of dielectric spectroscopy and non-invasive glucose monitoring. J. Non-Cryst. Solids 353, 4515–4517 (2007) source
- Interpretationreasoning
The work bridges the technological gap between signal transduction, conditioning, processing, and wireless transmission in wearable biosensors by merging plastic-based skin-interfacing sensors with silicon integrated circuits on a flexible circuit board.
“Our work bridges the technological gap between signal transduction, conditioning (amplification and filtering), processing and wireless transmission in wearable biosensors by merging plastic-based sensors that interface with the skin with silicon integrated circuits consolidated on a flexible circuit board for complex signal processing.”
Quote in the paperSubstantial claim - Interpretationown data
Sweat [Na+] can potentially serve as an important biomarker for monitoring dehydration.
“Thus, sweat [Na+] can potentially serve as an important biomarker for monitoring dehydration.”
Quote in the paperSubstantial claim - Study design and conductnone given
The differential sensing stage reduced unwanted common-mode interference that would otherwise have degraded the fidelity of the sensor readings.
“Furthermore, the differential sensing stage also helped to minimize the unwanted common-mode interferences which would have otherwise degraded the fidelity of our sensor readings.”
Quote in the paperNot a substantial claim - Interpretationown data
Glucose and lactate responses declined after two hours of exercise, attributed to reduced enzyme activity.
“However, the glucose and lactate responses degraded beyond the exercise period (after two hours) owing to decreased enzyme activity.”
Quote in the paperNot a substantial claim - Interpretationcitation
Wearing a FISA on different body parts allows simultaneous monitoring and study of site-specific variations in electrolyte and metabolite levels.
“By wearing a FISA on different parts of the body, the site-specific variations in electrolyte and metabolite levels29 can also be monitored and studied simultaneously.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [29] Patterson, M. J., Galloway, S. D. R. & Nimmo, M. A. Variations in regional sweat composition in normal human males. Exp. Physiol. 85, 869–875 (2000) source
- Study design and conductown data
On-body sensor readings from the forehead were verified against ex situ measurements from collected sweat samples.
“The accuracy of on-body measurements was verified through the comparison of on-body sensor readings from the forehead with ex situ (off-body) measurements from collected sweat samples (Fig. 3b).”
Quote in the paperSubstantial claim - Interpretationcitation
The dip in skin temperature at perspiration initiation indicates the beginning of perspiration and evaporative cooling.
“The dip in temperature at this point indicates the beginning of perspiration and evaporative cooling27.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [27] Nadel, E. R., Bullard, R. W. & Stolwijk, J. A. Importance of skin temperature in the regulation of sweating. J. Appl. Physiol. 31, 80–87 (1971) source
- Premisenone given
Plastic-based device technologies lack the ability to implement sophisticated electronic functionalities for critical signal conditioning and processing.
“The plastic-based device technologies lack the ability to implement sophisticated electronic functionalities for critical signal conditioning and processing.”
Quote in the paperSubstantial claim - Premisecitation
Because ISE-based sensors have high impedance, high-impedance voltage buffers were needed for accurate open-circuit voltage measurement.
“Also, the high impedance nature of the ISE-based sensors37 required the use of high-impedance voltage buffers to ensure accurate open voltage measurement as intended.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [37] Bobacka, J. Potential stability of all-solid-state ion-selective electrodes using conducting polymers as ion-to-electron transducers. Anal. Chem. 71, 4932–4937 (1999) source
- Study design and conductreasoning
Electrical isolation was maintained between the voltage-sensing and current-sensing paths.
“With this approach we ensured that the voltage-sensing and current-sensing paths were electrically isolated.”
Quote in the paperSubstantial claim - Interpretationcitation
The variation in lactate concentration is attributed to increases in both lactate excretion rate and sweat rate with increased workload.
“This observation can be attributed to the increase in both lactate excretion rate and sweat rate upon the increase of the workload31.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] Buono, M. J., Lee, N. V. & Miller, P. W. The relationship between exercise intensity and the sweat lactate excretion rate. J. Physiol. Sci. 60, 103–107 (2010) source
- Study design and conductown data
Electrical characterization of every analogue signal-conditioning path confirmed that each channel's output responded linearly to input signals that simulated sensor outputs.
“In our implementation, each of the analogue signal conditioning paths were electrically characterized to validate the linear output response of the channels with respect to the corresponding electrical input signals mimicking the sensor output signals.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 22
- May combine two claims. 30
- The quote only partly states this claim. 1
Probably not a substantial claim: may not pass S2 (checkable).
PremisecitationWearable sensor technologies are essential for personalized medicine through continuous monitoring of an individual's health.
“Wearable sensor technologies are essential to the realization of personalized medicine through continuously monitoring an individual's state of health1–12.”
Quote in the paperNot a substantial claim3 of 10 sources checked- cites [1] Kim, D. H. et al. Epidermal electronics. Science 333, 838–843 (2011) source
The paper’s Abstract describes skin-integrated sensors for physiological-status monitoring, and its ECG, EMG and EEG demonstrations show that they can measure an individual’s signals. It does not establish that wearable sensors are essential to personalized medicine or demonstrate continuous health monitoring; it notes that long-term use requires further work (Abstract; page unavailable). (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [2] Lipomi, D. J. et al. Skin-like pressure and strain sensors based on transparent elastic films of carbon nanotubes. Nature Nanotechnol. 6, 788–792 (2011) source
- cites [3] Takei, K. et al. Nanowire active-matrix circuitry for low-voltage macroscale artificial skin. Nature Mater. 9, 821–826 (2010) source
- cites [4] Wu, W. et al. Piezoelectricity of single-atomic-layer MoS2 for energy conversion and piezotronics. Nature 514, 470–474 (2014) source
- cites [5] McAlpine, M. C., Ahmad, H., Wang, D. & Heath, J. R. Highly ordered nanowire arrays on plastic substrates for ultrasensitive flexible chemical sensors. Nature Mater. 6, 379–384 (2007) source
The Abstract (p. 1) says flexible chemical and biological sensors could enable wearable monitoring systems. It does not establish that wearable sensors are essential to personalized medicine or that they continuously monitor an individual's health; those claims are stronger and more specific than the paper's proposed application. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [6] Kaltenbrunner, M. et al. An ultra-lightweight design for imperceptible plastic electronics. Nature 499, 458–463 (2013) source
- cites [7] Xu, S. et al. Soft microfluidic assemblies of sensors, circuits, and radios for the skin. Science 344, 70–74 (2014) source
The Abstract says skin-mounted sensors can provide clinical-quality health monitoring for continuous use and that continuous physiological monitoring is needed to treat many medical conditions. It does not say wearable sensors are essential to the realization of personalized medicine; that part overstates what the paper supports. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [8] Wang, C. et al. User-interactive electronic skin for instantaneous pressure visualization. Nature Mater. 12, 899–904 (2013) source
- cites [9] Liang, J., Li, L., Niu, X., Yu, Z. & Pei, Q. Elastomeric polymer light-emitting devices and displays. Nature Photon. 7, 817–824 (2013) source
- cites [10] Kim, D. H., Ghaffari, R. & Rogers, J. A. Flexible and stretchable electronics for biointegrated devices. Annu. Rev. Biomed. Eng. 14, 113–128 (2012) source
May combine two claims.
PremisecitationPreviously reported sweat-based and other non-invasive biosensors either monitor only one analyte at a time or lack on-site signal processing and calibration for accurate physiological analysis.
“Previously reported sweat-based and other non-invasive biosensors either can only monitor a single analyte at a time or lack on-site signal processing circuitry and sensor calibration mechanisms for accurate analysis of the physiological state14–18.”
Quote in the paperSubstantial claim2 of 5 sources checked- cites [14] Schazmann, B. et al. A wearable electrochemical sensor for the real-time measurement of sweat sodium concentration. Anal. Methods 2, 342–348 (2010) source
- cites [15] Jia, W. et al. Electrochemical tattoo biosensors for real-time noninvasive lactate monitoring in human perspiration. Anal. Chem. 85, 6553–6560 (2013) source
- cites [16] Coyle, S. et al. BIOTEX—biosensing textiles for personalised healthcare management. IEEE Trans. Inf. Technol. Biomed. 14, 364–370 (2010) source
The Introduction describes limitations of earlier sweat-collection methods, but does not say that previously reported biosensors were restricted to one analyte or lacked on-site processing and calibration. It instead describes BIOTEX’s multiparametric patch; the sensor and control-electronics sections discuss calibration before trials and signal processing, without establishing the claimed either-or limitation of prior devices. (LLM, conf=0.76)
Experimental — accuracy not yet measured - cites [17] Bandodkar, A. J. et al. Epidermal tattoo potentiometric sodium sensors with wireless signal transduction for continuous non-invasive sweat monitoring. Biosens. Bioelectron. 54, 603–609 (2014) source
- cites [18] Rose, D. P. et al. Adhesive RFID sensor patch for monitoring of sweat electrolytes. IEEE Trans. Biomed. Eng. 62, 1457–1465 (2015) source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSweat lactate can potentially serve as a sensitive marker of pressure ischaemia.
“sweat lactate can potentially serve as a sensitive marker of pressure ischaemia22;”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [22] Derbyshire, P. J., Barr, H., Davis, F. & Higson, S. P. Lactate in human sweat: a critical review of research to the present day. J. Physiol. Sci. 62, 429–440 (2012) source
May combine two claims.
PremisecitationHuman sweat contains physiologically rich information, and sampling it could enable non-invasive monitoring.
“Sampling human sweat, which is rich in physiological information13, could enable non-invasive monitoring.”
- Also stated in: § Abstract · plain
“Measurements of human sweat could enable such insight, because it contains physiologically and metabolically rich information that can be retrieved non-invasively13.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [13] Sonner, Z. et al. The microfluidics of the eccrine sweat gland, including biomarker partitioning, transport, and biosensing implications. Biomicrofluidics 9, 031301 (2015) source
- Also stated in: § Abstract · plain
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA two-electrode configuration using Ag/AgCl as both reference and counter electrode is a standard approach for low-current electrochemical sensing.
“The two-electrode system is a common strategy for low-current electrochemical sensing34,35.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [34] Kudo, H. et al. A flexible and wearable glucose sensor based on functional polymers with Soft-MEMS techniques. Biosens. Bioelectron. 22, 558–562 (2006) source
- cites [35] Bandodkar, A. J. et al. Tattoo-based noninvasive glucose monitoring: a proof-of-concept study. Anal. Chem. 87, 394–398 (2015) source
The Results and Discussion section describes this tattoo glucose sensor using an Ag/AgCl electrode as a combined counter/reference electrode alongside a working electrode (page unavailable). It does not say that this two-electrode configuration is a common or standard strategy for low-current electrochemical sensing; its discussion of lower current density concerns glucose extraction by reverse iontophoresis, not the sensing configuration. (LLM, conf=0.85)
Experimental — accuracy not yet measured
May combine two claims.
InterpretationcitationThe dehydration trends are probably caused by increased blood serum [Na+] and [K+] with dehydration and increased neural stimulation, agreeing with previous ex situ sweat analyses.
“These trends are probably caused by increased blood serum [Na+] and [K+] with dehydration and increased neural stimulation, a conclusion in agreement with previous ex situ sweat analyses33.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [33] Morgan, R. M., Patterson, M. J. & Nimmo, M. A. Acute effects of dehydration on sweat composition in men during prolonged exercise in the heat. Acta Physiol. Scand. 182, 37–43 (2004) source
The Results report higher serum Na+ and K+ during dehydration, and the Discussion proposes greater extracellular Na+ and sympathetic nervous activity as possible explanations for higher sweat Na+. The Discussion’s concluding mechanism emphasizes Na+ and Cl−, aldosterone, and sympathetic activity; it does not identify increased serum K+ as a specific cause. The Experimental procedures describe sweat collected from a forearm patch and analyzed after collection, consistent with ex situ analysis. Page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
Findingnone givenThe paper presents a mechanically flexible, fully integrated sensor array for multiplexed in situ perspiration analysis that simultaneously and selectively measures sweat metabolites such as glucose and lactate, electrolytes such as sodium and potassium, and skin temperature for sensor calibration.
“Here we present a mechanically flexible and fully integrated (that is, no external analysis is needed) sensor array for multiplexed in situ perspiration analysis, which simultaneously and selectively measures sweat metabolites (such as glucose and lactate) and electrolytes (such as sodium and potassium ions), as well as the skin temperature (to calibrate the response of the sensors).”
- Also stated in: § Abstract · plain
“Here we present a wearable flexible integrated sensing array (FISA) for simultaneous and selective screening of a panel of biomarkers in sweat (Fig. 1a).”
Quote in the paperSubstantial claim- Also stated in: § Abstract · plain
May combine two claims.
FindingreasoningThe wearable system measures detailed sweat profiles of human subjects during prolonged indoor and outdoor physical activities and makes real-time assessments of their physiological state.
“The wearable system is used to measure the detailed sweat profile of human subjects engaged in prolonged indoor and outdoor physical activities, and to make a real-time assessment of the physiological state of the subjects.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPrussian blue mediator minimizes reduction potentials to approximately 0 V versus Ag/AgCl, eliminating the need for an external power source to activate the sensors.
“The use of Prussian blue dye as a mediator minimizes the reduction potentials to approximately 0 V (versus Ag/AgCl) (Extended Data Fig. 2a), and thus eliminates the need for an external power source to activate the sensors.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe water-absorbent rayon pad could hold about 10 μl of sweat, enough to give stable sensor readings.
“The pad could absorb about 10 μl of sweat, which was sufficient to provide stable sensor readings.”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationSweat [Na+] increases and [K+] decreases at the beginning of perspiration, consistent with previous ex situ studies.
“Sweat [Na+] increases and [K+] decreases in the beginning of perspiration, in line with the previous ex situ studies from the collected sweat samples28,29.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [28] Cage, G. W., Wolfe, S. M., Thompson, R. H. & Gordon, R. S. Jr. Effects of water intake on composition of thermal sweat in normal human volunteers. J. Appl. Physiol. 29, 687–690 (1970) source
- cites [29] Patterson, M. J., Galloway, S. D. R. & Nimmo, M. A. Variations in regional sweat composition in normal human males. Exp. Physiol. 85, 869–875 (2000) source
May combine two claims.
Findingown dataThe entire system is mechanically flexible, making it a practical wearable sensor technology for prolonged indoor and outdoor physical activities.
“Importantly, the entire system is mechanically flexible, thus delivering a practical wearable sensor technology that can be used for prolonged indoor and outdoor physical activities.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
FindingreasoningConditioning the ion-selective sensors with a solution containing 0.1-M NaCl and 0.01-M KCl for 1 h before measurements further minimizes potential drift.
“This conditioning process was important to minimize the potential drift further.”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationNo apparent difference in glucose concentration is observed at different power output settings, consistent with blood glucose response to graded short-term exercise.
“No apparent difference is observed for glucose concentration at different power output settings, a finding consistent with the response of blood glucose to graded, short-term exercise30.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] Messonnier, L. A. et al. Lactate kinetics at the lactate threshold in trained and untrained men. J. Appl. Physiol. 114, 1593–1602 (2013) source
May combine two claims.
Findingown dataThe sensitivity relative standard deviation was roughly 1% for Na+ and K+ sensors and roughly 5% for glucose and lactate sensors.
“Extended Data Fig. 6a–d show that Na+ and K+ sensors had a relative standard deviation of ~1% in sensitivity while glucose and lactate sensors had a relative standard deviation of ~5% in sensitivity.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataTemperature has minimal effect on potentiometric sensors but greatly influences enzymatic sensor performance.
“Although temperature has a minimal effect on the potentiometric sensors, it greatly influences the performance of the enzymatic sensors.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAfter power is raised, sweat rate visibly increases, followed by sharp increases in skin temperature and sweat [Na+] and a slight increase in [K+], with [K+] remaining stable in three of seven subjects.
“After the power is raised, the sweat rate visibly increases, followed by a sharp increase in skin temperature and sweat [Na+] as well as a slight increase in [K+] (in three of the seven subjects, [K+] remained stable).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Findingnone givenA parylene insulating layer ensures reliable sensor reading by preventing electrical contact of metal lines with skin and sweat.
“Parylene is used as an insulating layer to ensure reliable sensor reading by preventing electrical contact of the metal lines with skin and sweat.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenBoth sweat [Na+] and [K+] stabilize as cycling continues.
“Both [Na+] and [K+] stabilize as the cycling continues.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWithout temperature compensation, increasing temperature leads to substantial overestimation of glucose and lactate concentrations; with compensation, readings are accurate and consistent.
“Figure 2h illustrates that with the increase of temperature, the uncompensated sensor readouts can lead to substantial overestimation of the actual concentration of the given glucose and lactate solutions; however, the temperature compensation allows for accurate and consistent readings.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSweat analyte levels on the wrist follow similar trends to those on the forehead but with different concentrations.
“Sweat analyte levels on the wrist follow similar trends but with concentrations different from those obtained at the forehead (Extended Data Fig. 9).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataDuring constant-load exercise, heart rate, oxygen consumption, and pulmonary minute ventilation increased proportionally with increasing power output.
“During the exercise, the heart rate, oxygen consumption (VO2), and pulmonary minute ventilation were measured using external monitoring instruments, and were found to increase proportionally with increasing power output as shown in Fig. 3c.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn dehydration trials without water intake, after 80 min when subjects lost about 2.5% of body weight, sweat [Na+] substantially increases and sweat [K+] increases less, with no clear increase in two of six subjects.
“On the other hand, a substantial increase in sweat [Na+] and a smaller increase in sweat [K+] (no clear increase in [K+] was observed in two out of six subjects) were observed in dehydration trials (without water intake) after 80 min when subjects had lost a large amount of water (~2.5% of body weight) (Fig. 4d and e).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWith continued perspiration, skin temperature rises at about 400 s due to muscle heat conductance to skin and then remains stable, while sweat lactate and glucose concentrations decrease gradually.
“With continued perspiration, the skin temperature rises at about 400 s because of muscle heat conductance to skin and then remains stable, while the concentration of both lactate and glucose in sweat decrease gradually.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataLactate sensors show a linear current response in 0-30 mM lactate solutions with a sensitivity of 220 nA mM−1.
“A linear relationship between current and analyte concentrations with sensitivities of 2.35 nA μM−1 for glucose sensors and 220 nA mM−1 for lactate sensors was observed.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenThe sensor-FPCB interface permits convenient replacement of fresh sensor arrays for later use.
“The sensor–FPCB interface allows for convenient replacement of the fresh sensor arrays for subsequent use.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenWith cessation of exercise, these physiological responses decrease and then remain stable.
“With the cessation of exercise, these physiological responses decrease and then remain stable.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenThe Na+ and K+ ion-selective sensors can be used without preconditioning, with a drift of about 2-3 mV per hour.
“The sensors could be used without pre-conditioning (with a small drift of ~2–3 mV h−1).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe current-sensing signal paths had a detection capability down to 1 nA, well below the smallest signal observed in the measurements (tens of nanoamperes).
“The current sensing signal paths were capable of measuring current levels as low as 1 nA, which was much lower than the minimum signal in our measurements (tens of nanoamperes).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataWearing the smart headband or smart wristband increased temperature because of the plastic substrate on the skin.
“An increase in temperature was observed when the ‘smart headband’ or ‘smart wristband’ was worn owing to the use of the plastic substrate on skin.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe platform enables a wide range of personalized diagnostic and physiological monitoring applications.
“This platform enables a wide range of personalized diagnostic and physiological monitoring applications.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationExcessive loss of sodium and potassium in sweat could result in hyponatremia, hypokalemia, muscle cramps, or dehydration.
“For example, excessive loss of sodium and potassium in sweat could result in hyponatremia, hypokalemia, muscle cramps or dehydration20;”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [20] Speedy, D. B., Noakes, T. D. & Schneider, C. Exercise-associated hyponatremia: a review. Emerg. Med. 13, 17–27 (2001) source
May combine two claims.
PremisecitationFor current sweat analysis applications, sample collection and analysis are performed separately, preventing real-time sweat content profiling and requiring bulky laboratory instrumentation.
“For these applications, the sample collection and analysis are performed separately, failing to provide a real-time profile of sweat content secretion, while requiring extensive laboratory analysis using bulky instrumentation19.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [19] Boysen, T. C., Yanagawa, S., Sato, F. & Sato, K. A modified anaerobic method of sweat collection. J. Appl. Physiol. 56, 1302–1307 (1984) source
Classified as probably not a substantial claim. May combine two claims.
PremisereasoningBecause sweat secretion is complex, simultaneous multiplexed screening of target biomarkers is critical and requires full system integration to ensure measurement accuracy.
“Given the complexity of sweat secretion, simultaneous and multiplexed screening of target biomarkers is critical and requires full system integration to ensure the accuracy of measurements.”
Quote in the paperSubstantial claim- Rests on an assumption: Sweat secretion involves multivariate mechanisms and is complex.
Probably not a substantial claim: may not pass S4 (based).
Premisenone givenSkin temperature measurements are needed to compensate for and eliminate temperature variation effects on chemical sensor readings through a built-in signal processor.
“Additionally, skin temperature measurements are needed to compensate for and eliminate the influence of temperature variation in the readings of the chemical sensors through a built-in signal processor.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe approach decouples stringent mechanical requirements at the sensor level from electrical requirements at signal conditioning, processing, and transmission levels, while exploiting the strengths of the underlying technologies.
“This approach decouples the stringent mechanical requirements at the sensor level and electrical requirements at the signal conditioning, processing and transmission levels, and at the same time exploits the strengths of the underlying technologies.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenConvection and uneven solution temperature distributions could cause noticeable noise in signal measurements.
“The convection and non-uniform distributions of solution temperature could result in noticeable noise in the signal measurements.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningThe platform could be exploited or reconfigured for in situ analyses of other biomarkers in sweat and other human fluid samples to facilitate personalized and real-time physiological and clinical investigations.
“This platform could be exploited or reconfigured for in situ analyses of other biomarkers within sweat and other human fluid samples to facilitate personalized and real-time physiological and clinical investigations.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningDuring on-body tests, fresh sweat refilled the pad and washed away older sweat.
“During on-body tests, the newly generated sweat would refill the pad and ‘rinse away’ the old sweat.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisereasoningSilicon integrated-circuit technology does not provide sufficiently large active areas nor the intimate skin contact required for stable and sensitive on-body measurements.
“On the other hand, the silicon integrated-circuit technology does not provide sufficiently large active areas nor the intimate skin contact required to achieve stable and sensitive on-body measurements.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationBecause the subject had a lower sweat rate at the wrist, the sensors were activated later there.
“In this case, because the subject had a lower sweat rate at the wrist29, the sensors were activated at a later time.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Patterson, M. J., Galloway, S. D. R. & Nimmo, M. A. Variations in regional sweat composition in normal human males. Exp. Physiol. 85, 869–875 (2000) source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationFluid deficit impairs endurance performance and increases carbohydrate reliance, making hydration monitoring important for athletes.
“Monitoring hydration status is of the utmost importance to athletes because fluid deficit impairs endurance performance and increases carbohydrate reliance32.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [32] Barr, S. I. Effects of dehydration on exercise performance. Can. J. Appl. Physiol. 24, 164–172 (1999) source
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Interpretationnone givenThe authors believe the wearable platform may enable new fundamental physiology studies through further on-body evaluation.
“We believe that this wearable platform may enable new fundamental physiology studies through further on-body evaluation.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataTo ensure fidelity, data collection for each channel occurred when sufficient sweat was present, indicated by stabilization of sensor readings within the physiologically relevant range.
“To ensure the fidelity of sensor readings, the data collection of each channel took place when a sufficient sweat sample was present, as shown by stabilization of sensor readings within the physiologically relevant range (see Methods).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe ergometer's power output was calibrated and monitored.
“The power output was calibrated and monitored through the ergometer.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataAll participants provided written informed consent before joining the study.
“All subjects gave written, informed consent before participation in the study.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe on-body evaluation of the FISA followed a protocol approved by the University of California, Berkeley institutional review board (CPHS 2014-08-6636).
“The on-body evaluation of the FISA was performed in compliance with the protocol that was approved by the institutional review board at the University of California, Berkeley (CPHS 2014-08-6636).”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningAlthough the temperature increase may slightly bias actual skin temperature measurement, it does not affect electrolyte and metabolite measurements because of on-board temperature calibration.
“Although this may result in a small error in measuring the actual skin temperature, it should be noted that this does not have an impact on the measurement of the electrolytes and metabolites, owing to the on-board temperature calibration.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenBefore on-body wear, sensor arrays were calibrated and subjects' foreheads and wrists were cleaned with alcohol swabs and gauze.
“The sensor arrays were calibrated, and the subjects’ foreheads and wrists were cleaned with alcohol swabs and gauze before sensors were worn on-body.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Commercially available wearable sensors only track physical activities and vital signs and fail to provide molecular-level health insight.
“At present, commercially available wearable sensors are only capable of tracking an individual's physical activities and vital signs (such as heart rate), and fail to provide insight into the user's health state at molecular levels.”
The paper relies on this without support.
Sweat secretion involves multivariate mechanisms and is complex.
“Given the complexity of sweat secretion, simultaneous and multiplexed screening of target biomarkers is critical and requires full system integration to ensure the accuracy of measurements.”
“Given the multivariate mechanisms that are involved in sweat secretion, an attractive strategy would be to devise a fully integrated multiplexed sensing system to extract the complex information available from sweat.”
The paper relies on this without support.
Amperometric sensors with a larger area produce a larger current signal.
“It is known that amperometric sensors with larger area provide larger current signal.”
The paper relies on this without support.
A thinner Prussian blue layer provides better sensitivity, which is essential for measuring low glucose levels in sweat.
“A thinner Prussian blue layer can provide better sensitivity, which is essential for low-glucose-level measurements in sweat.”
The paper relies on this without support.
A thicker Prussian blue layer yields a broader linear response range, which is important for measuring lactate in sweat.
“A thicker Prussian blue layer can provide a wider linear response range, which is crucial for lactate measurement in sweat.”
The authors state this as an assumption.
Sweat flow can be modeled as a single-centred flow.
“Assuming a single-centred flow model13, the best-case sampling interval can be calculated to be less than 1 min, based on the sweat rate (~3–4 mg min−1 cm−2)39 and the pad size (1.5 cm × 2 cm × 50 μm).”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The Na+ sensor remains stable throughout the measurement period with a sensitivity of 56.2 mV/decade in 15 to 120 mM NaCl solutions, similar to sensitivities achieved by lithography-based Na+ sensors and close to the Nernstian ideal.
“The sensor remains stable throughout the measurement period with a sensitivity of 56.2 mV/decade, similar to sensitivities achieved by lithography-based Na+ sensors and close to the Nernstian ideal (23).”
From Regional and correlative sweat analysis using high-throughput microfluidic sensing patches toward decoding sweat (2019) · cites this paper as [23]
The sensor-performance passage (Fig. 2c–d; page not provided) describes the Na+ sensor as near-Nernstian, and Methods, 'The characterization of the sensors' (page not provided), reports stability during exercise and over four weeks. But the paper gives Na+ sensitivities of 64.2 and approximately 62.5 mV per decade, not 56.2; it tests 10–160 mM Na+, not 15–120 mM NaCl, and does not make the claimed comparison with lithography-based sensors. (LLM, conf=0.88)
Experimental — accuracy not yet measuredA fully integrated wearable sensor array for multiplexed in-situ perspiration analysis measured sodium, potassium, lactate, and glucose in sweat simultaneously by electrochemical methods.
“Recently, a fully integrated wearable sensor array for multiplexed in-situ perspiration analysis was reported, where the sodium, potassium, lactate, and glucose content of sweat can be measured simultaneously by electrochemical methods.”
From Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics (2022) · cites this paper as [83]
Conventional commercially available integrated-circuit components (more than ten chips) can be applied on an FPCB for data processing and transmission.
“Conventional commercially available integrated-circuit components (more than ten chips) can be applied on a FPCB to serve as data processing and transmission.[83]”
From Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics (2022) · cites this paper as [83]
Additional advances are needed to meet the challenging requirements of the NICU, where comprehensive, continuous sensing with wireless functionality, clinical-grade measurement fidelity, and mechanical form factors that eliminate risk of harm to exceptionally fragile neonatal skin are essential.
“Although such systems can support various types of biophysical measurements of physiological health (8–13), additional advances are needed to meet the challenging requirements of the NICU, where comprehensive, continuous sensing with wireless functionality, clinical-grade measurement fidelity, and mechanical form factors that eliminate risk of harm to exceptionally fragile neonatal skin are essent”
From Binodal, wireless epidermal electronic systems with in-sensor analytics for neonatal intensive care (2019) · cites this paper as [10]
Recently, tactile pressure sensors have been developed in the form of active-matrix arrays consisting of pressure-sensitive graphene transistors with air-dielectric layers.
“Recently, tactile pressure sensors have been developed in the form of active‐matrix arrays consisting of pressure‐sensitive graphene transistors with air–dielectric layers.33”
From Wearables in Medicine (2018) · cites this paper as [33]
The sensor-array description and Methods > Fabrication of electrode arrays describe electrodes for sweat biomarkers and skin temperature, not tactile pressure sensors. Searches for pressure-sensitive graphene transistors, active-matrix tactile arrays, and air-dielectric layers found no passage addressing the claimed design. No page number was available in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measured
These tactile sensors allowed detecting a broad pressure range from 250 Pa to 3 MPa.
“These tactile sensors allowed detecting a broad pressure range from 250 Pa to 3 MPa.”
From Wearables in Medicine (2018) · cites this paper as [33]
The sensor description (Fig. 1c) identifies sweat-metabolite, electrolyte and skin-temperature sensors, not tactile pressure sensors. Searches for tactile pressure sensing and the range 250 Pa to 3 MPa found no passage in our copy reporting that capability. (LLM, conf=0.78)
Experimental — accuracy not yet measuredJavey group, Gao group and Wang group focused on electrochemical biosensing of sweat using various wearable sweat patches for sweat rate, L-Dopa, C-reactive protein, cortisol, ketone, glucose, and therapeutic drugs.
“Javey group, Gao group and Wang group also focused on electrochemical biosensing of sweat using various wearable sweat patches for sweat rate [30], L-Dopa [138,139], and C-reactive protein [140], cortisol [141,142], ketone [143], glucose [144], and therapeutic drugs [145].”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [30]
Wearable sensors are helping clinical and healthcare services with the possible shift from centralized clinical diagnostics to more individualized and personalized home care.
“Wearable sensors are helping clinical and healthcare services with the possible shift from centralized clinical diagnostics to more individualized and personalized home care [29,30] (Figure 1a).”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [30]
Skin topography, skin temperature, and pH may interfere considerably with measurement results when sweat is sensed directly on the skin.
“In addition, since sweat is not sampled but sensed directly on the skin, the skin topography, skin temperature[ 10 ] and pH[ 11 ] may interfere considerably with the measurement results.”
From MicroSweat: A wearable microfluidic patch for noninvasive and reliable sweat collection enables human stress monitoring (2023) · cites this paper as [10]
The Berkeley team demonstrated simultaneous multiplexed detection of sweat metabolites (glucose and lactate) and electrolytes (sodium and potassium ions), along with skin temperature, by integrating a multi-sensing array.
“In this work, the Berkeley team demonstrated the simultaneous multiplexed detection of sweat metabolites (glucose and lactate) and electrolytes (sodium and potassium ions), along with skin temperature by integrating a multi-sensing array.”
From Wearable biosensors for healthcare monitoring (2019) · cites this paper as [35]
The reported multiplexed sweat biosensor system proved advantageous for monitoring fitness parameters during exercise, but its utility would be limited in continuous monitoring applications due to its reliance on physical exertion for sweat generation.
“The reported system proved advantageous for monitoring fitness parameters during exercise, but its utility would be limited in continuous monitoring applications due to its reliance on physical exertion for sweat generation.”
From Wearable biosensors for healthcare monitoring (2019) · cites this paper as [35]
Long-term stability studies indicate that the sensitivities of the biosensors are consistent over 2 weeks with sensitivity variations of less than 5%.
“Results of long-term stability studies of these electrochemical sensors indicate that the sensitivities of the biosensors are consistent over 2 wk with sensitivity variations of <5% (16).”
From Autonomous sweat extraction and analysis applied to cystic fibrosis and glucose monitoring using a fully integrated wearable platform (2017) · cites this paper as [16]
A previously demonstrated fully integrated wearable sensing system allows accurate measurement of sweat analytes through signal processing and calibration.
“We recently demonstrated a fully integrated wearable sensing system for real-time monitoring of multiple analytes in human perspiration during physical exercise which allows accurate measurement of sweat analytes through signal processing and calibration (16).”
From Autonomous sweat extraction and analysis applied to cystic fibrosis and glucose monitoring using a fully integrated wearable platform (2017) · cites this paper as [16]
The system allowed for real-time monitoring of body temperature, electrolytes (sodium and potassium ions), and metabolites (glucose and lactate) during prolonged indoor and outdoor physical activities.
“The system allowed for realtime monitoring of body temperature, electrolytes (sodium and potassium ions), and metabolites (glucose and lactate) during prolonged indoor and outdoor physical activities.”
From Nanomaterial-Enabled Wearable Sensors for Healthcare (2018) · cites this paper as [199]
The multisensor array exhibited good mechanical resiliency with good RSD (1% for electrolytes and 5% for metabolites).
“The multisensor array exhibited good mechanical resiliency with good RSD (1% for electrolytes and 5% for metabolites).”
From Nanomaterial-Enabled Wearable Sensors for Healthcare (2018) · cites this paper as [199]
Javey and co-workers reported an integrated system consisting of a flexible multiplexed sensor array, a flexible printed circuitry board and a customized app for perspiration/sweat analysis.
“Javey and co-workers reported an integrated system consisting of a flexible multiplexed sensor array, a flexible printed circuitry board and a customized app for perspiration/sweat analysis (Figure 8b).[199]”
From Nanomaterial-Enabled Wearable Sensors for Healthcare (2018) · cites this paper as [199]
Simultaneous and continuous monitoring of sweat profile during exercise can be conducted using wearable electrochemical sensors.
“Simultaneous and continuous monitoring of sweat profile during exercise can be conducted using wearable electrochemical sensors.[66,199]”
From Nanomaterial-Enabled Wearable Sensors for Healthcare (2018) · cites this paper as [199]
By wearing the device consisting of a multiplexed sensor array and a flexible printed circuitry board in the form of a wristband or headband, variations of skin temperature, electrolytes, and sweat metabolites in perspiration can be monitored wirelessly using a customized app on a smart phone.
“As illustrated in Figure 10d, by wearing the device consisting of a multiplexed sensor array and a flexible printed circuitry board in the form of a wristband or headband, variations of skin temperature, electrolytes, and sweat metabolites in perspiration can be monitored wirelessly using a customized app on a smart phone.[199]”
From Nanomaterial-Enabled Wearable Sensors for Healthcare (2018) · cites this paper as [199]
An increase in sweat [Na+] and a smaller increase in sweat [K+] were observed in dehydration trials (without water intake) after 80 min when subjects had lost a large amount of water (~2.5% of body weight).
“An increase in sweat [Na+] and a smaller increase in sweat [K+] were observed in dehydration trials (without water intake) after 80 min when subjects had lost a large amount of water (~2.5% of body weight).”
From Wearable sensors for monitoring the physiological and biochemical profile of the athlete (2019) · cites this paper as [44]
Sweat [Na+] and [K+] were deemed stable throughout running in euhydration trials (with water intake of 150 ml per 5 min) after the initial [Na+] increase and [K+] decrease.
“Sweat [Na+] and [K+] were deemed stable throughout running in euhydration trials (with water intake of 150 ml per 5 min) after the initial [Na+] increase and [K+] decrease.”
From Wearable sensors for monitoring the physiological and biochemical profile of the athlete (2019) · cites this paper as [44]
Gao et al. developed a flexible sweat sensor for the real-time detection of Na+, lactate, K+, glucose, and skin temperature.
“Gao et al. developed a flexible sweat sensor for the real-time detection of Na+, lactate, K+, glucose, and skin temperature.44”
From Wearable sensors for monitoring the physiological and biochemical profile of the athlete (2019) · cites this paper as [44]
Gao et al.'s epidermal sensor on a PET substrate enabled concurrent and continuous detection of sodium, lactate, potassium, glucose, and skin temperature.
“As previously mentioned, Gao et al.44 fabricated an epidermal sensor on a PET substrate for the concurrent and continuous detection of sodium, lactate, potassium, glucose, and skin temperature.”
From Wearable sensors for monitoring the physiological and biochemical profile of the athlete (2019) · cites this paper as [44]
Ex situ measurements of [Na+] and [K+] from collected sweat samples demonstrated similar phenomena.
“Ex situ measurements of [Na+] and [K+] from collected sweat samples demonstrated similar phenomena.”
From Wearable sensors for monitoring the physiological and biochemical profile of the athlete (2019) · cites this paper as [44]
Gao et al. demonstrated a wearable patch that can simultaneously track levels of metabolites and electrolytes in human sweat, but electrophysiology sensors were not included.
“Recently, Gao et al.41 demonstrated a wearable patch that can simultaneously track levels of metabolites and electrolytes in human sweat. However, electrophysiology sensors were not included, and such multimodal sensor fusion is crucial to obtain a more comprehensive knowledge about a wearer's well-being.”
From A wearable chemical–electrophysiological hybrid biosensing system for real-time health and fitness monitoring (2016) · cites this paper as [41]
Several research groups have recently developed mechanically flexible and fully integrated wearable sweat sensors for analysis of biofluid metabolites and electrolytes and pH sensing.
“Several research groups have recently developed mechanically flexible and fully integrated wearable sweat sensors (in wristband, temporary tattoo, eyeglasses, mouthguard) for analysis of biofluid metabolites and electrolytes (e.g., glucose, lactate, sodium, potassium) and pH sensing [156-160].”
From Wearables and the Medical Revolution (2018) · cites this paper as [156]
The wristband sweat sensor also measures skin temperature for calibration, and that data is useful in analyzing health.
“The wristband device also measures skin temperature for calibration, and that data is also useful in analyzing health as described earlier [126,156].”
From Wearables and the Medical Revolution (2018) · cites this paper as [156]
Sweat pads/patches developed at academic institutions have potential applications for measuring heat stress, dehydration and metabolism in athletes, soldiers, firefighters, and industrial laborers who exercise or work in hot environments.
“These devices have potential applications for measuring heat stress, dehydration and metabolism in athletes, soldiers, firefighters, and industrial laborers who exercise or work in hot environments.”
From A Critical Review of Consumer Wearables, Mobile Applications, and Equipment for Providing Biofeedback, Monitoring Stress, and Sleep in Physically Active Populations (2018) · cites this paper as Gao et al., 2016
Cites
Kim, D.-H., Lu, N., Ma, R., Kim, Y.-S., Kim, R.-H., Wang, S., Wu, J., Won, S. M., Tao, H., Islam, A., et al. (2011) · Science · doi:10.1126/science.1206157 · Cited by 4,836 · cited 1× · see citing works
“Cloud servers Transimpedance amplifier (1) Transimpedance amplifier (3)”
BackgroundSkin-like pressure and strain sensors based on transparent elastic films of carbon nanotubes
Lipomi, D. J., Vosgueritchian, M., Tee, B. C.-K., Hellstrom, S. L., Lee, J. A., Fox, C. H., & Bao, Z. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2011.184 · Cited by 3,188 · see citing works
An ultra-lightweight design for imperceptible plastic electronics
Kaltenbrunner, M., Sekitani, T., Reeder, J., Yokota, T., Kuribara, K., Tokuhara, T., Drack, M., Schwödiauer, R., Graz, I., Bauer-Gogonea, S., et al. (2013) · Nature · doi:10.1038/nature12314 · Cited by 2,485 · cited 2× · see citing works
“Differential amplifier (6) Voltage buffer (8)”
BackgroundA review of wearable sensors and systems with application in rehabilitation
Patel, S., Park, H., Bonato, P., Chan, L., & Rodgers, M. (2012) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-9-21 · Cited by 2,396 · cited 1× · see citing works
“Bluetooth transceiver (11) Iglucose Ilactate Rtemperature Vsodium Vref Vpotassium Ag/AgCl Gluc ose”
BackgroundElectrochemical Biosensors - Sensor Principles and Architectures
Grieshaber, D., MacKenzie, R., Vörös, J., & Reimhult, E. (2008) · Sensors · doi:10.3390/s80314000 · Cited by 2,329 · see citing works
Piezoelectricity of single-atomic-layer MoS2 for energy conversion and piezotronics
Wu, W., Wang, L., Li, Y., Zhang, F., Lin, L., Niu, S., Chenet, D., Zhang, X., Hao, Y., Heinz, T. F., et al. (2014) · Nature · doi:10.1038/nature13792 · Cited by 2,287 · cited 1× · see citing works
“Low-pass filter (2) Low-pass filter (4) Voltage divider”
MethodNanowire active-matrix circuitry for low-voltage macroscale artificial skin
Takei, K., Takahashi, T., Ho, J. C., Ko, H., Gillies, A. G., Leu, P. W., Fearing, R. S., & Javey, A. (2010) · Nature Materials · doi:10.1038/nmat2835 · Cited by 1,274 · cited 1× · see citing works
“Cloud servers Transimpedance amplifier (1) Transimpedance amplifier (3)”
BackgroundSelf-citationNon-invasive wearable electrochemical sensors: a review
Bandodkar, A. J., & Wang, J. (2014) · Trends in Biotechnology · doi:10.1016/j.tibtech.2014.04.005 · Cited by 1,247 · see citing works
Ultrathin conformal devices for precise and continuous thermal characterization of human skin
Webb, R. C., Bonifas, A. P., Behnaz, A., Zhang, Y., Yu, K. J., Cheng, H., Shi, M., Bian, Z., Liu, Z., Kim, Y.-S., et al. (2013) · Nature Materials · doi:10.1038/nmat3755 · Cited by 1,229 · cited 1× · see citing works
“…dehydration 20 ; sweat glucose is reported to be metabolically related to blood glucose 21 ; sweat lactate can potentially serve as a sensitive marker of pressure ischaemia 22 ; and skin temperature is clinically informative of a variety of diseases and skin injuries such as pressure ulcers 23,24 .”
BackgroundSoft Microfluidic Assemblies of Sensors, Circuits, and Radios for the Skin
Xu, S., Zhang, Y., Jia, L., Mathewson, K. E., Jang, K.-I., Kim, J., Fu, H., Huang, X., Chava, P., Wang, R., et al. (2014) · Science · doi:10.1126/science.1250169 · Cited by 1,199 · cited 1× · see citing works
“Low-pass filter (7) Low-pass filter (9)”
User-interactive electronic skin for instantaneous pressure visualization
Wang, C., Hwang, D., Yu, Z., Takei, K., Park, J., Chen, T., Ma, B., & Javey, A. (2013) · Nature Materials · doi:10.1038/nmat3711 · Cited by 1,182 · cited 1× · see citing works
“Differential amplifier (6) Voltage buffer (8)”
Self-citationElastomeric polymer light-emitting devices and displays
Liang, J., Li, L., Niu, X., Yu, Z., & Pei, Q. (2013) · Nature Photonics · doi:10.1038/nphoton.2013.242 · Cited by 973 · cited 1× · see citing works
“Low-pass filter (7) Low-pass filter (9)”
Highly ordered nanowire arrays on plastic substrates for ultrasensitive flexible chemical sensors
McAlpine, M. C., Ahmad, H., Wang, D., & Heath, J. R. (2007) · Nature Materials · doi:10.1038/nmat1891 · Cited by 959 · see citing works
Electrochemical Tattoo Biosensors for Real-Time Noninvasive Lactate Monitoring in Human Perspiration
Jia, W., Bandodkar, A. J., Valdés-Ramírez, G., Windmiller, J. R., Yang, Z., Ramírez, J., Chan, G., & Wang, J. (2013) · Analytical Chemistry · doi:10.1021/ac401573r · Cited by 862 · see citing works
Flexible and Stretchable Electronics for Biointegrated Devices
Kim, D.-H., Ghaffari, R., Lu, N., & Rogers, J. A. (2012) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-071811-150018 · Cited by 749 · see citing works
Sonner, Z., Wilder, E., Heikenfeld, J., Kasting, G., Beyette, F., Swaile, D., Sherman, F., Joyce, J., Hagen, J., Kelley-Loughnane, N., et al. (2015) · Biomicrofluidics · doi:10.1063/1.4921039 · Cited by 724 · see citing works
Tattoo-Based Noninvasive Glucose Monitoring: A Proof-of-Concept Study
Bandodkar, A. J., Jia, W., Yardımcı, C., Wang, X., Ramirez, J., & Wang, J. (2015) · Analytical Chemistry · doi:10.1021/ac504300n · Cited by 700 · cited 1× · see citing works
“The two-electrode system is a common strategy for low-current electrochemical sensing 34,35 .”
BackgroundBobacka, J. (1999) · Analytical Chemistry · doi:10.1021/ac990497z · Cited by 686 · cited 7× · see citing works
“The common reference electrode for the Na + and K + ISEs was modified by casting 10 µ l of reference solution onto the Ag/AgCl electrode.”
BackgroundMethodInfluentialImportance of skin temperature in the regulation of sweating.
Nadel, E. R., Bullard, R. W., & Stolwijk, J. A. (1971) · Journal of Applied Physiology · doi:10.1152/jappl.1971.31.1.80 · Cited by 545 · cited 1× · see citing works
“The dip in temperature at this point indicates the beginning of perspiration and evap-orative cooling 27 .”
BackgroundBandodkar, A. J., Molinnus, D., Mirza, O., Guinovart, T., Windmiller, J. R., Valdés-Ramírez, G., Andrade, F. J., Schöning, M. J., & Wang, J. (2014) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2013.11.039 · Cited by 490 · cited 1× · see citing works
“100 mg of the membrane cocktail was dissolved in 660 µ l of tetrahydrofuran 17 .”
MethodVariations in Regional Sweat Composition in Normal Human Males
Patterson, M. J., Galloway, S. D. R., & Nimmo, M. A. (2000) · Experimental Physiology · doi:10.1111/j.1469-445x.2000.02058.x · Cited by 438 · cited 3× · see citing works
“Sweat [Na + ] increases and [K + ] decreases in the beginning of perspiration, in line with the previous ex situ studies from the collected sweat samples 28,29 .”
BackgroundResultInfluentialAdhesive RFID Sensor Patch for Monitoring of Sweat Electrolytes
Rose, D. P., Ratterman, M. E., Griffin, D. K., Hou, L., Kelley-Loughnane, N., Naik, R. R., Hagen, J. A., Papautsky, I., & Heikenfeld, J. C. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2369991 · Cited by 416 · see citing works
BIOTEX—Biosensing Textiles for Personalised Healthcare Management
Coyle, S., Lau, K.-T., Moyna, N., O'Gorman, D., Diamond, D., Di Francesco, F., Costanzo, D., Salvo, P., Trivella, M. G., De Rossi, D. E., et al. (2010) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2009.2038484 · Cited by 330 · see citing works
A wearable electrochemical sensor for the real-time measurement of sweat sodium concentration
Schazmann, B., Morris, D., Slater, C., Beirne, S., Fay, C., Reuveny, R., Moyna, N., & Diamond, D. (2010) · Analytical Methods · doi:10.1039/b9ay00184k · Cited by 286 · cited 1× · see citing works
“have been used to measure analytes of interest (Supplementary Table 1) 14–18 .”
MethodLactate in human sweat: a critical review of research to the present day
Derbyshire, P. J., Barr, H., Davis, F., & Higson, S. P. J. (2012) · The Journal of Physiological Sciences · doi:10.1007/s12576-012-0213-z · Cited by 280 · see citing works
A flexible and wearable glucose sensor based on functional polymers with Soft-MEMS techniques
Kudo, H., Sawada, T., Kazawa, E., Yoshida, H., Iwasaki, Y., & Mitsubayashi, K. (2006) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2006.05.006 · Cited by 255 · see citing works
Acute effects of dehydration on sweat composition in men during prolonged exercise in the heat
Morgan, R. M., Patterson, M. J., & Nimmo, M. A. (2004) · Acta Physiologica Scandinavica · doi:10.1111/j.1365-201x.2004.01305.x · Cited by 192 · see citing works
Lactate kinetics at the lactate threshold in trained and untrained men
Messonnier, L. A., Emhoff, C.-A. W., Fattor, J. A., Horning, M. A., Carlson, T. J., & Brooks, G. A. (2013) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00043.2013 · Cited by 169 · cited 1× · see citing works
“No apparent difference is observed for glucose concentration at different power output settings, a finding consistent with the response of blood glucose to graded, short-term exercise 30 .”
ResultSelf-citationGuinovart, T., Crespo, G. A., Rius, F. X., & Andrade, F. J. (2014) · Analytica Chimica Acta · doi:10.1016/j.aca.2014.02.028 · Cited by 169 · see citing works
Exercise‐associated hyponatremia: A review
Speedy, D. B., Noakes, T. D., & Schneider, C. (2001) · Emergency Medicine · doi:10.1046/j.1442-2026.2001.00173.x · Cited by 137 · cited 1× · see citing works
“For example, excessive loss of sodium and potassium in sweat could result in hyponatremia, hypokalemia, muscle cramps or dehydration 20 ; sweat glucose is reported to be metabolically related to blood glucose 21 ; sweat lactate can potentially serve as a sensitive marker of pressure ischaemia 22 ;…”
BackgroundEffects of Dehydration on Exercise Performance
Barr, S. I. (1999) · Canadian Journal of Applied Physiology · doi:10.1139/h99-014 · Cited by 133 · see citing works
The relationship between exercise intensity and the sweat lactate excretion rate
Buono, M. J., Lee, N. V. L., & Miller, P. W. (2010) · The Journal of Physiological Sciences · doi:10.1007/s12576-009-0073-3 · Cited by 128 · cited 1× · see citing works
“This observation can be attributed to the increase in both lactate excretion rate and sweat rate upon the increase of the workload 31 .”
BackgroundThin-Film Microbiosensors for Glucose−Lactate Monitoring
Jobst, G., Moser, I., Varahram, M., Svasek, P., Aschauer, E., Trajanoski, Z., Wach, P., Kotanko, P., Skrabal, F., & Urban, G. (1996) · Analytical Chemistry · doi:10.1021/ac950630x · Cited by 102 · see citing works
Preparation of all solid-state potentiometric ion sensors with polymer-CNT composites
Zhu, J., Qin, Y., & Zhang, Y. (2009) · Electrochemistry Communications · doi:10.1016/j.elecom.2009.06.025 · Cited by 98 · cited 2× · see citing works
“2 mg F127 and 0.2 mg of multiwall carbon nanotubes were added into the reference solution to minimize the potential drift 25 .”
BackgroundMethodInfluentialA modified anaerobic method of sweat collection
Boysen, T. C., Yanagawa, S., Sato, F., & Sato, K. (1984) · Journal of Applied Physiology · doi:10.1152/jappl.1984.56.5.1302 · Cited by 91 · see citing works
Clinical Skin Temperature Measurement to Predict Incipient Pressure Ulcers
Sprigle, S., Linden, M., McKenna, D., Davis, K., & Riordan, B. (2001) · Advances in Skin & Wound Care · doi:10.1097/00129334-200105000-00010 · Cited by 81 · cited 1× · see citing works
“…dehydration 20 ; sweat glucose is reported to be metabolically related to blood glucose 21 ; sweat lactate can potentially serve as a sensitive marker of pressure ischaemia 22 ; and skin temperature is clinically informative of a variety of diseases and skin injuries such as pressure ulcers 23,24 .”
BackgroundIn vivo life sign application of dielectric spectroscopy and non-invasive glucose monitoring
Talary, M. S., Dewarrat, F., Huber, D., & Caduff, A. (2007) · Journal of Non-Crystalline Solids · doi:10.1016/j.jnoncrysol.2007.03.038 · Cited by 50 · cited 1× · see citing works
“…could result in hyponatremia, hypokalemia, muscle cramps or dehydration 20 ; sweat glucose is reported to be metabolically related to blood glucose 21 ; sweat lactate can potentially serve as a sensitive marker of pressure ischaemia 22 ; and skin temperature is clinically informative of a variety…”
BackgroundComparison of sweat rate during graded exercise and the local rate induced by pilocarpine
Vimieiro-Gomes, A. C., Magalhães, F. C., Amorim, F. T., Machado-Moreira, C. A., Rosa, M. S., Lima, N. R. V., & Rodrigues, L. O. C. (2005) · Brazilian Journal of Medical and Biological Research · doi:10.1590/s0100-879x2005000700017 · Cited by 49 · cited 1× · see citing works
“Assuming a single-centred flow model 13 , the best-case sampling interval can be calculated to be less than 1 min, based on the sweat rate ( ∼ 3–4 mg min − 1 cm − 2 ) 39 and the pad size (1.5 cm × 2 cm × 50 µ m).”
BackgroundInfluentialEffects of water intake on composition of thermal sweat in normal human volunteers
Cage, G. W., Wolfe, S. M., Thompson, R. H., & Gordon, R. S. (1970) · Journal of Applied Physiology · doi:10.1152/jappl.1970.29.5.687 · Cited by 19 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Wearable biosensors for healthcare monitoring
Kim, J., Campbell, A. S., de Ávila, B. E.-F., & Wang, J. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0045-y · Cited by 3,373 · see citing works
Skin electronics from scalable fabrication of an intrinsically stretchable transistor array
Wang, S., Xu, J., Wang, W., Wang, G. N., Rastak, R., Molina‐Lopez, F., Chung, J. W., Niu, S., Feig, V. R., Lopez, J., et al. (2018) · Nature · doi:10.1038/nature25494 · Cited by 2,202 · see citing works
“Then, the CONPHINE semiconductor film was deposited on top by spin-coating of 29-DPP-SVS-(1)/SEBS-H1221 solution (10 mg ml−1 in chlorobenzene, with a weight ratio of 3:7) at 1,000 r.”
MethodLab-on-Skin: A Review of Flexible and Stretchable Electronics for Wearable Health Monitoring
Liu, Y., Pharr, M., & Salvatore, G. A. (2017) · ACS Nano · doi:10.1021/acsnano.7b04898 · Cited by 1,725 · see citing works
“information useful to monitor activity in athletes during sporting events (Figure 9b).(42) The”
BackgroundInfluentialYang, J. C., Mun, J., Kwon, S. Y., Park, S., Bao, Z., & Park, S. (2019) · Advanced Materials · doi:10.1002/adma.201904765 · Cited by 1,641 · see citing works
Bariya, M., Nyein, H. Y. Y., & Javey, A. (2018) · Nature Electronics · doi:10.1038/s41928-018-0043-y · Cited by 1,486 · see citing works
Self-citationWearable sensors: modalities, challenges, and prospects
Heikenfeld, J., Jajack, A., Rogers, J., Gutruf, P., Tian, L., Pan, T., Li, R., Khine, M., Kim, J., Wang, J., et al. (2018) · Lab on a Chip · doi:10.1039/c7lc00914c · Cited by 1,434 · see citing works
Skin-inspired highly stretchable and conformable matrix networks for multifunctional sensing
Hua, Q., Sun, J., Liu, H., Bao, R., Yu, R., Zhai, J., Pan, C., & Wang, Z. L. (2018) · Nature Communications · doi:10.1038/s41467-017-02685-9 · Cited by 1,413 · see citing works
“Mechanosensation electronics is supposed to be the core part of IoA 2,11,14 – 16 , and multi-functionalities are of essential importance in developing smart and interactive fl exible/stretchable electronics 2,15 – 17 .”
BackgroundTechnology Roadmap for Flexible Sensors
Luo, Y., Abidian, M. R., Ahn, J., Akinwande, D., Andrews, A. M., Antonietti, M., Bao, Z., Magnus Berggren, A., Berkey, C. A., Bettinger, C. J., et al. (2023) · ACS Nano · doi:10.1021/acsnano.2c12606 · Cited by 1,419 · see citing works
Self-citationBio-Integrated Wearable Systems: A Comprehensive Review
Ray, T. R., Choi, J., Bandodkar, A. J., Krishnan, S., Gutruf, P., Tian, L., Ghaffari, R., & Rogers, J. A. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00573 · Cited by 1,350 · see citing works
Wearable and flexible electronics for continuous molecular monitoring
Yang, Y., & Gao, W. (2019) · Chemical Society Reviews · doi:10.1039/c7cs00730b · Cited by 1,315 · see citing works
Self-citationA soft, wearable microfluidic device for the capture, storage, and colorimetric sensing of sweat
Koh, A., Kang, D., Xue, Y., Lee, S., Pielak, R. M., Kim, J., Hwang, T., Min, S., Banks, A., Bastien, P., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf2593 · Cited by 1,308 · see citing works
Advanced Carbon for Flexible and Wearable Electronics
Wang, C., Xia, K., Wang, H., Liang, X., Yin, Z., & Zhang, Y. (2018) · Advanced Materials · doi:10.1002/adma.201801072 · Cited by 1,304 · see citing works
Flexible Electronics toward Wearable Sensing
Gao, W. F., Ota, H., Kiriya, D., Takei, K., & Javey, A. (2019) · Accounts of Chemical Research · doi:10.1021/acs.accounts.8b00500 · Cited by 1,280 · see citing works
Self-citationEnd-to-end design of wearable sensors
Ates, H. C., Nguyen, P. Q., Gonzalez-Macia, L., Morales-Narváez, E., Güder, F., Collins, J. J., & Dincer, C. (2022) · Nature Reviews Materials · doi:10.1038/s41578-022-00460-x · Cited by 1,306 · see citing works
A laser-engraved wearable sensor for sensitive detection of uric acid and tyrosine in sweat
Yang, Y., Song, Y., Bo, X., Min, J., Pak, O. S., Zhu, L., Wang, M., Tu, J., Kogan, A., Zhang, H., et al. (2020) · Nature Biotechnology · doi:10.1038/s41587-019-0321-x · Cited by 1,270 · see citing works
Self-citationLee, H., Song, C., Hong, Y. S., Kim, M., Cho, H. R., Kang, T., Shin, K., Choi, S. H., Hyeon, T., & Kim, D.-H. (2017) · Science Advances · doi:10.1126/sciadv.1601314 · Cited by 1,118 · see citing works
Flexible Sensing Electronics for Wearable/Attachable Health Monitoring
Wang, X., Liu, Z., & Zhang, T. (2017) · Small · doi:10.1002/smll.201602790 · Cited by 1,083 · see citing works
Self-powered ultra-flexible electronics via nano-grating-patterned organic photovoltaics
Park, S., Heo, S. W., Lee, W., Inoue, D., Jiang, Z., Yu, K., Jinno, H., Hashizume, D., Sekino, M., Yokota, T., et al. (2018) · Nature · doi:10.1038/s41586-018-0536-x · Cited by 1,068 · see citing works
Reviving Vibration Energy Harvesting and Self-Powered Sensing by a Triboelectric Nanogenerator
Chen, J., & Wang, Z. L. (2017) · Joule · doi:10.1016/j.joule.2017.09.004 · Cited by 1,024 · see citing works
Lim, H., Kim, H. S., Qazi, R., Kwon, Y., Jeong, J., & Yeo, W. (2019) · Advanced Materials · doi:10.1002/adma.201901924 · Cited by 997 · see citing works
Disposable Sensors in Diagnostics, Food, and Environmental Monitoring
Dincer, C., Bruch, R. C., Costa‐Rama, E., Fernández-Abedul, M. T., Merkoçi, A., Manz, A., Urban, G. A., & Güder, F. (2019) · Advanced Materials · doi:10.1002/adma.201806739 · Cited by 972 · see citing works
Son, D., Kang, J., Vardoulis, O., Kim, Y., Matsuhisa, N., Oh, J. Y., To, J. W. F., Mun, J., Katsumata, T., Liu, Y., et al. (2018) · Nature Nanotechnology · doi:10.1038/s41565-018-0244-6 · Cited by 944 · see citing works
Smart Textiles for Electricity Generation
Chen, G., Li, Y., Bick, M., & Chen, J. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00821 · Cited by 933 · see citing works
Monitoring of the central blood pressure waveform via a conformal ultrasonic device
Wang, C., Li, X., Hu, H., Zhang, L., Huang, Z., Lin, M., Zhang, Z., Yin, Z., Huang, B., Gong, H., et al. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0287-x · Cited by 895 · see citing works
A New Frontier of Printed Electronics: Flexible Hybrid Electronics
Khan, Y., Thielens, A., Muin, S., Ting, J., Baumbauer, C., & Arias, A. C. (2019) · Advanced Materials · doi:10.1002/adma.201905279 · Cited by 896 · see citing works
A wearable electrochemical biosensor for the monitoring of metabolites and nutrients
Wang, M., Yang, Y., Min, J., Song, Y., Tu, J., Mukasa, D., Ye, C., Xu, C., Heflin, N., McCune, J. S., et al. (2022) · Nature Biomedical Engineering · doi:10.1038/s41551-022-00916-z · Cited by 920 · see citing works
Self-citationDevice integration of electrochemical biosensors
Wu, J., Liu, H., Chen, W., Ma, B., & Ju, H. (2023) · Nature Reviews Bioengineering · doi:10.1038/s44222-023-00032-w · Cited by 929 · see citing works
Electrochemical glucose sensors in diabetes management: an updated review (2010–2020)
Teymourian, H., Barfidokht, A., & Wang, J. (2020) · Chemical Society Reviews · doi:10.1039/d0cs00304b · Cited by 890 · see citing works
Imani, S., Bandodkar, A. J., Mohan, A. M. V., Kumar, R., Yu, S., Wang, J., & Mercier, P. P. (2016) · Nature Communications · doi:10.1038/ncomms11650 · Cited by 861 · see citing works
Flexible Electronics: Stretchable Electrodes and Their Future
Huang, S., Liu, Y., Zhao, Y., Ren, Z., & Guo, C. F. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201805924 · Cited by 855 · see citing works
Sign-to-speech translation using machine-learning-assisted stretchable sensor arrays
Zhou, Z., Chen, K. J., Li, X., Zhang, S., Wu, Y., Zhou, Y., Meng, K., Sun, C., He, Q., Fan, W., et al. (2020) · Nature Electronics · doi:10.1038/s41928-020-0428-6 · Cited by 854 · see citing works
Self-citationEmaminejad, S., Gao, W., Wu, E., Davies, Z. A., Yin Yin Nyein, H., Challa, S., Ryan, S. P., Fahad, H. M., Chen, K., Shahpar, Z., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1701740114 · Cited by 839 · see citing works
“We recently demonstrated a fully integrated wearable sensing system for real-time monitoring of multiple analytes in human perspiration during physical exercise which allows accurate measurement of sweat analytes through signal processing and calibration (16).”
BackgroundMethodInfluentialSelf-citationBinodal, wireless epidermal electronic systems with in-sensor analytics for neonatal intensive care
Chung, H. U., Kim, B. H., Lee, J. Y., Lee, J., Xie, Z., Ibler, E. M., Lee, K., Banks, A., Jeong, J. Y., Kim, J., et al. (2019) · Science · doi:10.1126/science.aau0780 · Cited by 807 · see citing works
Organic Photodetectors for Next‐Generation Wearable Electronics
Chow, P. C. Y., & Someya, T. (2019) · Advanced Materials · doi:10.1002/adma.201902045 · Cited by 773 · see citing works
Glucose Sensing for Diabetes Monitoring: Recent Developments
Bruen, D., Delaney, C., Florea, L., & Diamond, D. (2017) · Sensors · doi:10.3390/s17081866 · Cited by 778 · see citing works
“sodium, potassium, lactate and glucose concentrations in sweat [81].”
BackgroundInfluentialElectrically-Transduced Chemical Sensors Based on Two-Dimensional Nanomaterials
Meng, Z., Stolz, R. M., Mendecki, L., & Mirica, K. A. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00311 · Cited by 778 · see citing works
Enzyme‐Based Glucose Sensor: From Invasive to Wearable Device
Lee, H., Hong, Y. J., Baik, S., Hyeon, T., & Kim, D. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201701150 · Cited by 778 · see citing works
An Overview of the Development of Flexible Sensors
Han, S., Peng, H., Sun, Q., Venkatesh, S., Chung, K. S., Lau, S. C., Zhou, Y., & Roy, V. A. L. (2017) · Advanced Materials · doi:10.1002/adma.201700375 · Cited by 775 · see citing works
Wearable Chemical Sensors: Present Challenges and Future Prospects
Bandodkar, A. J., Jeerapan, I., & Wang, J. (2016) · ACS Sensors · doi:10.1021/acssensors.6b00250 · Cited by 778 · see citing works
Wearable Sensors‐Enabled Human–Machine Interaction Systems: From Design to Application
Yin, R., Wang, D., Zhao, S., Lou, Z., & Shen, G. (2020) · Advanced Functional Materials · doi:10.1002/adfm.202008936 · Cited by 779 · see citing works
Wearable and flexible electrochemical sensors for sweat analysis: a review
Gao, F., Liu, C., Zhang, L., Liu, T., Wang, Z., Song, Z., Cai, H., Fang, Z., Chen, J., Wang, J., et al. (2022) · Microsystems & Nanoengineering · doi:10.1038/s41378-022-00443-6 · Cited by 812 · see citing works
Bandodkar, A. J., Gutruf, P., Choi, J., Lee, K., Sekine, Y., Reeder, J. T., Jeang, W. J., Aranyosi, A. J., Lee, S. P., Model, J. B., et al. (2019) · Science Advances · doi:10.1126/sciadv.aav3294 · Cited by 761 · see citing works
Recent advances in wearable tactile sensors: Materials, sensing mechanisms, and device performance
Yang, T., Xie, D., Li, Z., & Zhu, H. (2017) · Materials Science and Engineering R Reports · doi:10.1016/j.mser.2017.02.001 · Cited by 755 · see citing works
Physiology of sweat gland function: The roles of sweating and sweat composition in human health
Baker, L. B. (2019) · Temperature · doi:10.1080/23328940.2019.1632145 · Cited by 732 · see citing works
Skin-Interfaced Wearable Sweat Sensors for Precision Medicine
Min, J., Tu, J., Xu, C., Lukas, H., Shin, S., Yang, Y., Solomon, S. A., Mukasa, D., & Gao, W. F. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.2c00823 · Cited by 728 · see citing works
Self-citationHaghi, M., Thurow, K., & Stoll, R. (2017) · Healthcare Informatics Research · doi:10.4258/hir.2017.23.1.4 · Cited by 712 · see citing works
“The most relevant definition of wearable electronics is the following: “devices that can be worn or mated with human skin to continuously and closely monitor an individual’s activities, without interrupting or limiting the user’s motions” [2].”
BackgroundInfluentialSelf‐Powered Real‐Time Arterial Pulse Monitoring Using Ultrathin Epidermal Piezoelectric Sensors
Park, D. Y., Joe, D. J., Kim, D. H., Park, H., Han, J. H., Jeong, C. K., Park, H., Park, J. G., Joung, B., & Lee, K. J. (2017) · Advanced Materials · doi:10.1002/adma.201702308 · Cited by 695 · see citing works
Electronic Textiles for Wearable Point-of-Care Systems
Chen, G., Xiao, X., Zhao, X., Tat, T., Bick, M., & Chen, J. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00502 · Cited by 704 · see citing works
Hybrid 3D Printing of Soft Electronics
Valentine, A. D., Busbee, T. A., Boley, J. W., Raney, J. R., Chortos, A., Kotikian, A., Berrigan, J. D., Durstock, M. F., & Lewis, J. A. (2017) · Advanced Materials · doi:10.1002/adma.201703817 · Cited by 696 · see citing works
A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition
Moin, A., Zhou, A., Rahimi, A., Menon, A., Benatti, S., Alexandrov, G., Tamakloe, S., Ting, J., Yamamoto, N. A. D., Khan, Y., et al. (2020) · Nature Electronics · doi:10.1038/s41928-020-00510-8 · Cited by 685 · see citing works
Wearable and Stretchable Strain Sensors: Materials, Sensing Mechanisms, and Applications
Souri, H., Banerjee, H., Jusufi, A., Radacsi, N., Stokes, A. A., Park, I., Sitti, M., & Amjadi, M. (2020) · Advanced Intelligent Systems · doi:10.1002/aisy.202000039 · Cited by 691 · see citing works
Hydrogel interfaces for merging humans and machines
Yuk, H., Wu, J., & Zhao, X. (2022) · Nature Reviews Materials · doi:10.1038/s41578-022-00483-4 · Cited by 683 · see citing works
Soft, smart contact lenses with integrations of wireless circuits, glucose sensors, and displays
Park, J., Kim, J., Kim, S.-Y., Cheong, W. H., Jang, J., Park, Y.-G., Na, K., Kim, Y.-T., Heo, J. H., Lee, C. Y., et al. (2018) · Science Advances · doi:10.1126/sciadv.aap9841 · Cited by 671 · see citing works
Nyein, H. Y. Y., Gao, W., Shahpar, Z., Emaminejad, S., Challa, S., Chen, K., Fahad, H. M., Tai, L.-C., Ota, H., Davis, R. W., et al. (2016) · ACS Nano · doi:10.1021/acsnano.6b04005 · Cited by 669 · see citing works
Self-citationWongkaew, N., Simsek, M., Griesche, C., & Baeumner, A. J. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00172 · Cited by 661 · see citing works
Yu, Y., Nassar, J., Xu, C., Min, J., Yang, Y., Dai, A., Doshi, R., Huang, A., Song, Y., Gehlhar, R., et al. (2020) · Science Robotics · doi:10.1126/scirobotics.aaz7946 · Cited by 655 · see citing works
“Despite high interest, only a limited number of sweat analytes can be accurately monitored by currently reported wearable sensors (12,13, 47).”
BackgroundSelf-citationAn epidermal patch for the simultaneous monitoring of haemodynamic and metabolic biomarkers
Sempionatto, J. R., Lin, M., Yin, L., De la paz, E., Pei, K., Sonsa-ard, T., de Loyola Silva, A. N., Khorshed, A. A., Zhang, F., Tostado, N., et al. (2021) · Nature Biomedical Engineering · doi:10.1038/s41551-021-00685-1 · Cited by 658 · see citing works
Wearables and the Medical Revolution
Dunn, J., Runge, R., & Snyder, M. (2018) · Personalized Medicine · doi:10.2217/pme-2018-0044 · Cited by 654 · see citing works
“The wristband device also measures skin temperature for calibration, and that data is also useful in analyzing health as described earlier [126,156].”
Sustainably powering wearable electronics solely by biomechanical energy
Wang, J., Li, S., Yi, F., Zi, Y., Lin, J., Wang, X., Xu, Y., & Wang, Z. L. (2016) · Nature Communications · doi:10.1038/ncomms12744 · Cited by 648 · see citing works
“To achieve the goal, three principles need to be considered: (1) The TENG in this work should have high output performance; (2) It should be easy for the TENG to harvest biomechanical energy from daily human motions; (3) The self-powered system should be wearable.”
BackgroundWireless battery-free wearable sweat sensor powered by human motion
Song, Y., Min, J., Yu, Y., Wang, H., Yang, Y., Zhang, H., & Gao, W. (2020) · Science Advances · doi:10.1126/sciadv.aay9842 · Cited by 652 · see citing works
Self-citationSelf-healing electronic skins for aquatic environments
Cao, Y., Tan, Y. J., Li, S., Lee, W. W., Guo, H., Cai, Y., Wang, C., & Tee, B. C. K. (2019) · Nature Electronics · doi:10.1038/s41928-019-0206-5 · Cited by 647 · see citing works
Pyo, S., Lee, J. Y., Bae, K., Sim, S., & Kim, J. (2021) · Advanced Materials · doi:10.1002/adma.202005902 · Cited by 637 · see citing works
Toward Flexible Surface‐Enhanced Raman Scattering (SERS) Sensors for Point‐of‐Care Diagnostics
Xu, K., Zhou, R., Takei, K., & Hong, M. (2019) · Advanced Science · doi:10.1002/advs.201900925 · Cited by 634 · see citing works
Functional Fibers and Fabrics for Soft Robotics, Wearables, and Human–Robot Interface
Xiong, J., Chen, J., & Lee, P. S. (2020) · Advanced Materials · doi:10.1002/adma.202002640 · Cited by 640 · see citing works
Pu, X., Guo, H., Chen, J., Wang, X., Xi, Y., Hu, C., & Wang, Z. L. (2017) · Science Advances · doi:10.1126/sciadv.1700694 · Cited by 627 · see citing works
Tehrani, F., Teymourian, H., Wuerstle, B. L., Kavner, J., Patel, R., Furmidge, A., Aghavali, R., Hosseini-Toudeshki, H., Brown, C., Zhang, F., et al. (2022) · Nature Biomedical Engineering · doi:10.1038/s41551-022-00887-1 · Cited by 651 · see citing works
“Absolute relative difference (ARD) and mean absolute relative difference (MARD) for glucose on-body data were respectively calculated using equations (3) and (4):”
BackgroundMethodFlexible Hybrid Electronics for Digital Healthcare
Ma, Y., Zhang, Y., Cai, S., Han, Z., Liu, X., Wang, F., Cao, Y., Wang, Z., Li, H., Chen, Y., et al. (2020) · Advanced Materials · doi:10.1002/adma.201902062 · Cited by 620 · see citing works
Liu, Q., Chen, J., Li, Y., & Shi, G. (2016) · ACS Nano · doi:10.1021/acsnano.6b03813 · Cited by 609 · see citing works
Chen, Z., Wang, Z., Li, X., Lin, Y. C., Luo, N., Long, M., Zhao, N., & Xu, J. (2017) · ACS Nano · doi:10.1021/acsnano.6b08027 · Cited by 607 · see citing works
“2 Wearable and lightweight pressure sensors are essential electronic components in touch displays, electronic skin and wearable health monitors, which require fast response and high sensitivity in the low-pressure regime.(1-9) To achieve these requirements, many technologies based on micro-fabrication processing have…”
BackgroundA wireless body area sensor network based on stretchable passive tags
Niu, S., Matsuhisa, N., Beker, L., Li, J., Wang, S., Wang, J., Jiang, Y., Yan, X., Yun, Y., Burnett, W., et al. (2019) · Nature Electronics · doi:10.1038/s41928-019-0286-2 · Cited by 601 · see citing works
“BodyNETs based on rigid sensors have already been demonstrated, thanks to fabrication compatibility with existing integrated circuit technologies 4,5 .”
Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics
Heng, W., Solomon, S., & Gao, W. (2022) · Advanced Materials · doi:10.1002/adma.202107902 · Cited by 609 · see citing works
Self-citationWearable Thermoelectric Materials and Devices for Self‐Powered Electronic Systems
Jia, Y., Jiang, Q., Sun, H., Liu, P., Hu, D., Pei, Y., Liu, W., Xavier Crispin, A., Fabiano, S., Ma, Y., et al. (2021) · Advanced Materials · doi:10.1002/adma.202102990 · Cited by 607 · see citing works
Multifunctional Skin‐Inspired Flexible Sensor Systems for Wearable Electronics
Xu, K., Lu, Y., & Takei, K. (2019) · Advanced Materials Technologies · doi:10.1002/admt.201800628 · Cited by 602 · see citing works
Wearable chemical sensors for biomarker discovery in the omics era
Sempionatto, J. R., Lasalde-Ramírez, J. A., Mahato, K., Wang, J., & Gao, W. (2022) · Nature Reviews Chemistry · doi:10.1038/s41570-022-00439-w · Cited by 613 · see citing works
Noninvasive Alcohol Monitoring Using a Wearable Tattoo-Based Iontophoretic-Biosensing System
Kim, J., Jeerapan, I., Imani, S., Cho, T. N., Bandodkar, A., Cinti, S., Mercier, P. P., & Wang, J. (2016) · ACS Sensors · doi:10.1021/acssensors.6b00356 · Cited by 599 · see citing works
Bioadhesive ultrasound for long-term continuous imaging of diverse organs
Wang, C., Chen, X., Wang, L., Makihata, M., Liu, H., Zhou, T., & Zhao, X. (2022) · Science · doi:10.1126/science.abo2542 · Cited by 610 · see citing works
“(6) is plotted as the magenta curve in fig.”
BackgroundWearable non-invasive epidermal glucose sensors: A review
Kim, J., Campbell, A. S., & Wang, J. (2017) · Talanta · doi:10.1016/j.talanta.2017.08.077 · Cited by 585 · see citing works
Rao, R., Pint, C. L., Islam, A. E., Weatherup, R. S., Hofmann, S., Meshot, E. R., Wu, F., Zhou, C., Dee, N., Amama, P. B., et al. (2018) · ACS Nano · doi:10.1021/acsnano.8b06511 · Cited by 588 · see citing works
Nanomaterial-Enabled Wearable Sensors for Healthcare
Yao, S., Swetha, P., & Zhu, Y. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201700889 · Cited by 576 · see citing works
Xiong, J., Cui, P., Chen, X., Wang, J., Parida, K., Lin, M., & Lee, P. S. (2018) · Nature Communications · doi:10.1038/s41467-018-06759-0 · Cited by 578 · see citing works
Yetisen, A. K., Martinez‐Hurtado, J. L., Ünal, B., Khademhosseini, A., & Butt, H. (2018) · Advanced Materials · doi:10.1002/adma.201706910 · Cited by 569 · see citing works
Koo, J. H., Kim, D. C., Shim, H. J., Kim, T., & Kim, D. (2018) · Advanced Functional Materials · doi:10.1002/adfm.201801834 · Cited by 559 · see citing works
Scalable production of high-performing woven lithium-ion fibre batteries
He, J., Lu, C., Jiang, H., Han, F., Shi, X., Wu, J., Wang, L., Chen, T., Wang, J., Zhang, Y., et al. (2021) · Nature · doi:10.1038/s41586-021-03772-0 · Cited by 561 · see citing works
Integrated textile sensor patch for real-time and multiplex sweat analysis
He, W., Wang, C., Wang, H., Jian, M., Lu, W., Liang, X., Zhang, X., Yang, F., & Zhang, Y. (2019) · Science Advances · doi:10.1126/sciadv.aax0649 · Cited by 564 · see citing works
Choi, C., Choi, M. K., Liu, S., Kim, M., Park, O. K., Im, C., Kim, J., Qin, X., Lee, G. J., Cho, K. W., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01824-6 · Cited by 547 · see citing works
Flexible Neuromorphic Electronics for Computing, Soft Robotics, and Neuroprosthetics
Park, H., Lee, Y., Kim, N., Seo, D., Go, G., & Lee, T. (2019) · Advanced Materials · doi:10.1002/adma.201903558 · Cited by 541 · see citing works
Wearable sensors for monitoring the physiological and biochemical profile of the athlete
Seshadri, D. R., Li, R. T., Voos, J. E., Rowbottom, J. R., Alfes, C. M., Zorman, C. A., & Drummond, C. K. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0150-9 · Cited by 537 · see citing works
Zhao, Y., Li, Z., Song, S., Yang, K., Liu, H., Yang, Z., Wang, J., Yang, B., & Lin, Q. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201901474 · Cited by 528 · see citing works
Wearable Flexible Sensors: A Review
Nag, A., Mukhopadhyay, S. C., & Kosel, J. (2017) · IEEE Sensors Journal · doi:10.1109/jsen.2017.2705700 · Cited by 529 · see citing works
“Flexible printed circuit boards (FPCBs) were also developed for the in situ perspiration analysis [160].”
BackgroundMethodSimultaneous Monitoring of Sweat and Interstitial Fluid Using a Single Wearable Biosensor Platform
Kim, J., Sempionatto, J. R., Imani, S., Hartel, M. C., Barfidokht, A., Tang, G., Campbell, A. S., Mercier, P. P., & Wang, J. (2018) · Advanced Science · doi:10.1002/advs.201800880 · Cited by 525 · see citing works
Energy Harvesters for Wearable and Stretchable Electronics: From Flexibility to Stretchability
Wu, H., Huang, Y., Xu, F., Duan, Y., & Yin, Z. (2016) · Advanced Materials · doi:10.1002/adma.201602251 · Cited by 519 · see citing works
Flexible thermoelectrics based on ductile semiconductors
Yang, Q., Yang, S., Qiu, P., Peng, L., Wei, T., Zhang, Z., Shi, X., & Chen, L. (2022) · Science · doi:10.1126/science.abq0682 · Cited by 528 · see citing works
Peake, J. M., Kerr, G., & Sullivan, J. P. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.00743 · Cited by 523 · see citing works
“Sweat pads/patches have been developed at academic institutions for measuring skin temperature, pH, electrolytes, glucose, and cortisol (Gao et al., 2016; Koh et al., 2016; Kinnamon et al., 2017).”
BackgroundThe emergence of AI-based wearable sensors for digital health technology: a review
Shajari, S., Kuruvinashetti, K., Komeili, A., & Sundararaj, U. (2023) · Sensors · doi:10.3390/s23239498 · Cited by 535 · see citing works
“Javey group, Gao group and Wang group also focused on electrochemical biosensing of sweat using various wearable sweat patches for sweat rate [30], L-Dopa [138,139], and C-reactive protein [140], cortisol [141,142], ketone [143], glucose [144], and therapeutic drugs [145].”
BackgroundEnabling Technologies for Personalized and Precision Medicine
Ho, D., Quake, S. R., McCabe, E. R. B., Chng, W. J., Chow, E. K., Ding, X., Gelb, B. D., Ginsburg, G. S., Hassenstab, J., Ho, C.-M., et al. (2020) · Trends in Biotechnology · doi:10.1016/j.tibtech.2019.12.021 · Cited by 517 · see citing works
“Such noninvasive, multiplexed monitoring may ultimately identify personalized biomarker signatures [150].”
BackgroundUltra-sensitive and resilient compliant strain gauges for soft machines
Araromi, O. A., Graule, M. A., Dorsey, K. L., Castellanos, S., Foster, J. R., Hsu, W.-H., Passy, A. E., Vlassak, J. J., Weaver, J. C., Walsh, C. J., et al. (2020) · Nature · doi:10.1038/s41586-020-2892-6 · Cited by 513 · see citing works
Flexible Hybrid Sensors for Health Monitoring: Materials and Mechanisms to Render Wearability
Gao, Y., Yu, L., Yeo, J. C., & Lim, C. T. (2019) · Advanced Materials · doi:10.1002/adma.201902133 · Cited by 508 · see citing works
Point-of-Care Diagnostics: Recent Developments in a Connected Age
Nayak, S., Blumenfeld, N. R., Laksanasopin, T., & Sia, S. K. (2016) · Analytical Chemistry · doi:10.1021/acs.analchem.6b04630 · Cited by 513 · see citing works
Multifunctional conductive hydrogel-based flexible wearable sensors
Wang, L., Xu, T., & Zhang, X. (2021) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2020.116130 · Cited by 507 · see citing works
Recent advances in wearable sensors for animal health management
Neethirajan, S. R. (2016) · Sensing and Bio-Sensing Research · doi:10.1016/j.sbsr.2016.11.004 · Cited by 539 · see citing works
- Authors
- Gao, W., Emaminejad, S., Nyein, H. Y. Y., Challa, S., Chen, K., Peck, A., Fahad, H. M., Ota, H., Shiraki, H., Kiriya, D., Lien, D.-H., Brooks, G. A., Davis, R. W., & Javey, A.
- Affiliations
- Lawrence Berkeley National Laboratory (US)
- Stanford Medicine (US)
- University of California, Berkeley (US)
- Corresponding author
- Javey, Ali
- ORCID
- Venue
- Nature
- Published
- 2016-01-27
- Volume
- 529
- Issue
- 7587
- Pages
- 509-514
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4996079
- OpenAlex
- W2266175888
- Semantic Scholar
- 52709f85aaaaea3dbceb33a9666e3cb1dfb932a3
- Cited by
- 5,087
- References
- 39
- Citations by year
- 2026: 462 · 2025: 581 · 2024: 528 · 2023: 543 · 2022: 531 · 2021: 585 · 2020: 538 · 2019: 502 · 2018: 415 · 2017: 282 · 2016: 117 · 2015: 2
- FWCI
- 211.10
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- Funders
- National Science Foundation (DEAC02-05CH11231)
- U.S. Department of Energy (-AC02-05CH11231, 05CH11231, DE AC02 05CH11231, DE-AC02-)
- National Institutes of Health (DE-AC02–05CH11231, HG000205)
- Office of Science (DEAC02–05CH11231, AC02-05CH11231, DE-AC02)
- Japan Society for the Promotion of Science
- National Human Genome Research Institute (P01HG000205)
- Basic Energy Sciences (DE-AC02, DE-AC02-05CH11231., AC02–05CH11231)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrochemical sensors and biosensors
- Keywords
- wearable sensors, sweat analysis, sweat electrolytes, glucose, lactate, sodium, potassium, skin temperature, flexible electronics, silicon integrated circuits, multiplexed biosensing, wireless transmission, real-time physiological monitoring, non-invasive monitoring, wearable biosensors, physical activity monitoring, personalized medicine, drug abuse detection, athletic performance
- MeSH terms
- Adult, Bicycling, Body Water, Calibration, Electrolytes, Female, Glucose, Humans, Male, Monitoring, Physiologic, Running, Skin, Skin Temperature, Sweat, Reproducibility of Results, Lactic Acid, Young Adult, Precision Medicine, Healthy Volunteers
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-09-28.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-09-28.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review