Cited by 5,087Advanced Sensor and Energy Harvesting MaterialsNon-Invasive Vital Sign MonitoringElectrochemical sensors and biosensors

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index; 16 of the 42 sources its claims cite were checked for support.

Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis

Open access

Abstract

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.

Overview

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.

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Integrity signals

Registry

Crossref · 10.1038/nature16521

Cites

39 of 39 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

36 Own result · 18 No basis given · 13 No full text of the sources · 10 Own method · 10 Own interpretation · 8 Partly supported · 2 Supported · 1 Supported so far · 1 Couldn’t confirm · 1 Not checked yet · accuracy not yet measured

Show all 51 claims

  • Probably not a substantial claim. 22
  • It may state two separate claims as one. 30
  • The quote only partly states this claim. 1
49 of 49
  • 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).”
6 of 6

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Citations

Cites

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Metadata

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
Venue
Nature
Published
2016-01-27
Volume
529
Issue
7587
Pages
509-514
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2266175888
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
FWCI
211.10
Type
journal article
Language
en
Open access
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 › Chemistry › Analytical Chemistry › 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

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