The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Glucose Sensing for Diabetes Monitoring: Recent Developments
Open accessAbstract
This review highlights recent advances towards non-invasive and continuous glucose monitoring devices, with a particular focus placed on monitoring glucose concentrations in alternative physiological fluids to blood.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis
Gao, W., Emaminejad, S., Nyein, H. Y. Y., Challa, S., Chen, K., Peck, A., Fahad, H. M., Ota, H., Shiraki, H., Kiriya, D., et al. (2016) · Nature · doi:10.1038/nature16521 · Cited by 5,087 · cited 10×
“sodium, potassium, lactate and glucose concentrations in sweat [81].”
BackgroundInfluentialElectrochemical Glucose Biosensors
Wang, J. (2008) · Chemical Reviews · doi:10.1021/cr068123a · Cited by 3,498
Electrochemical Glucose Sensors and Their Applications in Diabetes Management
Heller, A., & Feldman, B. (2008) · Chemical Reviews · doi:10.1021/cr068069y · Cited by 1,707
Non-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
Glucose Biosensors: An Overview of Use in Clinical Practice
Yoo, E.-H., & Lee, S.-Y. (2010) · Sensors · doi:10.3390/s100504558 · Cited by 1,137
Graphene-based wireless bacteria detection on tooth enamel
Mannoor, M. S., Tao, H., Clayton, J. D., Sengupta, A., Kaplan, D. L., Naik, R. R., Verma, N., Omenetto, F. G., & McAlpine, M. C. (2012) · Nature Communications · doi:10.1038/ncomms1767 · Cited by 1,014
Fluorescence-based glucose sensors
Pickup, J. C., Hussain, F., Evans, N. D., Rolinski, O. J., & Birch, D. J. S. (2005) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2004.10.002 · Cited by 616
A contact lens with embedded sensor for monitoring tear glucose level
Yao, H., Shum, A. J., Cowan, M., Lähdesmäki, I., & Parviz, B. A. (2011) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2010.12.042 · Cited by 513
Non-invasive mouthguard biosensor for continuous salivary monitoring of metabolites
Kim, J., Valdés-Ramírez, G., Bandodkar, A. J., Jia, W., Martinez, A. G., Ramírez, J., Mercier, P., & Wang, J. (2014) · The Analyst · doi:10.1039/c3an02359a · Cited by 367
Abellán-Llobregat, A., Jeerapan, I., Bandodkar, A., Vidal, L., Canals, A., Wang, J., & Morallón, E. (2017) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2017.01.058 · Cited by 348
Research works printed but not linked: 89
- American Diabetes Association (2004). Diagnosis and classification of diabetes mellitus. Diabetes Care, 27, 5–10. · DOI · Paper page
- Sabokdast, M., Habibi-Rezaei, M., Moosavi-Movahedi, A.A., Ferdousi, M., Azimzadeh-Irani, E., and Poursasan, N. (2015). Protection by beta-hydroxybutyric acid against insulin glycation, lipid peroxidation and microglial cell apoptosis. DARU J. Pharm. Sci., 23. · DOI
- Coster, 2000, Monitoring blood glucose control in diabetes mellitus: A systematic review, Health Technol. Assess, 4, 1, 10.3310/hta4120 · DOI · Paper page
- Torpy, 2009, Diabetes, J. Am. Med. Assoc., 301, 1620, 10.1001/jama.301.15.1620 · doi:10.1001/jama.301.15.1620
- Bratlie, 2012, Materials for diabetes therapeutics, Adv. Healthc. Mater., 1, 267, 10.1002/adhm.201200037 · DOI
- Nwaneri, 2015, Diabetes mellitus: A complete ancient and modern historical perspective, WebmedCentral Diabetes, 8, WMC004831
- Toghill, 2010, Electrochemical non-enzymatic glucose sensors: A perspective and an evaluation, Int. J. Electrochem. Sci., 5, 1246, 10.1016/S1452-3981(23)15359-4 · DOI · Paper page
- Yadava, 2015, Prospects and limitations of non-invasive blood glucose monitoring using near-infrared spectroscopy, Biomed. Signal Process. Control, 18, 214, 10.1016/j.bspc.2015.01.005 · DOI · Paper page
- Spegazzini, 2014, Spectroscopic approach for dynamic bioanalyte tracking with minimal concentration information, Sci. Rep., 4, 7013, 10.1038/srep07013 · DOI
- Corrie, 2015, Blood, sweat, and tears: Developing clinically relevant protein biosensors for integrated body fluid analysis, Analyst, 140, 4350, 10.1039/C5AN00464K · DOI · Paper page
- Coyle, S., Curto, V.F., Benito-Lopez, F., Florea, L., and Diamond, D. (2014). Wearable bio and chemical sensors. Wearable Sensors, Elsevier Inc. · DOI
- Matzeu, 2015, Advances in wearable chemical sensor design for monitoring biological fluids, Sens. Actuators B Chem., 21, 403, 10.1016/j.snb.2015.01.077 · DOI · Paper page
- Makaram, 2014, Trends in Nanomaterial-Based Non-Invasive Diabetes Sensing Technologies, Diagnostics, 4, 27, 10.3390/diagnostics4020027 · DOI · Paper page
- Badugu, 2004, Ophthalmic glucose monitoring using disposable contact lenses—A review, J. Fluoresc., 14, 617, 10.1023/B:JOFL.0000039349.89929.da · DOI
- Badugu, 2005, Fluorescence sensors for monosaccharides based on the 6-methylquinolinium nucleus and boronic acid moiety: Potential application to ophthalmic diagnostics, Talanta, 65, 762, 10.1016/j.talanta.2004.08.003 · DOI
- Clark, 1962, Electrode systems for continuous monitoring in cardiovascular surgery, Ann. N. Y. Acad. Sci., 102, 29, 10.1111/j.1749-6632.1962.tb13623.x · DOI · Paper page
- Price, 2003, Point-of-care testing in diabetes mellitus, Clin. Chem. Lab. Med., 41, 1213, 10.1515/CCLM.2003.185 · DOI
- Higgins, 1986, Quinoprotein glucose dehydrogenase and its application in an amperometric glucose sensor, Biosensors, 2, 71, 10.1016/0265-928X(86)80011-6 · DOI · Paper page
- Bankar, 2009, Glucose oxidase - an overview, Biotechnol. Adv., 27, 489, 10.1016/j.biotechadv.2009.04.003 · DOI · Paper page
- Guilbault, 1973, An enzyme electrode for the amperometric determination of glucose, Anal. Chim. Acta, 64, 439, 10.1016/S0003-2670(01)82476-4 · DOI · Paper page
- Wang, 2001, Glucose biosensors: 40 Years of advances and challenges, Electroanalysis, 13, 983, 10.1002/1521-4109(200108)13:12<983::AID-ELAN983>3.0.CO;2-# · DOI · Paper page
- Clark, 1956, Monitor and control of blood and tissue oxygen tensions, Trans. Am. Soc. Artif. Intern. Organs, 2, 41
- Hilditch, 1991, Disposable electrochemical biosensors, Analyst, 116, 1217, 10.1039/an9911601217 · DOI
- Matthews, 1987, Pen-sized digital 30-s blood glucose meter, Lancet, 1, 778, 10.1016/S0140-6736(87)92802-9 · DOI · Paper page
- Fang, 2004, Progress in boronic acid-based fluorescent glucose sensors, J. Fluoresc., 14, 481, 10.1023/B:JOFL.0000039336.51399.3b · DOI · Paper page
- Badugu, 2005, Boronic acid fluorescent sensors for monosaccharide signalling based on the 6-methoxyquinolinium heterocyclic nucleus: Progress toward noninvasive and continuous glucose monitoring, Bioorgan. Med. Chem., 13, 113, 10.1016/j.bmc.2004.09.058 · DOI
- Badugu, 2004, Ophthalmic glucose sensing: A novel monosaccharide sensing disposable and colourless contact lens, Analyst, 129, 516, 10.1039/b314463c · DOI
- Badugu, 2004, Noninvasive continuous monitoring of physiological glucose using a monosaccharide-sensing contact lens, Anal. Chem., 76, 610, 10.1021/ac0303721 · DOI
- Badugu, 2003, A glucose sensing contact lens: A non-invasive technique for continuous physiological glucose monitoring, J. Fluoresc., 13, 371, 10.1023/A:1026103804104 · DOI
- Wolfbeis, 1990, Oxygen optrode for use in a fiber-optic glucose biosensor, Anal. Chem., 62, 2377, 10.1021/ac00220a021 · doi:10.1021/ac00220a021
- Larin, 2003, Specificity of noninvasive blood glucose sensing using optical coherence tomography technique: A pilot study, Phys. Med. Biol., 48, 1371, 10.1088/0031-9155/48/10/310 · DOI
- Nathan, 2014, The Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study at 30 years: Overview, Diabetes Care, 37, 9, 10.2337/dc13-2112 · DOI · Paper page
- Badugu, 2006, Wavelength-ratiometric and colorimetric robes for glucose determination, Dyes Pigments, 68, 159, 10.1016/j.dyepig.2004.12.020 · doi:10.1016/j.dyepig.2004.12.020
- Badugu, 2005, A glucose-sensing contact lens: From bench top to patient, Curr. Opin. Biotechnol., 16, 100, 10.1016/j.copbio.2004.12.007 · DOI
- Newman, 2005, Home blood glucose biosensors: A commerical perspective, Biosens. Bioelectron., 20, 2435, 10.1016/j.bios.2004.11.012 · DOI · Paper page
- Nishida, 2009, What is the artificial endocrine pancreas? Mechanism and history, World J. Gastroenterol., 15, 4105, 10.3748/wjg.15.4105 · DOI
- Albisser, 1974, Clinical control of diabetes by the artificial pancreas, Diabetes, 23, 397, 10.2337/diab.23.5.397 · DOI · Paper page
- Worsley, 2007, Continuous blood glucose monitoring with a thin-film optical sensor, Clin. Chem., 53, 1820, 10.1373/clinchem.2007.091629 · DOI
- Koschinsky, 2001, Sensors for glucose monitoring: Technical and clinical aspects, Diabetes Metab. Res. Rev., 17, 113, 10.1002/dmrr.188 · DOI · Paper page
- Lee, 2017, Wearable/disposable sweat-based glucose monitoring device with multistage transdermal drug delivery module, Sci. Adv., 3, e1601314, 10.1126/sciadv.1601314 · DOI · Paper page
- Gupta, 2014, Comparison of salivary and serum glucose levels in diabetic patients, J. Diabetes Sci. Technol., 9, 91, 10.1177/1932296814552673 · DOI
- Baliga, 2013, Salivary pH: A diagnostic biomarker, J. Indian Soc. Periodontol., 17, 461, 10.4103/0972-124X.118317 · DOI · Paper page
- Jiang, C., Sun, M., Wang, Z., Chen, Z., Zhao, X., Yuan, Y., Li, Y., and Wang, C. (2016). A portable real-time ringdown breath acetone analyser: Toward potential diabetic screening and management. Sensors, 16. · DOI
- Hunt, 2007, Exhaled breath condensate pH assays, Immunol. Allergy Clin. N. Am., 27, 597, 10.1016/j.iac.2007.09.006 · DOI
- Vashist, 2012, Non-invasive glucose monitoring technology in diabetes management: A review, Anal. Chim. Acta, 750, 16, 10.1016/j.aca.2012.03.043 · DOI · Paper page
- Jina, 2014, Design, development, and evaluation of a novel microneedle array-based continuous glucose monitor, J. Diabetes Sci. Technol., 8, 483, 10.1177/1932296814526191 · DOI · Paper page
- Zhi, 2013, Multilayer nanoencapsulation: A nanomedicine technology for diabetes research and management, Diabetes Res. Clin. Pract., 100, 162, 10.1016/j.diabres.2012.11.027 · DOI
- Huang, 2009, A MEMS affinity glucose sensor using a biocompatible glucose-responsive polymer, Sens. Actuators B Chem., 140, 603, 10.1016/j.snb.2009.04.065 · doi:10.1016/j.snb.2009.04.065
- Rao, 1995, Reverse iontophoresis: Noninvasive glucose monitoring in vivo in humans, Pharm. Res., 12, 1869, 10.1023/A:1016271301814 · DOI
- Bagavathiappan, 2009, Infrared thermal imaging for detection of peripheral vascular disorders, J. Med. Phys., 34, 43, 10.4103/0971-6203.48720 · DOI · Paper page
- Oberli, 2014, Ultrasound-enhanced transdermal delivery: Recent advances and future challenges, Ther. Deliv., 5, 843, 10.4155/tde.14.32 · DOI
- Hanashi, 2011, BioRadioTransmitter: A self-powered wireless glucose-sensing system, J. Diabetes Sci. Technol., 5, 1030, 10.1177/193229681100500502 · DOI
- Russell, 1999, A fluorescence-based glucose biosensor using concanavalin a and dextran encapsulated in a poly(ethylene glycol) hydrogel, Anal. Chem., 71, 3126, 10.1021/ac990060r · DOI · Paper page
- Henderson, 2015, Near-infrared photonic energy penetration: Can infrared phototherapy effectively reach the human brain?, Neuropsychaiatr. Dis. Treat., 11, 2191, 10.2147/NDT.S78182 · DOI · Paper page
- Zhang, 2015, On-chip highly sensitive saliva glucose sensing using multilayer films composed of single-walled carbon nanotubes, gold nanoparticles, and glucose oxidase, Sens. Bio-Sens. Res., 4, 96, 10.1016/j.sbsr.2015.04.006 · DOI
- Glennon, 2016, SWEATCH: A wearable platform for harvesting and analysing sweat sodium content, Electroanalysis, 28, 1, 10.1002/elan.201600106 · DOI
- Heikenfeld, 2016, Technological leap for sweat sensing, Nature, 529, 475, 10.1038/529475a · DOI
- Heikenfeld, 2014, Let them see you sweat: Your sweat may bring medical diagnostics to fitbits and fuelbands, IEEE Spectr., 51, 46, 10.1109/MSPEC.2014.6934933 · DOI
- Morris, 2009, Bio-sensing textile based patch with integrated optical detection system for sweat monitoring, Sens. Actuators B Chem., 139, 231, 10.1016/j.snb.2009.02.032 · DOI · Paper page
- Bandodkar, 2017, Soft, stretchable, high power density electronic skin-based biofuel cells for scavenging energy from human sweat, Energy Environ. Sci., 10, 1581, 10.1039/C7EE00865A · DOI · Paper page
- Huang, 2014, Stretchable, wireless sensors and functional substrates for epidermal characterization of sweat, Small, 10, 3083, 10.1002/smll.201400483 · DOI · Paper page
- Jang, 2016, Ferromagnetic, folded electrode composite as a soft interface to the skin for long-term electrophysiological recording, Adv. Funct. Mater., 26, 7281, 10.1002/adfm.201603146 · DOI
- Rosenfeld, 2001, Transcallosal resection of hypothalamic hamartomas, with control of seizures, in children with gelastic epilepsy, Neurosurgery, 48, 108
- Cram, 1983, EMG scanning in the diagnosis of chronic pain, Biofeedback Self-Regul., 8, 229, 10.1007/BF00998853 · DOI
- Parkey, 1974, A new method for radionuclide imaging of acute myocardial infarction in humans, Circulation, 50, 540, 10.1161/01.CIR.50.3.540 · DOI · Paper page
- Staman, 1980, The eog and choroidal malignant melanomas, Doc. Ophthalmol., 49, 201, 10.1007/BF01886618 · doi:10.1007/bf01886618
- Fishberg, 1932, Acid-base balance in sweat, J. Biol. Chem., 97, 433, 10.1016/S0021-9258(18)76198-X · DOI
- Hill, 2012, Breath analysis for medical diagnosis, Int. J. Smart Sens. Intell. Syst., 5, 401
- Wilson, 2015, Advances in electronic-nose technologies for the detection of volatile biomarker metabolites in the human breath, Metabolites, 5, 140, 10.3390/metabo5010140 · DOI · Paper page
- Mathew, 2015, Technologies for clinical diagnosis using expired human breath analysis, Diagnostics, 5, 27, 10.3390/diagnostics5010027 · DOI
- Xing, 2015, Preparation and gas sensing properties of In2O3/Au nanorods for detection of volatile organic compounds in exhaled breath, Sci. Rep., 5, 10717, 10.1038/srep10717 · DOI · Paper page
- Yamada, 2016, Measurement of natural carbon isotopic composition of acetone in human urine, Anal. Bioanal. Chem., 408, 1597, 10.1007/s00216-015-9268-z · DOI
- Shafiek, H., Fiorentino, F., Merino, J.L., Lopez, C., Oliver, A., Segura, J., de Paul, I., Sibila, O., Agusti, A., and Cosio, B.G. (2015). Using the electronic nose to identify airway infection during copd exacerbations. PLoS ONE, 10. · DOI
- Pavlou, 2002, Recognition of anaerobic baterical isolates in vitro using electronic nose technology, Lett. Appl. Microbiol., 35, 366, 10.1046/j.1472-765X.2002.01197.x · DOI
- Pavlou, 2004, Detection of mycobaterium tuberculosis (tb) in vitro and in situ using an electronic nose in combination with a neural network system, Biosens. Bioelectron., 20, 538, 10.1016/j.bios.2004.03.002 · doi:10.1016/j.bios.2004.03.002
- Macagnano, 1997, An electronic nose for food analysis, Sens. Actuators B Chem., 44, 521, 10.1016/S0925-4005(97)00175-5 · doi:10.1016/s0925-4005(97)00175-5
- Xu, S., Zhou, Z., Li, K., Jamir, S.M., and Luo, X. (2017). Recognition of the duration and prediction of insect prevalence of stored rough rice infested by the red fluor beetle (tribolium castaneum herbst) using an electronic nose. Sensors (Basel), 17. · doi:10.3390/s17040688
- Bikov, 2014, Expiratory flow rate, breath hold and anatomic dead space influence electronic nose ability to detect lung cancer, BMC Pulm. Med., 14, 202, 10.1186/1471-2466-14-202 · DOI
- Plaza, 2015, Inflammatory asthma phenotype discrimination using an electronic nose breath analyzer, J. Investig. Allergol. Clin. Immunol., 25, 431
- Nakhleh, 2013, A proof of concept for the detection and classification of pulmonary arterial hypertension through breath analysis with a sensor array, Am. J. Respir. Crit. Care Med., 188, 756, 10.1164/rccm.201303-0467LE · DOI
- Liu, 2015, A glucose oxidase-coupled DNAzyme sensor for glucose detection in tears and saliva, Biosens. Bioelectron., 70, 455, 10.1016/j.bios.2015.03.070 · DOI
- Thomas, 2012, A contact lens with an integrated lactate sensor, Sens. Actuators B Chem., 162, 128, 10.1016/j.snb.2011.12.049 · DOI · Paper page
- Watt, 2004, Hydrogen peroxide poisoning, Toxicol. Rev., 23, 51, 10.2165/00139709-200423010-00006 · DOI · Paper page
- Reid, 2015, Contact lens biofuel cells tested in a synthetic tear solution, Biosens. Bioelectron., 68, 142, 10.1016/j.bios.2014.12.034 · DOI
- Iguchi, 2007, A flexible and wearable biosensor for tear glucose measurement, Biomed. Microdevices, 9, 603, 10.1007/s10544-007-9073-3 · DOI · Paper page
- Kagie, 2008, Flexible rolled thick-film miniaturized flow-cell for minimally invasive amperometric sensing, Electroanalysis, 20, 1610, 10.1002/elan.200804253 · DOI
- Badugu, 2006, Wavelength-ratiometric and colorimetric robes for glucose determination, Dyes Pigments, 68, 159, 10.1016/j.dyepig.2004.12.020 · doi:10.1016/j.dyepig.2004.12.020
- Jeong, 2016, 3D cross-point plasmonic nanoarchitectures containing dense and regular hot spots for surface-enhanced ramen spectroscopy analysis, Adv. Mater., 28, 8695, 10.1002/adma.201602603 · DOI · Paper page
- Moser, 2016, Hydrophilic organic electrode on flexible hydrogels, ACS Appl. Mater. Interfaces, 8, 974, 10.1021/acsami.5b10831 · DOI
Cited by
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
Accessing analytes in biofluids for peripheral biochemical monitoring
Heikenfeld, J., Jajack, A., Feldman, B., Granger, S. W., Gaitonde, S., Begtrup, G., & Katchman, B. A. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0040-3 · Cited by 758
From pre-diabetes to diabetes: diagnosis, treatments and translational research
Khan, R., Chua, Z., Tan, J., Yang, Y., Liao, Z., & Zhao, Y. (2019) · Medicina · doi:10.3390/medicina55090546 · Cited by 484
Non-Invasive Blood Glucose Monitoring Technology: A Review
Tang, L., Chang, S. J., Chen, C.-J., & Liu, J.-T. (2020) · Sensors · doi:10.3390/s20236925 · Cited by 481
Khan, S., Ali, S., & Bermak, A. (2019) · Sensors · doi:10.3390/s19051230 · Cited by 253
Metadata
- Authors
- Bruen, D., Delaney, C., Florea, L., & Diamond, D.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2017-08-12
- Volume
- 17
- Issue
- 8
- Pages
- 1866
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2743114258
- Cited by
- 777
- References
- 19
- FWCI
- 29.87
- Type
- journal article
- Language
- en
- Open access
- gold
- Funders
- Science Foundation Ireland (SFI) through the Insight Centre for Data Analytics Initiative (SFI/12/RC/2289)
- Technology Innovation Development Award (16/TIDA/4183)
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.
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Glucose Sensing for Diabetes Monitoring: Recent Developments. https://app.cochat.ai/papers/10.3390/s17081866
- The paper
- Bruen, D., Delaney, C., Florea, L., & Diamond, D. (2017). Glucose Sensing for Diabetes Monitoring: Recent Developments. Sensors. https://doi.org/10.3390/s17081866
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.