A paper strip based non-invasive glucose biosensor for salivary analysis
Abstract
In our present study, we developed an optical biosensor for direct determination of salivary glucose by using immobilized glucose oxidase enzyme on filter paper strip (specific activity 1.4 U/strip) and then reacting it with synthetic glucose samples in presence of co-immobilized color pH indicator. The filter paper changed color based on concentration of glucose in reaction media and hence, by scanning this color change (using RGB profiling) through an office scanner and open source image processing software (GIMP) the concentration of glucose in the reaction medium could be deduced. Once the biosensor was standardized, the synthetic glucose sample was replaced with human saliva from donors. The individual's blood glucose level at the time of obtaining saliva was also measured using an Accuchek(™) active glucometer (Roche Inc.). In this preliminary study, a correlation of nearly 0.64 was found between glucose levels in saliva and blood of healthy individuals and in diabetic patients it was nearly in the order of 0.95, thereby validating the importance of salivary analysis. The RGB profiling method obtained a detection range of 9-1350 mg/dL glucose at a response time of 45 s and LOD of 22.2 mg/dL.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Because saliva can be readily collected, it has been used in connection to in vitro diagnostic biosensors on strips or portable device platforms.
“Because saliva can be readily collected123-125, it has been used in connection to in vitro diagnostic biosensors on strips or portable device platforms,126-134.”
From Wearable biosensors for healthcare monitoring (2019) · cites this paper as [126]
Soni et al. demonstrated the correlation between blood and saliva glucose concentrations to be R = 0.64 in healthy subjects, whereas diabetic subjects show a much closer relationship with R = 0.95.
“Soni et al.126 have demonstrated the correlation between blood and saliva glucose concentrations to be R = 0.64 in healthy subjects, whereas diabetic subjects show a much closer relationship with R = 0.95.”
From Wearable biosensors for healthcare monitoring (2019) · cites this paper as [126]
Cites
Danaei, G., Finucane, M. M., Lu, Y., Singh, G. M., Cowan, M. J., Paciorek, C. J., Lin, J. K., Farzadfar, F., Khang, Y.-H., Stevens, G. A., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60679-x · Cited by 3,568 · see citing works
Implanted Electrochemical Glucose Sensors for the Management of Diabetes
Heller, A. (1999) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.1.1.153 · Cited by 215 · see citing works
Trends in Nanomaterial-Based Non-Invasive Diabetes Sensing Technologies
Makaram, P., Owens, D., & Aceros, J. C. (2014) · Diagnostics · doi:10.3390/diagnostics4020027 · Cited by 202 · see citing works
Mixed salivary glucose levels and candidal carriage in patients with diabetes mellitus
Darwazeh, A. M.-G., MacFarlane, T. W., McCuish, A. C., & Lamey, P. ‐. (1991) · Journal of Oral Pathology and Medicine · doi:10.1111/j.1600-0714.1991.tb00928.x · Cited by 160 · see citing works
Kumar, J., Jha, S. K., & D’Souza, S. F. (2005) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2005.10.012 · Cited by 132 · see citing works
Self-citationNoninvasively measuring blood glucose using saliva
Yamaguchi, M., Mitsumori, M., & Kano, Y. (1998) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/51.677170 · Cited by 129 · see citing works
Non-invasive biosensors in clinical analysis
Guilbault, G. G., Palleschi, G., & Lubrano, G. J. (1995) · Biosensors and Bioelectronics · doi:10.1016/0956-5663(95)96856-t · Cited by 102 · see citing works
Correlation of Salivary Glucose Level with Blood Glucose Level in Diabetes Mellitus
Panchbhai, A. S. (2012) · Journal of Oral and Maxillofacial Research · doi:10.5037/jomr.2012.3303 · Cited by 90 · see citing works
Entrapment of live microbial cells in electropolymerized polyaniline and their use as urea biosensor
Jha, S. K., Kanungo, M., Nath, A., & D’Souza, S. F. (2009) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2009.01.024 · Cited by 72 · see citing works
Self-citationRequirements for Calibration in Noninvasive Glucose Monitoring by Raman Spectroscopy
Lipson, J., Bernhardt, J., Block, U. L., Freeman, W. R., Hofmeister, R. T., Hristakeva, M., Lenosky, T. J., McNamara, R., Petrasek, D., Veltkamp, D. J., et al. (2009) · Journal of Diabetes Science and Technology · doi:10.1177/193229680900300203 · Cited by 56 · see citing works
An improved dinitrosalicylic acid method for determining blood and cerebrospinal fluid sugar levels
Mohun, A. F., & Cook, I. J. Y. (1962) · Journal of Clinical Pathology · doi:10.1136/jcp.15.2.169 · Cited by 23 · see citing works
THE PRESENCE OF GLUCOSE IN THE SALIVARY SECRETION AFTER THE ADMINISTRATION OF ADRENALIN
Hebb, C. O., & STAVRAKY, G. W. (1936) · Quarterly journal of experimental physiology · doi:10.1113/expphysiol.1936.sp000709 · Cited by 15 · 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
Flexible 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
Skin-like biosensor system via electrochemical channels for noninvasive blood glucose monitoring
Chen, Y., Lu, S., Zhang, S., Li, Y., Qu, Z., Chen, Y., Lu, B., Wang, X., & Feng, X. (2017) · Science Advances · doi:10.1126/sciadv.1701629 · Cited by 470 · see citing works
Liu, Y., Wang, H., Zhao, W., Zhang, M., Qin, H., & Xie, Y. (2018) · Sensors · doi:10.3390/s18020645 · Cited by 392 · see citing works
Wearable Biosensors: An Alternative and Practical Approach in Healthcare and Disease Monitoring
Sharma, A., Badea, M., Tiwari, S., & Marty, J. (2021) · Molecules · doi:10.3390/molecules26030748 · Cited by 373 · see citing works
Mouthguard biosensor with telemetry system for monitoring of saliva glucose: A novel cavitas sensor
Arakawa, T., Kuroki, Y., Nitta, H., Chouhan, P., Toma, K., Sawada, S.-I., Takeuchi, S., Sekita, T., Akiyoshi, K., Minakuchi, S., et al. (2016) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2015.12.014 · Cited by 356 · see citing works
Current and Emerging Technology for Continuous Glucose Monitoring
Chen, C., Zhao, X.-L., Li, Z.-H., Zhu, Z., Qian, S., & Flewitt, A. J. (2017) · Sensors · doi:10.3390/s17010182 · Cited by 293 · see citing works
Paper based diagnostics for personalized health care: Emerging technologies and commercial aspects
Mahato, K., Srivastava, A., & Chandra, P. (2017) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2017.05.001 · Cited by 283 · see citing works
Niu, X., Li, X., Pan, J., He, Y., Qiu, F., & Yan, Y. (2016) · RSC Advances · doi:10.1039/c6ra12506a · Cited by 274 · see citing works
Wearable hydrogel patch with noninvasive, electrochemical glucose sensor for natural sweat detection
Lin, P.-H., Sheu, S.-C., Chen, C., Huang, S., & Li, B. (2022) · Talanta · doi:10.1016/j.talanta.2021.123187 · Cited by 232 · see citing works
A fully inkjet-printed disposable glucose sensor on paper
Bihar, E., Wustoni, S., Pappa, A., Salama, K. N., Baran, D., & Inal, S. (2018) · npj Flexible Electronics · doi:10.1038/s41528-018-0044-y · Cited by 209 · see citing works
Recent Advances in Intelligent Wearable Medical Devices Integrating Biosensing and Drug Delivery
Tan, M., Xu, Y., Gao, Z., Yuan, T., Liu, Q., Yang, R., Zhang, B., & Peng, L. (2022) · Advanced Materials · doi:10.1002/adma.202108491 · Cited by 187 · see citing works
Keene, S. T., Fogarty, D., Cooke, R., Casadevall, C., Salleo, A., & Parlak, O. (2019) · Advanced Healthcare Materials · doi:10.1002/adhm.201901321 · Cited by 185 · see citing works
Wen, F., He, T., Liu, H., Chen, H., Zhang, T., & Lee, C. (2020) · Nano Energy · doi:10.1016/j.nanoen.2020.105155 · Cited by 160 · see citing works
A Review on Microfluidic Paper-Based Analytical Devices for Glucose Detection
Liu, S., Su, W., & Ding, X. (2016) · Sensors · doi:10.3390/s16122086 · Cited by 149 · see citing works
Kim, D., Moon, J., Lee, W.-C., Yoon, J., Choi, C. S., & Shim, Y. (2016) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2016.12.046 · Cited by 147 · see citing works
Smartphone based non-invasive salivary glucose biosensor
Soni, A., & Jha, S. K. (2017) · Analytica Chimica Acta · doi:10.1016/j.aca.2017.10.003 · Cited by 143 · see citing works
Self-citationNoninvasive Blood Glucose Monitoring Systems Using Near-Infrared Technology—A Review
Hina, A., & Saadeh, W. (2022) · Sensors · doi:10.3390/s22134855 · Cited by 144 · see citing works
Pain-Free Blood Glucose Monitoring Using Wearable Sensors: Recent Advancements and Future Prospects
Siddiqui, S. A., Zhang, Y., Lloret, J., Song, H. H., & Zoran Obradovic, A. (2018) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2018.2822301 · Cited by 135 · see citing works
Salivary biomarkers detection: Analytical and immunological methods overview
Gug, I., Tertiş, M., Hosu, O., & Cristea, C. (2019) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2019.02.020 · Cited by 136 · see citing works
Cai, S., Xu, C., Jiang, D., Yuan, M., Zhang, Q., Li, Z., & Wang, Y. (2021) · Nano Energy · doi:10.1016/j.nanoen.2021.106904 · Cited by 127 · see citing works
Smart biosensors and intelligent devices for salivary biomarker detection
Zheng, X., Zhang, F., Wang, K., Zhang, W., Li, Y., Sun, Y. L., Sun, X., Li, C., Dong, B., Wang, L., et al. (2021) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2021.116281 · Cited by 126 · see citing works
Najim, A. A., Radeef, A. Y., al‐Doori, I., & Jabbar, Z. H. (2024) · Journal of Chemical Technology & Biotechnology · doi:10.1002/jctb.7638 · Cited by 127 · see citing works
Electrochemical biosensors for point-of-care testing
Kim, J., Jeong, J., & Ko, S. H. (2024) · Bio-Design and Manufacturing · doi:10.1007/s42242-024-00301-6 · Cited by 120 · see citing works
Wang, J., Xu, L. H., Lü, Y., Sheng, K., Liu, W., Chen, C., Li, Y., Dong, B., & Song, H. (2016) · Analytical Chemistry · doi:10.1021/acs.analchem.6b03558 · Cited by 116 · see citing works
Wu, M., Zhang, Q. Y., Fang, Y., Deng, C., Zhou, F., Zhang, Y., Wang, X., Tang, Y., & Wang, Y. (2020) · Journal of Colloid and Interface Science · doi:10.1016/j.jcis.2020.10.065 · Cited by 113 · see citing works
Kap, Ö., Kılıç, V., Hardy, J. G., & Horzum, N. (2021) · The Analyst · doi:10.1039/d0an02031a · Cited by 108 · see citing works
Diouf, A., Bouchikhi, B., & Bari, N. E. (2019) · Materials Science and Engineering C · doi:10.1016/j.msec.2019.01.001 · Cited by 106 · see citing works
Smartphone-based optical analysis systems
Nonno, S. D., & Ulber, R. (2021) · The Analyst · doi:10.1039/d1an00025j · Cited by 97 · see citing works
Fully-drawn origami paper analytical device for electrochemical detection of glucose
Li, W., Qian, D., Wang, Q., Li, Y., Bao, N., Gu, H., & Yu, C. (2016) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2016.03.031 · Cited by 97 · see citing works
Recent developments in wearable biosensors for healthcare and biomedical applications
Erdem, A., Ekşin, E., Senturk, H., Yildiz, E., & Maral, M. (2023) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2023.117510 · Cited by 96 · see citing works
Xue, X., Qu, Z., Fu, Y., Yu, B., Xing, L., & Zhang, Y. (2016) · Nano Energy · doi:10.1016/j.nanoen.2016.05.021 · Cited by 92 · see citing works
Moonla, C., Lee, D. H., Rokaya, D., Rasitanon, N., Kathayat, G., Lee, W.-Y., Kim, J., & Jeerapan, I. (2022) · ECS Sensors Plus · doi:10.1149/2754-2726/ac7533 · Cited by 89 · see citing works
Inkjet Printing: A Viable Technology for Biosensor Fabrication
Hussain, A., Abbas, N., & Ali, A. (2022) · Chemosensors · doi:10.3390/chemosensors10030103 · Cited by 91 · see citing works
Paper-based colorimetric sensors for point-of-care testing
Ko, A., & Liao, C. (2023) · Analytical Methods · doi:10.1039/d3ay00943b · Cited by 83 · see citing works
Celikbas, E., Guler, E., & Tımur, S. (2018) · Analytical Chemistry · doi:10.1021/acs.analchem.8b03120 · Cited by 79 · see citing works
Niu, X., Shi, L., Zhao, H., & Lan, M. (2016) · Analytical Methods · doi:10.1039/c5ay03181h · Cited by 80 · see citing works
Yin, S., Yu, Z., Song, N., Guo, Z., Li, W., Ma, J., Wang, X., Liu, J., & Liang, M. (2023) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2023.115822 · Cited by 83 · see citing works
Biomedical Catheters With Integrated Miniature Piezoresistive Pressure Sensors: A Review
Meena, K. V., & Sankar, A. R. (2021) · IEEE Sensors Journal · doi:10.1109/jsen.2021.3057222 · Cited by 77 · see citing works
Recent trends in the development of diagnostic tools for diabetes mellitus using patient saliva
Viswanath, B., Choi, C. S., Lee, K., & Kim, S. (2017) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2017.01.011 · Cited by 75 · see citing works
Cavitas Sensors: Contact Lens Type Sensors & Mouthguard Sensors
Mitsubayashi, K., & Arakawa, T. (2016) · Electroanalysis · doi:10.1002/elan.201600083 · Cited by 71 · see citing works
Micro/nanofiber-based noninvasive devices for health monitoring diagnosis and rehabilitation
Ghosh, R., Pin, K. Y., Reddy, V. S., Jayathilaka, W. A. D. M., Ji, D., Garcia, W. S., Bhargava, S. K., Ramakrishna, S., & Chinnappan, A. (2020) · Applied Physics Reviews · doi:10.1063/5.0010766 · Cited by 69 · see citing works
Theoretical Insight on the Biosensing Applications of 2D Materials
Vaidyanathan, A., Mathew, M., Radhakrishnan, S., Rout, C. S., & Chakraborty, B. (2020) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.0c08539 · Cited by 64 · see citing works
Reusable electrochemical non-enzymatic glucose sensors based on Au-inlaid nanocages
Shen, L., Liang, Z., Chen, Z., Wu, C., Hu, X., Zhang, J., Jiang, Q., & Wang, Y. (2022) · Nano Research · doi:10.1007/s12274-022-4219-4 · Cited by 65 · see citing works
Naked-Eye Detection of Glucose in Saliva with Bienzymatic Paper-Based Sensor
Santana-Jiménez, L. A., Márquez‐Lucero, A., Osuna, V., Estrada-Moreno, I. A., & Dominguez, R. B. (2018) · Sensors · doi:10.3390/s18041071 · Cited by 65 · see citing works
Kalinke, C., Wosgrau, V., de Oliveira, P. R., de Oliveira, G. A., Martins, G., Mangrich, A. S., Bergamini, M. F., & Junior, L. H. M. (2019) · Talanta · doi:10.1016/j.talanta.2019.03.079 · Cited by 65 · see citing works
Hybrid cellulose nanocrystal/magnetite glucose biosensors
Tracey, C., Торлопов, М. А., Martakov, I. S., Vdovichenko, E. A., Жуков, М. В., Krivoshapkin, P. V., Mikhaylov, V. I., & Krivoshapkina, E. F. (2020) · Carbohydrate Polymers · doi:10.1016/j.carbpol.2020.116704 · Cited by 65 · see citing works
Enzyme embedded microfluidic paper-based analytic device (μPAD): a comprehensive review
Nadar, S. S., Patil, P. D., Tiwari, M. S., & Ahirrao, D. J. (2021) · Critical Reviews in Biotechnology · doi:10.1080/07388551.2021.1898327 · Cited by 64 · see citing works
Wearable chem-biosensing devices: from basic research to commercial market
Yang, B., Jiang, X., Fang, X., & Kong, J. (2021) · Lab on a Chip · doi:10.1039/d1lc00438g · Cited by 64 · see citing works
Suryaprabha, T., Choi, C., Wu, Y., Liu, L., & Hwang, B. (2026) · npj Flexible Electronics · doi:10.1038/s41528-026-00560-6 · Cited by 72 · see citing works
Optical glucose biosensor built-in disposable strips and wearable electronic devices
Reda, A., El‐Safty, S. A., Selim, M. M., & Shenashen, M. A. (2021) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2021.113237 · Cited by 59 · see citing works
Jędrzak, A., Kuznowicz, M., Rębiś, T., & Jesionowski, T. (2022) · Bioelectrochemistry · doi:10.1016/j.bioelechem.2022.108071 · Cited by 59 · see citing works
The Evaluation of a Low-Cost Colorimeter for Glucose Detection in Salivary Samples
Dominguez, R. B., Orozco, M., Chávez, G., & Márquez‐Lucero, A. (2017) · Sensors · doi:10.3390/s17112495 · Cited by 54 · see citing works
Editors' Choice—Artificial Intelligence Based Mobile Application for Water Quality Monitoring
Gunda, N. S. K., Gautam, S. H., & Mitra, S. K. (2019) · Journal of The Electrochemical Society · doi:10.1149/2.0081909jes · Cited by 51 · see citing works
Gao, W., Zhou, X., Heinig, N. F., Thomas, J. P., Zhang, L., & Leung, K. T. (2021) · ACS Applied Nano Materials · doi:10.1021/acsanm.1c00381 · Cited by 48 · see citing works
Singh, A. K., & Jha, S. K. (2019) · IEEE Sensors Journal · doi:10.1109/jsen.2019.2920296 · Cited by 50 · see citing works
Self-citationZhang, J., Xiong, Q., & Xu, J. (2024) · Materials Science in Semiconductor Processing · doi:10.1016/j.mssp.2024.108643 · Cited by 48 · see citing works
Azmi, N. E., Rashid, A. H. A., Abdullah, J., Yusof, N. A., & Sidek, H. (2018) · Journal of Luminescence · doi:10.1016/j.jlumin.2018.05.075 · Cited by 48 · see citing works
Gao, Y., Huang, Y., Chen, J., Liu, Y., Xu, Y., & Ning, X. (2021) · Analytical Chemistry · doi:10.1021/acs.analchem.1c01798 · Cited by 47 · see citing works
Xu, T., Jin, W., Wang, Z., Cheng, H., Huang, X., Guo, X., Ying, Y., Wu, Y., Wang, F., Wen, Y., et al. (2018) · Nanomaterials · doi:10.3390/nano8030133 · Cited by 46 · see citing works
Color changing sensors: A multimodal system for integrated screening
Shende, P. K., Prabhakar, B. R., & Patil, A. (2019) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2019.115687 · Cited by 45 · see citing works
Recent Advances in Aptasensor for Cytokine Detection: A Review
Kim, J., Noh, S., Park, J. A., Park, S. C., Park, S. J., Lee, J., Ahn, J., & Lee, T. (2021) · Sensors · doi:10.3390/s21248491 · Cited by 42 · see citing works
A Distance-Based Microfluidic Paper-Based Biosensor for Glucose Measurements in Tear Range
Allameh, S., & Rabbani, M. (2022) · Applied Biochemistry and Biotechnology · doi:10.1007/s12010-022-03817-8 · Cited by 42 · see citing works
Wireless and mobile optical chemical sensors and biosensors
Kassal, P., Horak, E., Sigurnjak, M., Steinberg, M. D., & Steinberg, I. M. (2018) · Reviews in Analytical Chemistry · doi:10.1515/revac-2017-0024 · Cited by 42 · see citing works
Recent advances in wearable electrochemical biosensors towards technological and material aspects
Fakhr, M. H., Carrasco, I. L., Belyaev, D., Kang, J.-H., Shin, Y., Yeo, J., Koh, W., Ham, J., Michaelis, A., Opitz, J. L., et al. (2024) · Biosensors and Bioelectronics X · doi:10.1016/j.biosx.2024.100503 · Cited by 39 · see citing works
Zhang, H., Zhang, H., Luo, J., & Wan, Y. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b05371 · Cited by 39 · see citing works
Zheng, Y., Zhan, Z., Chen, Q., Chen, J., Luo, J., Cai, J., Zhou, Y., Chen, K., & Xie, W. (2024) · Advanced Science · doi:10.1002/advs.202405681 · Cited by 38 · see citing works
Nandwana, V., Huang, W., Li, Y., & Dravid, V. P. (2018) · ACS Applied Nano Materials · doi:10.1021/acsanm.8b00429 · Cited by 38 · see citing works
A new sensitive spectrophotometric method for determination of saliva and blood glucose
Mohammadnejad, P., Asl, S. S., Aminzadeh, S., & Haghbeen, K. (2019) · Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy · doi:10.1016/j.saa.2019.117897 · Cited by 38 · see citing works
Wang, D., Qi, G., Zhou, Y., Li, H., Zhang, Y., Chen, X., Hu, P., & Jin, Y. (2020) · Chemical Communications · doi:10.1039/d0cc01531h · Cited by 36 · see citing works
Riccardi, C. M., Mistri, D., Hart, O., Anuganti, M., Lin, Y., Kasi, R. M., & Kumar, C. V. (2016) · Chemical Communications · doi:10.1039/c6cc00037a · Cited by 34 · see citing works
Nano-functionalized paper-based IoT enabled devices for point-of-care testing: a review
Kishnani, V., Park, S., Nakate, U. T., Mondal, K., & Gupta, A. (2021) · Biomedical Microdevices · doi:10.1007/s10544-021-00588-7 · Cited by 34 · see citing works
Rinaldi, A. L., Rodrı́guez-Castellón, E., Sobral, S., & Carballo, R. (2018) · Journal of Electroanalytical Chemistry · doi:10.1016/j.jelechem.2018.11.008 · Cited by 33 · see citing works
Malik, J., Kim, S., Seo, J. M., Cho, Y. M., & Bien, F. D. (2022) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2022.3207240 · Cited by 33 · see citing works
Chi, Y. J., Ryu, B., Ahn, S., & Koh, W. (2023) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2023.134601 · Cited by 32 · see citing works
Moakhar, R. S., Mirzaei, M., Flynn, S. E., Jalali, M., Sanati, A., & Mahshid, S. (2024) · Microchemical Journal · doi:10.1016/j.microc.2024.110528 · Cited by 32 · see citing works
Sharifi, S., Nazar, M. F., Rakhshanizadeh, F., Sangsefedi, S. A., & Azarpour, A. (2020) · Optical and Quantum Electronics · doi:10.1007/s11082-020-2211-3 · Cited by 32 · see citing works
A review of electrochemical glucose sensing based on transition metal phosphides
Lakshmy, S., Santhosh, S., Kalarikkal, N., Rout, C. S., & Chakraborty, B. (2023) · Journal of Applied Physics · doi:10.1063/5.0111591 · Cited by 32 · see citing works
Nugba, B. E., El‐Moneim, A. A., Mousa, N. O., & Osman, A. (2023) · Carbon letters · doi:10.1007/s42823-023-00489-0 · Cited by 31 · see citing works
Mahato, K., Purohit, B., Kumar, A., & Chandra, P. (2020) · Comprehensive analytical chemistry · doi:10.1016/bs.coac.2020.02.001 · Cited by 31 · see citing works
McCormick, W. J., & McCrudden, D. (2020) · Journal of Electroanalytical Chemistry · doi:10.1016/j.jelechem.2020.113912 · Cited by 30 · see citing works
Haas, J., Catalán, E. V., Piron, P., Karlsson, M., & Mizaikoff, B. (2018) · The Analyst · doi:10.1039/c8an00919h · Cited by 29 · see citing works
Koushki, E., Mohammadabadi, F. M., Baedi, J., & Ghasedi, A. (2020) · Photodiagnosis and Photodynamic Therapy · doi:10.1016/j.pdpdt.2020.101771 · Cited by 28 · see citing works
Noninvasive blood glucose monitor via multi-sensor fusion and its clinical evaluation
Feng, R., Geng, Z., Li, A., Chu, Y., Wu, C., Zhang, N., Guo, X., Zhang, J., Wang, X., & Tang, F. (2021) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2021.129445 · Cited by 27 · see citing works
Wearable Lab on Body: Combining Sensing of Biochemical and Digital Markers in a Wearable Device
Pataranutaporn, P., Jain, A., Johnson, C. M., Shah, P. P., & Maes, P. (2019) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2019.8857479 · Cited by 26 · see citing works
Faura, G., Boix‐Lemonche, G., Holmeide, A. K., Verkauskienė, R., Volke, V., Sokolovska, J., & Petrovski, G. (2022) · Sensors · doi:10.3390/s22030718 · Cited by 26 · see citing works
Development of an amperometric biosensor on a toothbrush for glucose
Liu, Y., Yue, W., & Cui, Y. (2022) · Sensors and Actuators Reports · doi:10.1016/j.snr.2022.100133 · Cited by 26 · see citing works
Apilux, A., Siangproh, W., Insin, N., Chailapakul, O., & Prachayasittikul, V. (2016) · Analytical Methods · doi:10.1039/c6ay02883g · Cited by 25 · see citing works
A review of non-invasive blood glucose monitoring through breath acetone and body surface
Liu, H., Liu, W., Sun, C., Huang, W.-Z., & Cui, X. (2024) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2024.115500 · Cited by 24 · see citing works
Ortiz‐Martínez, M., Flores-DelaToba, R., González‐González, M., & Rito‐Palomares, M. (2021) · Biosensors · doi:10.3390/bios11120482 · Cited by 25 · see citing works
A 186μW Photoplethysmography-Based Noninvasive Glucose Sensing SoC
Hina, A., & Saadeh, W. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3180893 · Cited by 24 · see citing works
Salivary glucose measurement: A holy ground for next generation of non-invasive diabetic monitoring
Ko, A., & Liao, C. (2023) · Hybrid Advances · doi:10.1016/j.hybadv.2023.100052 · Cited by 24 · see citing works
Noninvasive Glucose Sensing In Vivo
Leung, H. M. C., Forlenza, G. P., Prioleau, T., & Zhou, X. (2023) · Sensors · doi:10.3390/s23167057 · Cited by 28 · see citing works
Lin, C., Pratt, B., Honikel, M. M., Jenish, A., Ramesh, B., Alkhan, A., & Belle, J. T. L. (2017) · Journal of Diabetes Science and Technology · doi:10.1177/1932296817712526 · Cited by 24 · see citing works
A Colorimetric Multifunctional Sensing Method for Structural‐Durability‐Health Monitoring Systems
Im, H., Hong, S., Lee, Y., Lee, H., & Kim, S. (2019) · Advanced Materials · doi:10.1002/adma.201807552 · Cited by 24 · see citing works
A Technology Roadmap of Smart Biosensors From Conventional Glucose Monitoring Systems
Shende, P. K., Sahu, P., & Gaud, R. S. (2017) · Therapeutic Delivery · doi:10.4155/tde-2017-0012 · Cited by 23 · see citing works
Kausaite‐Minkstimiene, A., Simanaityte, R., Ramanavičienė, A., Glumbokaitė, L., & Ramanavičius, A. (2017) · Talanta · doi:10.1016/j.talanta.2017.04.047 · Cited by 22 · see citing works
Vasquez, E. S. L., Yetisen, A. K., & Vega, K. C. (2020) · International Symposium on Wearable Computers · doi:10.1145/3410531.3414290 · Cited by 22 · see citing works
Li, P., Peng, Y., Cai, J., Bai, Y., Li, Q., & Pang, H. (2023) · Bioengineering · doi:10.3390/bioengineering10060733 · Cited by 22 · see citing works
Biochemical Assay for Measuring Diabetes Mellitus
Sur, T., Das, A., Bashar, S., Tarafdar, S., Sarkar, B., & Madhu, N. R. (2023) · Springer eBooks · doi:10.1007/978-981-19-0027-3_1 · Cited by 21 · see citing works
- Authors
- Soni, A., & Jha, S. K.
- Affiliations
- Indian Institute of Technology Delhi (IN)
- Corresponding author
- Jha, Sandeep Kumar
- ORCID
- Jha, Sandeep Kumar
- Venue
- Biosensors and Bioelectronics
- Publisher
- Elsevier BV
- Published
- 2015-05
- Volume
- 67
- Pages
- 763-768
- ISSN
- 0956-5663 (ISSN-L)
- OpenAlex
- W2079524492
- Cited by
- 173
- References
- 12
- Citations by year
- 2026: 9 · 2025: 12 · 2024: 15 · 2023: 14 · 2022: 25 · 2021: 21 · 2020: 15 · 2019: 17 · 2018: 15 · 2017: 13 · 2016: 15 · 2015: 2
- FWCI
- 5.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biosensors and Bioelectronics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Indian Institute of Technology Delhi
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Biosensors and Analytical Detection
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrochemical sensors and biosensors
- Physical Sciences › Chemical Engineering › Bioengineering › Analytical Chemistry and Sensors
- Keywords
- salivary glucose, optical biosensors, glucose oxidase immobilization, filter paper strips, image processing, diabetes mellitus, non-invasive glucose monitoring
- MeSH terms
- Blood Glucose, Diabetes Mellitus, Enzymes, Immobilized, Glucose, Glucose Oxidase, Humans, Paper, Saliva, Biosensing Techniques
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
