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Malik S, Parikh H, Shah N, et al. Non-invasive platform to estimate fasting blood glucose levels from salivary electrochemical parameters. Healthc Technol Lett. 2019;6(4):87-91doi: 10.1049/htl.2018.5081.
Malik, S., Parikh, H., Shah, N., Anand, S., & Gupta, S. (2019). Non-invasive platform to estimate fasting blood glucose levels from salivary electrochemical parameters. Healthcare technology letters, 6(4), 87-91. https://doi.org/10.1049/htl.2018.5081
Malik, Sarul, et al. "Non-invasive platform to estimate fasting blood glucose levels from salivary electrochemical parameters." Healthcare technology letters vol. 6,4 (2019): 87-91. doi: https://doi.org/10.1049/htl.2018.5081
Malik S, Parikh H, Shah N, Anand S, Gupta S. Non-invasive platform to estimate fasting blood glucose levels from salivary electrochemical parameters. Healthc Technol Lett. 2019 Jul 09;6(4):87-91. doi: 10.1049/htl.2018.5081. eCollection 2019 Aug. PMID: 31531221; PMCID: PMC6718070.
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Healthc Technol Lett. 2019 Jul 09;6(4):87-91. doi: 10.1049/htl.2018.5081. eCollection 2019 Aug.

Non-invasive platform to estimate fasting blood glucose levels from salivary electrochemical parameters.

Healthcare technology letters

Sarul Malik, Harsh Parikh, Neil Shah, Sneh Anand, Shalini Gupta

Affiliations

  1. Center for Biomedical Engineering, Indian Institute of Technology Delhi, India.
  2. Department of Computer Science, Indian Institute of Technology Delhi, India.
  3. Department of Biomedical Engineering, All India Institute of Medical Science, New Delhi 110016, India.
  4. Department of Chemical Engineering, Indian Institute of Technology Delhi, Hauz Khas 110016, India.

PMID: 31531221 PMCID: PMC6718070 DOI: 10.1049/htl.2018.5081

Abstract

Diabetes is a metabolic disorder that affects more than 400 million people worldwide. Most existing approaches for measuring fasting blood glucose levels (FBGLs) are invasive. This work presents a proof-of-concept study in which saliva is used as a proxy biofluid to estimate FBGL. Saliva collected from 175 volunteers was analysed using portable, handheld sensors to measure its electrochemical properties such as conductivity, redox potential, pH and K

Keywords: Ca2+; FBGL determination process; K+; Na+; blood; calcium; diabetes; diseases; electrochemical properties; electrochemical sensors; fasting blood glucose levels; graphical user interfaces; ionic concentrations; medical computing; metabolic disorder; noninvasive platform; pH measurement; painless FBGL estimation; patient diagnosis; portable sensors; potassium; proxy biofluid; salivary electrochemical parameters; sodium; sugar

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