Enhancing Glycemic Control via Detection of Insulin Using Electrochemical Impedance Spectroscopy

Aldin Malkoc, David Probst, Chi Lin, Mukund Khanwalker, Connor Beck, Curtiss B. Cook, Jeffrey LaBelle

Research output: Contribution to journalArticle

10 Scopus citations

Abstract

Background: Currently, glycemic management for individuals with diabetes mellitus involves monitoring glucose only, which is insufficient as glucose metabolism involves other biomarkers such as insulin. Monitoring additional biomarkers alongside glucose has been proposed to improve glycemic control. In this work, the development of a rapid and label-free insulin biosensor with high sensitivity and accuracy is presented. The insulin sensor prototype also serves as a prior study for a multimarker sensing platform technology that can further improve glycemic control in the future. Methods: Electrochemical impedance spectroscopy was used to identify an optimal frequency specific to insulin detection on a gold disk electrode with insulin antibody immobilized, which was accomplished by conjugating the primary amines of insulin antibody to the carboxylic bond of the self-assembling monolayer on the gold surface. After blocking with ethanolamine, the insulin physiological concentration gradient was tested. The imaginary impedance was correlated to insulin concentration and the results were compared with standard equivalent circuit analysis and correlation of charge transfer resistance to target concentration. Results: The optimal frequency of insulin is 810.5 Hz, which is characterized by having the highest sensitivity and sufficient specificity. The lower limit of detection was 2.26 - M which is comparable to a standard and better than traditional approaches. Conclusion: An insulin biosensor prototype capable of detecting insulin in physiological range without complex data normalization was developed. This prototype will be the ground works of a multimarker platform sensor technology for future all-in-one glycemic management sensors.

Original languageEnglish (US)
Pages (from-to)930-935
Number of pages6
JournalJournal of diabetes science and technology
Volume11
Issue number5
DOIs
StatePublished - Sep 1 2017

Keywords

  • diabetes mellitus
  • electrochemical impedance spectroscopy
  • imaginary impedance
  • insulin
  • label free
  • point-of-care

ASJC Scopus subject areas

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism
  • Bioengineering
  • Medicine(all)
  • Biomedical Engineering

Fingerprint Dive into the research topics of 'Enhancing Glycemic Control via Detection of Insulin Using Electrochemical Impedance Spectroscopy'. Together they form a unique fingerprint.

  • Cite this