Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Jul;17(4):1029-1037.
doi: 10.1177/19322968211071132. Epub 2022 Jan 19.

Development of a Novel Insulin Sensor for Clinical Decision-Making

Affiliations

Development of a Novel Insulin Sensor for Clinical Decision-Making

Eva Vargas et al. J Diabetes Sci Technol. 2023 Jul.

Abstract

Background: Clinical decision support systems that incorporate information from frequent insulin measurements to enhance individualized diabetes management remain an unmet goal. The development of a disposable insulin strip for fast decentralized point-of-care detection replacing the current centralized lab-based methods used in clinical practice would be highly desirable to improve the establishment of individual insulin absorption patterns and algorithm modeling processes.

Methods: We carried out the development and optimization of a novel decentralized disposable insulin electrochemical sensor focusing on obtaining high analytical and operational performance toward achieving a true point-of-care insulin testing device for clinical on-site application.

Results: Our novel insulin immunosensor demonstrated an attractive performance and efficient user-friendly operation by providing high sensitivity capability to detect endogenous and analog insulin with a limit of detection of 30.2 pM (4.3 µiU/mL), rapid time-to-result, stability toward remote site application, and scalable low-cost fabrication with an estimated cost-of-goods for disposable consumables of below $5, capable of near real-time insulin detection in a microliter (≤10 µL) sample droplet of undiluted serum within 30 minutes.

Conclusions: The results obtained in the optimization and characterization of our novel insulin sensor illustrate its suitability for its potential application in remote clinical environments for frequent insulin monitoring. Future work will test the insulin sensor in a clinical research setting to assess its efficacy in individuals with type 1 diabetes.

Keywords: immunosensor; insulin measurement; point-of-care; type 1 diabetes.

PubMed Disclaimer

Conflict of interest statement

The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: J.E.P. is currently an employee and shareholder of Tandem Diabetes Care, Inc. The work presented in the article was performed as part of his academic appointment at Sansum Diabetes Research Institute and is independent of his employment with Tandem Diabetes Care. E.D. reports receiving grants from Juvenile Diabetes Research Foundation, National Institutes of Health, and Helmsley Charitable Trust; personal fees from Roche and Eli Lilly; patents on artificial pancreas technology; and product support from Dexcom, Insulet, Tandem, and Roche. E.D. is currently an employee and shareholder of Eli Lilly and Company. The work presented in this article was performed as part of his academic appointment and is independent of his employment with Eli Lilly and Company. F.J.D. reports equity, licensed IP, and is a member of the Scientific Advisory Board of Mode AGC. L.M.L. reports grant support to her institution from National Institutes of Health, Juvenile Diabetes Research Foundation, Helmsley Charitable Trust, Eli Lilly and Company, Insulet, Dexcom, and Boehringer Ingelheim; she receives consulting fees unrelated to the current report from Johnson & Johnson, Sanofi, NovoNordisk, Roche, Dexcom, Insulet, Boehringer Ingelheim, ConvaTec, Medtronic, Lifescan, Laxmi, and Insulogic. M.-E.P. reports receiving grant support, provided to her institution, from National Institutes of Health, Helmsley Charitable Trust, Chan Zuckerberg Foundation, and Dexcom; patents related to hypoglycemia and pump therapy for hypoglycemia; and advisory board fees from Fractyl (unrelated to the current report). F.T. and H.T. are currently employees of ActioX LLC. The work presented in the article was performed as part of their academic appointment at University of California San Diego. All other authors report no conflict of interest.

Figures

Figure 1.
Figure 1.
Schematic of the novel insulin sensor chip showing the sensor fabrication and electrochemical assay workflow and operation. (a) Images of the chips array and the single sensor comprising two gold-sputtered electrodes, one employed as working electrode (WE) and one as joint reference/counter (RE/CE) electrode. (b) Schematic of the insulin immunosensor and amperometric transduction principle: HRP-tagged sandwich immunoassay and the electrochemical reaction of the H2O2/HRP/TMB redox probe that generates a reduction current. (c) Schematic of the insulin analysis protocol, with direct one-step sandwich-type immunoassay for insulin antibodies/antigen binding in a serum sample droplet and representative chronoamperometric measurement for timely insulin levels tracking. Abbreviations: HRP, horseradish peroxidase; DAb, detector antibody; CAb, capture antibody; TMB, 3,3′,5,5′-tetramethylbenzidine; SAM, self-assembled monolayer.
Figure 2.
Figure 2.
Results of optimization experiments for critical insulin immunosensor preparation and assay parameters in serum. Chip assays were evaluated in triplicate; error bars were estimated as standard deviation of the three replicates. (a) Immunoreagents involved in the developed one-step insulin assay. Chronoamperometric signals obtained from evaluated parameters of a novel insulin assay using human serum (San Diego Blood Bank) as a negative control or blank (labeled “B” and shown with gray bars) and human serum spiked with 1 nM of recombinant human insulin standard (Sigma-Aldrich) as a positive control or signal (labeled “S” and shown with blue bars). Graphs show change in signal-to-blank (S/B) ratio (red lines) with different assay parameters: (b) Number of incubation steps; (c) sample incubation time; (d) HRP-DAb concentration. Abbreviations: HRP, horseradish peroxidase; DAb, detector antibody; CAb, capture antibody.
Figure 3.
Figure 3.
Electrochemical performance and characterization of the developed immunosensor using insulin standards spiked into buffer and serum. (A) Schematic of the homemade sputtered sensor chip for insulin determination along with the immunoreaction and electrochemical transduction processes involved. Chronoamperograms and calibration plots obtained for increasing insulin concentrations in buffer (B) from 0 (a) to 400 pM (i) with 50-pM increments, and in serum (C) from 0 (a) to 1000 pM (e) with 250-pM increments, and (D) from 0 (a) to 400 pM (e) with 100-pM increments. Abbreviations: HRP, horseradish peroxidase; TMB, 3,3′,5,5′-tetramethylbenzidine.
Figure 4.
Figure 4.
Reproducibility and stability of the insulin immunosensor. (a) Image of a disposable insulin strip for decentralized POC testing; reproducibility of the insulin immunoassay for the detection of (b) 200-pM insulin standards spiked in buffer and (c) 100-pM insulin standards spiked in serum, using a six-electrode batch for each matrix; (d) amperometric responses obtained in the measurement of 200-pM insulin standards spiked in buffer on each day of test over a 30-day period after fabrication and storage at 4°C; (e) amperometric responses and resulted calibration slope values (red lines) obtained in the measurement of 0- (black bars), 200- (blue bars), and 400-pM (green bars) insulin standards spiked in buffer on each day of test over a 24-hour period after fabrication and storage at room temperature; (f) amperometric responses and resulted signal-to-blank (S/B) values (red lines) obtained in the measurement of 0- (blank, black bars) and 200-pM (signal, blue bars) insulin standards spiked in buffer on each day of test over a seven-day period after fabrication and ordinary mailing shipping transit. Error bars in (d-f) were estimated as the standard deviation of three replicates. Abbreviations: POC, point-of-care; RT, room temperature
Figure 5.
Figure 5.
Immunosensor response toward insulin analog using insulin standards spiked into buffer and serum. Chip assays were evaluated in triplicate; error bars were estimated as standard deviation of the three replicates. (a) Schematic of the insulin peptide along with fractions of the amino acids sequences corresponding to human insulin and insulin aspart. Chronoamperograms and signal results obtained in the measurement of (b) buffer solutions and (c) serum samples nonspiked (black lines and bars), and spiked with 200 pM of human insulin “HI” (Sigma-Aldrich) (red lines and bars), 200 pM of insulin aspart analog “NI” (Novolog) (blue lines and bars), and 200 pM of both human insulin and insulin aspart (yellow lines and bars).

References

    1. Contreras I, Vehi J.Artificial intelligence for diabetes management and decision support: literature review. J Med Internet Res. 2018;20(5):e10775. - PMC - PubMed
    1. O’Connor P, Sperl-Hillen J.Current status and future directions for electronic point-of-care clinical decision support to improve diabetes management in primary care. Diabetes Technol Ther. 2019;21(2):26-34. - PubMed
    1. Dankwa-Mullan I, Rivo M, Sepulveda M, Park Y, Snowdon J, Rhee K.Transforming diabetes care through artificial intelligence: the future is here. Popul Health Manag. 2019;22(3):229-242. - PMC - PubMed
    1. Shortliffe E, Sepúlveda M.Clinical decision support in the era of artificial intelligence. JAMA. 2018;320(21):2199-2200. - PubMed
    1. Cappon G, Vettoretti M, Sparacino G, Facchinetti A.Continuous glucose monitoring sensors for diabetes management: a review of technologies and applications. Diabetes Metab J. 2019;43(4):383-397. - PMC - PubMed