Design of an Insulin Tracer Protein-Based Biosensor for Insulin Determination

Öz

Aim: The regulation of blood glucose levels is controlled by insulin, which is produced by the pancreatic beta system. Inadequate synthesis of beta insulin, results in elevated glucose levels, a condition known as diabetes, which can lead to various chronic health issues. In recent times, the diagnosis of diabetes, particularly type 1, has shifted towards the direct measurement of insulin levels. To facilitate this, an immunosensor was created to enable rapid and sensitive examination of insulin levels, with the goal of improving the quality for life for diabetic patients. Material and Method: For this purpose, an insulin tracer protein based biosensor was designed for the determination of insulin at all solutions. For determination of insulin, electrobiochemical analyses were performed. Optimisation and characterisation studies were performed using differential pulse voltammetry. The performance of bioelectrochemical system was analysed by Receiver Operating Characteristic method. Results: The insulin biosensor cyclic woltammogram was obtained between -0,1 and 0,6 V potantial. At 0,45 V was found as the anodic peak side for determination the insulin. Optimisation and characterisation studies performed at 0,45 V with differential pulse voltammetry. Conclusion: The study successfully identified stable and easy-to-use insulin concentrations, indicating the potential of the newly developed immunosensor for applications in clinical biochemistry laboratories.

Anahtar Kelimeler

• Insulin tracer protein
• Biosensor
• Insulin

Kaynakça

1. Joshi SR, Parikh RM, Das AK. Insulin--history, biochemistry, physiology and pharmacology. J Assoc Physicians India. 2007;55:19-25.
2. Lian K, Feng H, Liu S, et al, Insulin quantification towards early diagnosis of prediabetes/diabetes. Biosens Bioelectron. 2022;203:114029.
3. Servarayan L, Sundaram E, Manna A, Sivasamy VV. Label free optical biosensor for insulin using naturally existing chromene mimic synthesized receptors: a greener approach. Anal Chim Acta. 2023;1239:340692.
4. Lebovitz HE. Insulin: potential negative consequences of early routine use in patients with type 2 diabetes. Diabetes Care. 2011;34:S225-30.
5. Fu Y, Foden JA, Khayter C, et al, High-frequency off-target mutagenesis induced by CRISPR-Cas nucleases in human cells. Nat Biotechnol. 2013;31:822-6.
6. Psoma SD, Kanthou C. Wearable insulin biosensors for diabetes management: advances and challenges. Biosensors (Basel). 2023;13:719.
7. Zhu X, Chen Y, Feng, C, et al. Assembly of self-cleaning electrode surface for the development of refreshable biosensors. Anal Chem. 2017;89:4131-8.
8. Seitz O, Fernandes, PG, Tian R, et al. Control and stability of self-assembled monolayers under biosensing conditions. Journal of Materials Chemistry. 2011;21:4384-92.

9. Kökbaş U, Kayrın L, Tuli A. Biosensors and their Medical Applications. AKTD. 2013;22:499-513.
10. Kartlaşmış K, Kökbaş U, Kayrın L. Electrochemical characterization of cholesterol biosensor formed by polymer film based on o-Phenylenediamine and benzoquinone. IGUSABDER. 2023;347-60.
11. Cutler HB, Madsen S, Masson SW, et al. Dual tracer test to measure tissue-specific insulin action in individual mice identifies in vivo insulin resistance without fasting hyperinsulinemia. Diabetes. 2024;73:359-73.
12. Kirk NS, Chen Q, Wu YG, et al. Activation of the human insulin receptor by non-insulin-related peptides. Nat Commun. 2022;13:5695.
13. İlhan A, Kökbaş U, & Kayrın L. The effect of different acetate buffer concentrations on enzyme activity in electrochemical studies. EJONS International Journal on Mathematic, Engineering and Natural Sciences. 2022;6:293-301.
14. Chadha U, Bhardwaj P, Agarwal R, et al. Recent progress and growth in biosensors technology: a critical review. Journal of Industrial and Engineering Chemistry. 2022;109:21-51.
15. Beitollahi H, Mohammadi SZ, Safaei M, Tajik S. Applications of electrochemical sensors and biosensors based on modified screen-printed electrodes: a review. Analytical Methods. 2020;12:1547-60.
16. Haleem A, Javaid M, Singh RP, et al. Biosensors applications in medical field: a brief review. Sensors International. 2021;2:100100.
17. Cai B, Xia Z, Wang J, et al. Reduced graphene oxide-based field effect transistor biosensors for high-sensitivity mirna21 detection. ACS Applied Nano Materials. 2022;5:12035-44.
18. Cui F, Yue Y, Zhang Y, et al. Advancing biosensors with machine learning. ACS Sens. 2020;5:3346-64.
19. Hu X, Wang T, Li F, Mao, X. Surface modifications of biomaterials in different applied fields. RSC Advances. 2023;13:20495-511.
20. Luong AD, Roy I, Malhotra BD, Luong JH. Analytical and biosensing platforms for insulin: a review. Sensors and Actuators Reports. 2021;3:100028.
21. Bermingham KP, Doran MM, Bolger FB, Lowry JP. Design optimisation and characterisation of an amperometric glutamate oxidase-based composite biosensor for neurotransmitter l-glutamic acid. Anal Chim Acta. 2022;1224:340205.
22. Drozd M, Kobylska E, Żmieńko M, Chudy M. Sensitive and label-free SPR biosensing platforms for high-throughput screening of plasma membrane receptors interactions with insulin-like targets of hypoglycaemic activity. Talanta. 2024;274:125914.
23. Jalalvand AR, Pinto L. A novel triple templates molecularly imprinted biosensor assisted by second-order calibration methods based on generation of second-order hydrodynamic linear sweep voltammetric data for simultaneous biosensing of insulin, proinsulin and C-peptide: application to comparing PARAFAC2 and PARASIAS. Chemometrics and Intelligent Laboratory Systems. 2023;233:104746.
24. Nahm, FS. Receiver operating characteristic curve: overview and practical use for clinicians. Korean J Anesthesiol. 2022;75:25-36.
25. Roumeliotis S, Schurgers J, Tsalikakis DG, et al. ROC curve analysis: a useful statistic multi-tool in the research of nephrology. Int Urol Nephrol. 2024 Mar 26. doi: 10.1007/s11255-024-04022-8. [Epub ahead of print].