journal article·2025-09-26

Carbon Nitride Nanocomposite-Based Electrochemiluminescence Biosensor Platform for In Vitro Detection of Diabetic Cardiomyopathy Markers

Abhishek Kumar, Narendra Chaulagain, Sonal Fande, Karthik Shankar, Sanket Goel

ACS Applied Nano Materials· Volume 8· Issue 38
Publisher page

Abstract

Diabetic cardiomyopathy (DCM) is a dysregulated metabolic condition linked with diabetes mellitus characterized by hyperglycemia, lactic acidosis, and oxidative stress. Monitoring these altered metabolisms is crucial for developing targeted therapeutic interventions, as they lead to structural and functional impairments in the heart, ultimately causing cardiac dysfunction. This cardiac dysfunction is mimicked using H9c2 rat cardiomyoblast cells, which are widely used as an in vitro model to mimic human cardiomyocytes, the muscle cells responsible for heart contraction and blood circulation. Herein, a water-soluble carboxylic acid-rich g-C 3 N 4 nanoparticle (CNNP)-based electrochemiluminescence (ECL) biosensor is developed for the sensitive detection of glucose, lactate, and H 2 O 2 from H9c2 cells to investigate metabolic dysfunction under hyperglycemic and oxidative stress conditions. The CNNPs were deposited onto fluorine-doped tin oxide (FTO) via electrophoretic deposition (EPD), resulting in a significant improvement in the electrocatalytic activity. This surface modification led to an approximately 2.4-fold increase in ECL signal performance relative to that of the unmodified FTO surface, demonstrating its potential for sensitive detection of various metabolites. The performance of the sensor was examined and validated for detecting H 2 O 2, glucose, and lactate released from H9c2 cells at 8 h intervals over a duration of 72 h. The sensor exhibited a wide dynamic linear range and low detection limits of 0.91 μM, 642 μM, and 135 μM, respectively. Compared to other existing approaches, this method provides improved qualitative and quantitative detection, along with a noninvasive strategy for investigating metabolic dysfunction in cardiomyocytes. The proposed biosensing platform elucidates insights into metabolic dysregulation induced by hyperglycemia and oxidative stress in cardiomyocytes and shows promising potential for therapeutic interventions in diabetes-associated cardiac dysfunction.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Electrochemical sensors and biosensors · Conducting polymers and applications · Supercapacitor Materials and Fabrication

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

MEMS, Microfluidics and Nanoelectronics (MMNE) Lab

Birla Institute of Technology and Science (BITS) Pilani, Hyderabad Campus

Department of Electrical and Electronics Engineering

Department of Electrical and Computer Engineering

University of Alberta

University of Toronto

Department of Pharmacy

Funding

Ministry of Economic Development and Trade, Government of Alberta · Indian Council of Medical Research · Council of Scientific and Industrial Research, India · Natural Sciences and Engineering Research Council of Canada · Alberta Innovates · Mitacs

References (44)

Show source-provided references
1. 10.1186/1475-2840-2-110.1186/1475-2840-2-1 ↗
2. 10.1007/s10741-012-9313-310.1007/s10741-012-9313-3 ↗
3. 10.1253/circj.CJ-13-156410.1253/circj.CJ-13-1564 ↗
4. 10.1007/s00125-014-3171-610.1007/s00125-014-3171-6 ↗
5. 10.4239/wjd.v10.i10.49010.4239/wjd.v10.i10.490 ↗
6. 10.1177/096032711245088510.1177/0960327112450885 ↗
7. 10.1007/s10741-011-9257-z10.1007/s10741-011-9257-z ↗
8. 10.1016/j.snb.2020.12790910.1016/j.snb.2020.127909 ↗
9. 10.1039/D3AY00254C10.1039/D3AY00254C ↗
10. 10.1016/j.bios.2024.11704510.1016/j.bios.2024.117045 ↗
11. 10.1021/acs.analchem.4c0060710.1021/acs.analchem.4c00607 ↗
12. 10.1021/acs.analchem.4c0389010.1021/acs.analchem.4c03890 ↗
13. 10.1016/j.compbiomed.2024.10954610.1016/j.compbiomed.2024.109546 ↗
14. 10.1016/j.bios.2023.11558210.1016/j.bios.2023.115582 ↗
15. 10.1016/j.aca.2025.34439110.1016/j.aca.2025.344391 ↗
16. 10.1109/JSEN.2022.322172810.1109/JSEN.2022.3221728 ↗
17. 10.1021/acs.analchem.9b0150610.1021/acs.analchem.9b01506 ↗
18. 10.1016/j.bios.2024.11607810.1016/j.bios.2024.116078 ↗
19. 10.1016/j.snb.2021.13065810.1016/j.snb.2021.130658 ↗
20. 10.1016/j.biosx.2025.10063310.1016/j.biosx.2025.100633 ↗
21. 10.1016/j.dwt.2024.10038510.1016/j.dwt.2024.100385 ↗
22. 10.1016/j.surfin.2023.10315210.1016/j.surfin.2023.103152 ↗
23. 10.1016/j.trac.2020.11605410.1016/j.trac.2020.116054 ↗
24. 10.1016/j.apsusc.2025.16314210.1016/j.apsusc.2025.163142 ↗
25. 10.1021/jacs.5c0182410.1021/jacs.5c01824 ↗
26. 10.1016/j.snr.2023.10018310.1016/j.snr.2023.100183 ↗
27. 10.1021/acsami.3c0934710.1021/acsami.3c09347 ↗
28. 10.1016/j.molliq.2021.11782010.1016/j.molliq.2021.117820 ↗
29. 10.1088/1361-6528/ad3d6610.1088/1361-6528/ad3d66 ↗
30. 10.1016/j.cej.2022.14106710.1016/j.cej.2022.141067 ↗
31. 10.1016/j.electacta.2025.14642110.1016/j.electacta.2025.146421 ↗
32. 10.1021/acsami.2c0264910.1021/acsami.2c02649 ↗
33. 10.1016/j.snb.2022.13237810.1016/j.snb.2022.132378 ↗
34. 10.1016/j.cej.2023.14552510.1016/j.cej.2023.145525 ↗
35. 10.1016/j.msec.2016.07.00510.1016/j.msec.2016.07.005 ↗
36. 10.1016/j.snb.2022.13189510.1016/j.snb.2022.131895 ↗
37. 10.1039/D5LC00275C10.1039/D5LC00275C ↗
38. 10.1021/acs.langmuir.0c0296610.1021/acs.langmuir.0c02966 ↗
39. 10.1039/C5GC02090E10.1039/C5GC02090E ↗
40. 10.1002/adma.20070223010.1002/adma.200702230 ↗
41. 10.4236/wjnse.2012.2201210.4236/wjnse.2012.22012 ↗
42. 10.1021/acs.analchem.0c0020810.1021/acs.analchem.0c00208 ↗
43. 10.1016/j.microc.2024.11138210.1016/j.microc.2024.111382 ↗
44. 10.1016/j.microc.2024.11179610.1016/j.microc.2024.111796 ↗