journal article·2020-02-25

ZnO Nanorod Integrated Flexible Carbon Fibers for Sweat Cortisol Detection

Sekar Madhu, Allen Joseph Anthuuvan, Sriramprabha Ramasamy, Pandiaraj Manickam, Shekhar Bhansali, Ponpandian Nagamony, Viswanathan Chinnuswamy

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Abstract

Sensors fabricated on fabrics provide an elevated ease of use for wearable sensors. Such sensors will play a critical role in detecting the elevations in the concentrations of biochemical markers in human sweat. The ability of making such measurements is becoming an important tool for non-invasive and real-time health monitoring. We present a yarn-based flexible and superwettable electrochemical immunosensing strategy for highly selective and sensitive detection of cortisol in sweat. ZnO nanorods (ZnONRs)-coated flexible carbon yarns were prepared by using a hydrothermal method for immobilizing specific anti-cortisol antibodies and used as an immunosensing platform for detecting sweat cortisol levels. The morphology, elemental composition, crystallinity, and specific surface area were analyzed by using analytical techniques such as transmission electron microscopy (TEM), field emission scanning electron microscopy coupled energy-dispersive X-ray analysis (FE-SEM/EDS), X-ray diffraction (XRD), fourier-transform infrared spectroscopy (FT-IR), Raman spectroscopy, and Brunauer–Emmett–Teller (BET) analysis. The ZnONRs integrated carbon yarns showed excellent mechanical stability and superwettable properties. The immunosensor exhibited a wide linear detection range from 1 fg/mL to 1 μg/mL. The detection limits of the immunosensor were calculated to be between 0.45 and 0.098 fg/mL by using CV and DPV techniques, respectively. Additionally, cell viability studies were performed to investigate the biocompatibility and cytotoxicity of this carbon yarn ZnO sensing platform. The immunosensor was applied to measure the cortisol concentration in human sweat samples, and the outcomes were validated by using a chemiluminescent immunoassay system.
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Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Biosensors and Analytical Detection · Analytical Chemistry and Sensors

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

Affiliations

Department of Nanoscience and Technology, Bharathiar University, Coimbatore 641046, Tamil Nadu, India

Electrodics and Electrocatalysis Division, CSIR-Central Electrochemical Research Institute, Karaikudi 630006, Tamil Nadu, India

Bio-MEMS and Microsystems Laboratory, Department of Electrical and Computer Engineering, Florida International University, Miami, Florida 33199, United States

Funding

Science and Engineering Research Board · Department of Science and Technology, Ministry of Science and Technology · Ministry of Human Resource Development · Tamil Nadu State Council for Higher Education · Bharathiar Entrepreneurship Innovation and Career Hub · Bharathiar Cancer Theranostics Research Centre

References (47)

Show source-provided references
1. 10.1016/j.addr.2009.11.01610.1016/j.addr.2009.11.016 ↗
2. 10.1186/s41256-018-0073-z10.1186/s41256-018-0073-z ↗
3. 10.1016/j.bios.2018.09.04110.1016/j.bios.2018.09.041 ↗
4. 10.1038/nature0506410.1038/nature05064 ↗
5. 10.1146/annurev-anchem-062012-09264110.1146/annurev-anchem-062012-092641 ↗
6. 10.1146/annurev.bioeng.10.061807.16052410.1146/annurev.bioeng.10.061807.160524 ↗
7. 10.1039/C7CS00730B10.1039/C7CS00730B ↗
8. 10.1021/ac504300n10.1021/ac504300n ↗
9. 10.1016/j.snb.2015.01.07710.1016/j.snb.2015.01.077 ↗
10. 10.1002/adfm.20080075510.1002/adfm.200800755 ↗
11. 10.1016/j.cej.2018.08.11310.1016/j.cej.2018.08.113 ↗
12. 10.1002/adma.20170301210.1002/adma.201703012 ↗
13. 10.1149/07711.1841ecst10.1149/07711.1841ecst ↗
14. 10.1039/C7TA09301B10.1039/C7TA09301B ↗
15. 10.1039/c4ee00318g10.1039/c4ee00318g ↗
16. 10.1039/C6TB02037B10.1039/C6TB02037B ↗
17. 10.1088/2053-1591/aafa9510.1088/2053-1591/aafa95 ↗
18. 10.1016/j.apsusc.2017.08.16810.1016/j.apsusc.2017.08.168 ↗
19. 10.1016/j.aca.2012.05.04810.1016/j.aca.2012.05.048 ↗
20. 10.1016/j.snb.2015.11.02710.1016/j.snb.2015.11.027 ↗
21. 10.1016/j.bios.2018.10.00410.1016/j.bios.2018.10.004 ↗
22. 10.1016/j.bios.2014.07.02610.1016/j.bios.2014.07.026 ↗
23. 10.2741/e37410.2741/e374 ↗
24. 10.1016/j.spmi.2018.11.00710.1016/j.spmi.2018.11.007 ↗
25. 10.1039/C5AY02928G10.1039/C5AY02928G ↗
26. 10.1039/C6CE02350A10.1039/C6CE02350A ↗
27. 10.1016/j.surfcoat.2018.03.05610.1016/j.surfcoat.2018.03.056 ↗
28. 10.1016/j.sna.2017.11.04610.1016/j.sna.2017.11.046 ↗
29. 10.1002/elan.20160001810.1002/elan.201600018 ↗
30. 10.1038/s41598-018-35199-510.1038/s41598-018-35199-5 ↗
31. 10.1021/acs.analchem.8b0587510.1021/acs.analchem.8b05875 ↗
32. 10.1016/j.tibtech.2014.04.00510.1016/j.tibtech.2014.04.005 ↗
33. 10.1038/s41598-018-37243-w10.1038/s41598-018-37243-w ↗
34. 10.1021/acsami.7b0054610.1021/acsami.7b00546 ↗
35. 10.1021/am401229a10.1021/am401229a ↗
36. 10.4155/fsoa-2017-000610.4155/fsoa-2017-0006 ↗
37. 10.1097/FTD.0b013e31829daa0a10.1097/FTD.0b013e31829daa0a ↗
38. 10.1126/sciadv.150025910.1126/sciadv.1500259 ↗
39. 10.1039/C4TA07220K10.1039/C4TA07220K ↗
40. 10.1016/j.saa.2012.02.03310.1016/j.saa.2012.02.033 ↗
41. 10.1016/j.apsusc.2017.08.16810.1016/j.apsusc.2017.08.168 ↗
42. 10.1103/PhysRevB.75.16520210.1103/PhysRevB.75.165202 ↗
43. 10.1039/c2ce06324g10.1039/c2ce06324g ↗
44. 10.1039/c2ay25029b10.1039/c2ay25029b ↗
45. 10.1016/j.bioelechem.2019.10737310.1016/j.bioelechem.2019.107373 ↗
46. 10.1016/j.bios.2014.06.05310.1016/j.bios.2014.06.053 ↗
47. 10.1016/j.sna.2014.10.01810.1016/j.sna.2014.10.018 ↗