journal article·2024-04-12

Cerium Zirconium Oxide-Decorated Reduced Graphene Oxide Nanocomposite for Low Potential Voltammetric Detection of N-Hydroxysuccinimide

Bhuvaneswari Chandran, Shanmugam Ramasamy, Sathish Kumar Ponnaiah, Elangovan Arumugam, Sharmila Chandrasekaran, Sudha Karuppaiah, Arivazhagan Ganesan

ACS Applied Nano Materials· Volume 7· Issue 7
Publisher page

Abstract

The necessity for highly sensitive and precise methodologies for monitoring water quality and safety is imperative. The substantial health risks linked with N -hydroxysuccinimide (NHS) in water samples and its contact with the skin and eyes are noteworthy. Despite the utilization of numerous techniques for NHS analysis, the adoption of a rapid and uncomplicated electrochemical process has been infrequent. This article details the fabrication of an electrochemical NHS detection system using a cerium zirconium oxide (CZO)-doped reduced graphene oxide (rGO) nanocomposite. The CZO/rGO nanocomposite was prepared through a straightforward method involving precipitation and sonication. Structural analysis of the CZO/rGO involved various techniques, including X-ray diffraction (XRD), high-resolution transmission electron microscopy (HR-TEM), Raman spectroscopy, field emission scanning electron microscopy (FE-SEM), elemental mapping, energy dispersive X-ray analysis (EDX), and X-ray photoelectron spectroscopy analysis (XPS). Crucial kinetic parameters, such as the effective surface area, were evaluated for CZO/rGO on the glassy carbon electrode (GCE). Additionally, the CZO/rGO/GCE showcased reduced charge transfer resistance ( R ct = 99 Ω), exceptional electrochemical activity, a high electron transfer rate, and strong selectivity. This electrode demonstrated excellent electrochemical sensing capabilities for NHS, boasting an extremely low detection limit (0.045 μM) and heightened sensitivity of 0.020 μA μM –1 cm –2 . Demonstrating its potential for swiftly detecting NHS in river water, the CZO/rGO/GCE sensor achieved over 97% recovery. This approach is particularly well-suited for creating water pollution sensors in various sensing devices.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Electrochemical sensors and biosensors · Analytical Chemistry and Sensors · Electrochemical Analysis and Applications

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

Affiliations

PG & Research Department of Chemistry, Thiagarajar College, Affiliated to Madurai Kamaraj University, Madurai-21, Madurai 625009, Tamil Nadu, India

Computational Insights and Sustainable Research Laboratory (CISRL), CO2 Research and Green Technologies Centre, Vellore Institute of Technology, Vellore, Tamil Nadu 632014, India

Magnetics Initiative Life Care Research Center, Daegu Gyeongbuk Institute of Science & Technology (DGIST), 333 Techno Jungang-daero, Hyeonpung-myeon, Dalseong-gun, Daegu 711-873, Republic of Korea

PG & Research Department of Physics, Thiagarajar College, affiliated to Madurai Kamaraj University, Madurai-21, Madurai 625009, Tamil Nadu, India

Funding

University Grants Commission · Department of Science and Technology, Ministry of Science and Technology, India

References (60)

Show source-provided references
1. World Health Organization. Guidelines for Drinking-Water Quality; World Health Organization, 2004.
2. 10.1021/acsestengg.1c0044310.1021/acsestengg.1c00443 ↗
3. 10.1016/j.microc.2020.10591210.1016/j.microc.2020.105912 ↗
4. 10.1039/C8AN00281A10.1039/C8AN00281A ↗
5. 10.1063/1.502193002001710.1063/1.5021930020017 ↗
6. 10.1186/1752-153x-6-14210.1186/1752-153x-6-142 ↗
7. 10.1039/C5AY00042D10.1039/C5AY00042D ↗
8. 10.1016/j.foodchem.2023.13787410.1016/j.foodchem.2023.137874 ↗
9. 10.1016/j.molliq.2019.04.08410.1016/j.molliq.2019.04.084 ↗
10. 10.1016/j.microc.2018.11.04010.1016/j.microc.2018.11.040 ↗
11. 10.1016/j.molliq.2020.11318510.1016/j.molliq.2020.113185 ↗
12. 10.1016/j.microc.2023.10925910.1016/j.microc.2023.109259 ↗
13. 10.1016/j.colsurfa.2020.12505010.1016/j.colsurfa.2020.125050 ↗
14. 10.1016/j.matlet.2021.13027410.1016/j.matlet.2021.130274 ↗
15. 10.1016/j.jhazmat.2010.07.03410.1016/j.jhazmat.2010.07.034 ↗
16. 10.1016/j.chemosphere.2021.12953310.1016/j.chemosphere.2021.129533 ↗
17. 10.1039/c2ee22310d10.1039/c2ee22310d ↗
18. 10.1016/j.ijhydene.2021.03.07710.1016/j.ijhydene.2021.03.077 ↗
19. 10.1016/j.microc.2023.10911610.1016/j.microc.2023.109116 ↗
20. 10.1016/j.apcatb.2017.03.01010.1016/j.apcatb.2017.03.010 ↗
21. 10.1016/j.apcatb.2018.07.04410.1016/j.apcatb.2018.07.044 ↗
22. 10.1016/j.est.2023.10938510.1016/j.est.2023.109385 ↗
23. 10.1002/elan.20170012010.1002/elan.201700120 ↗
24. 10.1007/s10008-013-2274-110.1007/s10008-013-2274-1 ↗
25. 10.1007/s10008-015-2893-910.1007/s10008-015-2893-9 ↗
26. 10.3390/coatings1003028210.3390/coatings10030282 ↗
27. 10.1186/s40712-019-0102-910.1186/s40712-019-0102-9 ↗
28. 10.1088/0022-3727/34/14/10210.1088/0022-3727/34/14/102 ↗
29. 10.1007/s10854-016-5214-x10.1007/s10854-016-5214-x ↗
30. 10.1002/chin.20144428910.1002/chin.201444289 ↗
31. 10.1016/j.snb.2018.05.05410.1016/j.snb.2018.05.054 ↗
32. 10.1021/acsomega.8b0212910.1021/acsomega.8b02129 ↗
33. 10.1016/j.ultsonch.2018.02.01610.1016/j.ultsonch.2018.02.016 ↗
34. 10.1016/j.colsurfa.2022.13029910.1016/j.colsurfa.2022.130299 ↗
35. 10.1016/j.jallcom.2017.07.04910.1016/j.jallcom.2017.07.049 ↗
36. 10.1007/s11164-018-3699-z10.1007/s11164-018-3699-z ↗
37. 10.1007/s12678-022-00732-810.1007/s12678-022-00732-8 ↗
38. 10.1007/s10876-019-01696-410.1007/s10876-019-01696-4 ↗
39. 10.1021/jp204288h10.1021/jp204288h ↗
40. 10.3390/catal909076810.3390/catal9090768 ↗
41. 10.1103/physrevb.48.17810.1103/physrevb.48.178 ↗
42. 10.1007/s10853-017-1062-110.1007/s10853-017-1062-1 ↗
43. 10.1016/j.carbon.2019.07.10310.1016/j.carbon.2019.07.103 ↗
44. 10.3390/nano1010194610.3390/nano10101946 ↗
45. 10.1038/s41598-017-11074-710.1038/s41598-017-11074-7 ↗
46. 10.1007/s10854-019-01147-w10.1007/s10854-019-01147-w ↗
47. 10.1007/s11581-020-03797-x10.1007/s11581-020-03797-x ↗
48. 10.1007/s13369-019-04041-z10.1007/s13369-019-04041-z ↗
49. 10.1016/j.jhazmat.2022.12970510.1016/j.jhazmat.2022.129705 ↗
50. 10.3390/bios1301005410.3390/bios13010054 ↗
51. 10.1016/j.measurement.2023.11285310.1016/j.measurement.2023.112853 ↗
52. 10.1016/j.msec.2020.11101010.1016/j.msec.2020.111010 ↗
53. 10.1016/j.microc.2023.10973710.1016/j.microc.2023.109737 ↗
54. 10.1016/j.jiec.2021.10.01510.1016/j.jiec.2021.10.015 ↗
55. 10.1016/j.cej.2022.14052110.1016/j.cej.2022.140521 ↗
56. 10.1016/j.jhazmat.2022.12941510.1016/j.jhazmat.2022.129415 ↗
57. 10.1016/j.electacta.2013.04.15110.1016/j.electacta.2013.04.151 ↗
58. 10.1149/1945-7111/ad0ba910.1149/1945-7111/ad0ba9 ↗
59. 10.1016/j.bioelechem.2023.10858410.1016/j.bioelechem.2023.108584 ↗
60. 10.1007/s12678-023-00857-410.1007/s12678-023-00857-4 ↗