journal article·2025-05-27

Ni/Co Stacked Metal–Organic Framework-Based Nanoelectronic Device Integrated with Smartphone for Real-Time Nitrite Sensing

Shubhangi, Rohini Kumari, Arkya Jyoti Ghosh, Supratim Mahapatra, Sanjay Kumar Rai, Pranjal Chandra

ACS Applied Electronic Materials· Volume 7· Issue 10
Publisher page

Abstract

Metal–organic frameworks (MOFs) are 3D materials with advanced characteristics due to their porous nature and the presence of catalytic nodal metal centers. These materials can be of enormous importance as sensor matrix components for wide applications, such as environmental monitoring. In this work, we have attempted the stacking of two MOFs, a NiMOF, followed by CoMOF, which was further functionalized with gold nanoparticles to detect nitrite ions (NO 2 – ) in real/environmental water samples. Nitrite is a naturally occurring plant nutrient present in the soil and is also used as a preservative in industries; however, it can generate carcinogenic precursors at higher concentrations. The catalytic sensing probe was developed to detect NO 2 – through its electrochemical oxidation to NO 3 – at a specific potential. The glassy carbon electrode/nickel MOF/cobalt MOF (GCE/NiMOF/CoMOF) surface was constructed through a facile and faster approach of electrodeposition. The final sensing probe was thoroughly characterized by various physical and electrochemical techniques. It displayed enhanced analytical performance in terms of its wide linear dynamic range between 0.01 to 1000 μM and a limit of detection of 4.2 nM. It exhibited a rapid average response time of about <1.5 s, making it an ultrasensitive sensing platform for NO 2 – in environmental water samples. A systematic integration with a smartphone application has also been proposed for on-site application of the sensor, where a single-fed input value determines the real-time NO 2 – concentration in test water samples.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced biosensing and bioanalysis techniques · Advanced Nanomaterials in Catalysis · Conducting polymers and applications

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

Affiliations

Laboratory of Bio-Physio Sensors and Nanobioengineering, School of Biochemical Engineering

Indian Institute of Technology (BHU) Varanasi

School of Biomedical Engineering

References (59)

Show source-provided references
1. 10.5812/jhealthscope.1416410.5812/jhealthscope.14164 ↗
2. 10.1016/j.apcatb.2013.10.04410.1016/j.apcatb.2013.10.044 ↗
3. 10.1159/00022545510.1159/000225455 ↗
4. 10.3390/s1807198610.3390/s18071986 ↗
5. OMSA Nitrate-and-Nitrite-Fact-Sheet-2022_2. 2022, No. 3, 438–444.
6. 10.3390/separations911033310.3390/separations9110333 ↗
7. 10.3390/chemosensors907016110.3390/chemosensors9070161 ↗
8. 10.1016/j.talanta.2020.12095510.1016/j.talanta.2020.120955 ↗
9. 10.1021/ac50052a02810.1021/ac50052a028 ↗
10. 10.1007/s13131-010-0012-410.1007/s13131-010-0012-4 ↗
11. 10.1016/j.drup.2020.10068210.1016/j.drup.2020.100682 ↗
12. 10.1016/j.drup.2019.10067010.1016/j.drup.2019.100670 ↗
13. 10.1002/EXP.2021002710.1002/EXP.20210027 ↗
14. 10.1038/s41928-024-01236-710.1038/s41928-024-01236-7 ↗
15. 10.1007/978-981-19-9437-110.1007/978-981-19-9437-1 ↗
16. 10.1016/j.jelechem.2020.11460510.1016/j.jelechem.2020.114605 ↗
17. 10.1016/j.talanta.2023.12512410.1016/j.talanta.2023.125124 ↗
18. 10.1002/INMD.2023001010.1002/INMD.20230010 ↗
19. 10.1016/j.microc.2024.11063410.1016/j.microc.2024.110634 ↗
20. 10.1007/s12678-023-00857-410.1007/s12678-023-00857-4 ↗
21. 10.1002/wnan.198010.1002/wnan.1980 ↗
22. 10.1016/j.jcis.2022.07.13610.1016/j.jcis.2022.07.136 ↗
23. 10.1016/j.microc.2023.10951010.1016/j.microc.2023.109510 ↗
24. 10.1016/j.talanta.2023.12437510.1016/j.talanta.2023.124375 ↗
25. 10.1007/s00604-017-2513-810.1007/s00604-017-2513-8 ↗
26. 10.1021/acsami.9b1144710.1021/acsami.9b11447 ↗
27. 10.1016/j.snb.2018.10.03610.1016/j.snb.2018.10.036 ↗
28. 10.1007/s00604-016-1751-510.1007/s00604-016-1751-5 ↗
29. 10.1021/acssuschemeng.7b0284010.1021/acssuschemeng.7b02840 ↗
30. 10.1007/s10934-018-0612-510.1007/s10934-018-0612-5 ↗
31. 10.1002/advs.20200001210.1002/advs.202000012 ↗
32. 10.1021/acs.inorgchem.9b0112410.1021/acs.inorgchem.9b01124 ↗
33. 10.1016/j.jallcom.2020.15733710.1016/j.jallcom.2020.157337 ↗
34. 10.1021/acs.inorgchem.2c0254910.1021/acs.inorgchem.2c02549 ↗
35. 10.1007/s00604-019-3737-610.1007/s00604-019-3737-6 ↗
36. 10.1039/D2RA04317C10.1039/D2RA04317C ↗
37. 10.1039/C4RA05374E10.1039/C4RA05374E ↗
38. 10.1021/acsanm.3c0539610.1021/acsanm.3c05396 ↗
39. 10.1016/S0022-0728(02)01100-210.1016/S0022-0728(02)01100-2 ↗
40. 10.1016/0013-4686(75)85026-210.1016/0013-4686(75)85026-2 ↗
41. 10.3390/pharmaceutics1503087610.3390/pharmaceutics15030876 ↗
42. 10.1016/j.bios.2018.06.03910.1016/j.bios.2018.06.039 ↗
43. 10.1007/s00216-006-0948-610.1007/s00216-006-0948-6 ↗
44. 10.1093/jaoacint/qsaa08910.1093/jaoacint/qsaa089 ↗
45. 10.1007/s11696-019-00885-910.1007/s11696-019-00885-9 ↗
46. 10.1016/j.snb.2018.01.16410.1016/j.snb.2018.01.164 ↗
47. 10.1016/j.foodchem.2022.13422810.1016/j.foodchem.2022.134228 ↗
48. 10.1016/j.foodchem.2024.14002310.1016/j.foodchem.2024.140023 ↗
49. 10.1021/jp072810410.1021/jp0728104 ↗
50. 10.1016/j.electacta.2020.13710210.1016/j.electacta.2020.137102 ↗
51. 10.1016/j.microc.2023.10884510.1016/j.microc.2023.108845 ↗
52. 10.3390/ijms1401019110.3390/ijms14010191 ↗
53. 10.1016/S0045-6535(97)10028-510.1016/S0045-6535(97)10028-5 ↗
54. 10.1016/j.elecom.2020.10689910.1016/j.elecom.2020.106899 ↗
55. 10.1149/1945-7111/ad162f10.1149/1945-7111/ad162f ↗
56. 10.20964/2017.05.7210.20964/2017.05.72 ↗
57. 10.3390/s1902026810.3390/s19020268 ↗
58. 10.1021/acsanm.0c0205210.1021/acsanm.0c02052 ↗
59. 10.1039/D0RA10522H10.1039/D0RA10522H ↗