Integration of NiTiO3 Films onto TiO2 Nanorods as Photoanodes for Glucose Detection with Near-Infrared Light
Source abstract
Abstract
Diabetes remains a significant chronic disease, with its prevalence projected to exceed 700 million by 2045. Monitoring glucose levels through conventional methods is crucial for mitigating the associated health risks. In this study, NiTiO 3 films are loaded on TiO 2 nanorods to create photoanodes, which are applied for glucose detection using near-infrared (NIR) light illumination. This approach achieved a detection limit of 0.01 mM with selectivity reaching up to 95%. Additionally, the long-term stability was confirmed for at least 16 weeks. This study demonstrates the potential of using NiTiO 3 -based nanomaterials as an NIR-driven sensor for glucose detection.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Electrochemical sensors and biosensors · Advanced Nanomaterials in Catalysis · Advanced biosensing and bioanalysis techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Photocatalysis on Energy and Environment, College of Chemistry, Fuzhou University, Fuzhou 350116, P. R. China
College of Environment & Safety Engineering, Fuzhou University, Fuzhou 350116, P. R. China
Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, P. R. China
Sino-UK International Joint Laboratory on Photocatalysis for Clean Energy and Advanced Chemicals & Materials, Fuzhou University, Fuzhou, Fujian 350108, P. R. China
Funding
Key Technologies Research and Development Program · National Natural Science Foundation of China · Higher Education Discipline Innovation Project
References (55)
Show source-provided references
1. 10.1016/j.diabres.2021.10911910.1016/j.diabres.2021.109119 ↗
2. 10.1016/S0140-6736(23)01301-610.1016/S0140-6736(23)01301-6 ↗
3. 10.1016/j.diabres.2021.10911810.1016/j.diabres.2021.109118 ↗
4. 10.1002/adhm.20170115010.1002/adhm.201701150 ↗
5. 10.1016/j.jcis.2022.11.12010.1016/j.jcis.2022.11.120 ↗
6. 10.1016/j.apcatb.2023.12270110.1016/j.apcatb.2023.122701 ↗
7. 10.1039/D0RA08920F10.1039/D0RA08920F ↗
8. 10.1016/j.bios.2023.11531210.1016/j.bios.2023.115312 ↗
9. 10.1016/j.jphotochemrev.2015.06.00210.1016/j.jphotochemrev.2015.06.002 ↗
10. 10.1016/j.microc.2024.11052810.1016/j.microc.2024.110528 ↗
11. 10.1021/acs.analchem.3c0004610.1021/acs.analchem.3c00046 ↗
12. 10.1016/j.bios.2020.11246610.1016/j.bios.2020.112466 ↗
13. 10.1021/acs.analchem.3c0543910.1021/acs.analchem.3c05439 ↗
14. 10.1021/acsanm.9b0016510.1021/acsanm.9b00165 ↗
15. 10.1016/j.bios.2023.11536810.1016/j.bios.2023.115368 ↗
16. 10.1016/j.snb.2019.02.12110.1016/j.snb.2019.02.121 ↗
17. 10.1021/acs.analchem.2c0264510.1021/acs.analchem.2c02645 ↗
18. 10.1016/j.jelechem.2020.11491210.1016/j.jelechem.2020.114912 ↗
19. 10.1016/j.cej.2023.14698910.1016/j.cej.2023.146989 ↗
20. 10.1021/acssensors.4c0062110.1021/acssensors.4c00621 ↗
21. 10.1007/s10854-022-07799-510.1007/s10854-022-07799-5 ↗
22. 10.1016/j.apcatb.2021.12036910.1016/j.apcatb.2021.120369 ↗
23. 10.1002/anie.20180453010.1002/anie.201804530 ↗
24. 10.1038/ncomms976910.1038/ncomms9769 ↗
25. 10.1016/j.ces.2022.11743510.1016/j.ces.2022.117435 ↗
26. 10.1002/anie.20230723610.1002/anie.202307236 ↗
27. 10.1002/cssc.20240052810.1002/cssc.202400528 ↗
28. 10.1002/chem.20200283810.1002/chem.202002838 ↗
29. 10.1016/j.bios.2023.11514510.1016/j.bios.2023.115145 ↗
30. 10.1021/acs.analchem.4c0105910.1021/acs.analchem.4c01059 ↗
31. 10.1038/s41377-021-00628-010.1038/s41377-021-00628-0 ↗
32. 10.1002/adma.20170579910.1002/adma.201705799 ↗
33. 10.1002/advs.20180215710.1002/advs.201802157 ↗
34. 10.3390/ijms2510530910.3390/ijms25105309 ↗
35. 10.1016/j.tifs.2015.10.00210.1016/j.tifs.2015.10.002 ↗
36. 10.1002/chem.20200283810.1002/chem.202002838 ↗
37. 10.1016/j.bios.2021.11349010.1016/j.bios.2021.113490 ↗
38. 10.1016/j.bios.2014.02.07610.1016/j.bios.2014.02.076 ↗
39. 10.1021/am404539j10.1021/am404539j ↗
40. 10.1016/j.jelechem.2021.11553910.1016/j.jelechem.2021.115539 ↗
41. 10.2306/scienceasia1513-1874.2023.04210.2306/scienceasia1513-1874.2023.042 ↗
42. 10.1002/adfm.20220810110.1002/adfm.202208101 ↗
43. Fan, S.; Yang, Q.; Yin, G.; Qi, X.; Feng, Y.; Ding, J.; Peng, Q.; Qu, Y.; Wang, Q.; Shen, Y.; Wang, M.; Gong, X. All-Inorganic Perovskite NiTiO3/Cs3Sb2I9 Heterostructure for Photocatalytic CO2 Reduction to CH4 with High Selectivity. Small 2024, 20 (29). DOI: 10.1002/smll.202311978.10.1002/smll.202311978 ↗
44. 10.1016/j.cej.2023.14708010.1016/j.cej.2023.147080 ↗
45. 10.1016/j.chemosphere.2023.13962810.1016/j.chemosphere.2023.139628 ↗
46. 10.1016/j.jallcom.2023.17268910.1016/j.jallcom.2023.172689 ↗
47. 10.1021/acsami.2c2219310.1021/acsami.2c22193 ↗
48. 10.1039/D3DT01527K10.1039/D3DT01527K ↗
49. 10.1016/j.cclet.2020.11.06610.1016/j.cclet.2020.11.066 ↗
50. 10.1038/s41467-023-39226-610.1038/s41467-023-39226-6 ↗
51. 10.1016/j.bios.2020.11267510.1016/j.bios.2020.112675 ↗
52. 10.1038/s41577-019-0185-910.1038/s41577-019-0185-9 ↗
53. 10.1016/j.biosx.2022.10015710.1016/j.biosx.2022.100157 ↗
54. 10.1021/acsanm.4c0222710.1021/acsanm.4c02227 ↗
55. 10.1021/acsanm.9b0132510.1021/acsanm.9b01325 ↗