A Sensitive Photoelectrochemical Sensor for Levodopa Detection Using Benzothiadiazole-Based Conjugated Microporous Polymer-Coated Graphene Heterostructures
Source abstract
Abstract
Since the 1960s, levodopa (LDA) has been the standard drug for treating of Parkinson's disease. In this study, a novel benzothiadiazole-based conjugated microporous polymer-coated graphene heterostructure (CMP-rGO) was synthesized and used to construct a sensitive photoelectrochemical (PEC) sensor capable of detecting LDA. Under optimal experimental conditions, the intensity of the photocurrent produced by the sensor was linear from 0.005 to 40 μM, and the limit of detection of the sensor was 0.0027 μM. The sensor showed good repeatability, stability, and selectivity for LDA detection. Finally, the constructed sensor was used to detect LDA in levodopa tablets, human serum samples, and urine samples and satisfactory results were obtained. Therefore, the PEC sensor provides a novel platform for the detection of LDA in real samples and broadens the applications of conjugated microporous polymers in PEC sensing.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Covalent Organic Framework Applications · Conducting polymers and applications · Electrochemical sensors and biosensors
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Chemical and Biological Engineering, Guangxi Normal University for Nationalities, Chongzuo532200, China
Photochemical Sensing and Regional Environmental Analysis Laboratory, Guangxi Normal University for Nationalities, Chongzuo532200, China
School of Pharmacy, Henan University of Traditional Chinese Medicine, Zhengzhou450046, China
College of Mathematics, Physics and Electronic Information Engineering, Guangxi Normal University for Nationalities, Chongzuo532200, China
Funding
Guangxi Natural Science Foundation · Research Foundation for Advanced Talents of Guangxi Normal University for Nationalities · Science and Technology program of Chongzuo
References (62)
Show source-provided references
1. 10.1016/j.snb.2020.12930210.1016/j.snb.2020.129302 ↗
2. 10.1016/j.bios.2020.11252210.1016/j.bios.2020.112522 ↗
3. 10.1039/C7TC05743A10.1039/C7TC05743A ↗
4. 10.1016/j.snb.2017.04.13010.1016/j.snb.2017.04.130 ↗
5. 10.1149/2.1051915jes10.1149/2.1051915jes ↗
6. 10.1016/j.bios.2018.02.00910.1016/j.bios.2018.02.009 ↗
7. 10.1016/j.snb.2019.05.04710.1016/j.snb.2019.05.047 ↗
8. 10.1016/j.bios.2019.11194910.1016/j.bios.2019.111949 ↗
9. 10.1021/acs.jpcc.6b0692910.1021/acs.jpcc.6b06929 ↗
10. 10.1016/j.foodchem.2022.13308610.1016/j.foodchem.2022.133086 ↗
11. 10.1016/j.snb.2022.13161910.1016/j.snb.2022.131619 ↗
12. 10.1016/j.bios.2017.12.03710.1016/j.bios.2017.12.037 ↗
13. 10.1016/j.msec.2020.11128710.1016/j.msec.2020.111287 ↗
14. 10.1038/nature2545710.1038/nature25457 ↗
15. 10.1021/acssensors.9b0112710.1021/acssensors.9b01127 ↗
16. 10.1016/j.bios.2019.11147010.1016/j.bios.2019.111470 ↗
17. 10.1136/pgmj.2003.01391210.1136/pgmj.2003.013912 ↗
18. 10.1016/j.talanta.2009.01.00110.1016/j.talanta.2009.01.001 ↗
19. 10.1016/j.aca.2007.09.00610.1016/j.aca.2007.09.006 ↗
20. 10.1016/j.jchromb.2018.05.03010.1016/j.jchromb.2018.05.030 ↗
21. 10.1016/S0731-7085(00)00516-110.1016/S0731-7085(00)00516-1 ↗
22. 10.1002/ange.20120716310.1002/ange.201207163 ↗
23. 10.1016/j.cplett.2008.03.03110.1016/j.cplett.2008.03.031 ↗
24. 10.1021/ja409587810.1021/ja4095878 ↗
25. 10.1021/acsaem.0c0007910.1021/acsaem.0c00079 ↗
26. 10.1021/ja801017610.1021/ja8010176 ↗
27. 10.1039/c3cs60160a10.1039/c3cs60160a ↗
28. 10.1039/C5TA03820K10.1039/C5TA03820K ↗
29. 10.1021/acs.macromol.7b0251510.1021/acs.macromol.7b02515 ↗
30. 10.1021/acsabm.8b0020510.1021/acsabm.8b00205 ↗
31. 10.1016/j.msec.2021.11212110.1016/j.msec.2021.112121 ↗
32. 10.1021/acs.macromol.8b0066910.1021/acs.macromol.8b00669 ↗
33. 10.1021/ja508693y10.1021/ja508693y ↗
34. 10.1039/c3ta11940h10.1039/c3ta11940h ↗
35. 10.1002/adfm.20170754810.1002/adfm.201707548 ↗
36. 10.1021/acsami.9b0983210.1021/acsami.9b09832 ↗
37. 10.1016/j.snb.2012.03.04010.1016/j.snb.2012.03.040 ↗
38. 10.1016/j.electacta.2018.10.17710.1016/j.electacta.2018.10.177 ↗
39. 10.1016/j.talanta.2011.09.00510.1016/j.talanta.2011.09.005 ↗
40. 10.1002/adma.20100073210.1002/adma.201000732 ↗
41. 10.1016/j.jtice.2021.11.02210.1016/j.jtice.2021.11.022 ↗
42. 10.1016/j.snb.2020.12874910.1016/j.snb.2020.128749 ↗
43. 10.1016/j.snb.2016.02.06910.1016/j.snb.2016.02.069 ↗
44. 10.1021/acsanm.0c0253910.1021/acsanm.0c02539 ↗
45. 10.1016/j.cej.2018.12.04510.1016/j.cej.2018.12.045 ↗
46. 10.1002/adma.20150178610.1002/adma.201501786 ↗
47. 10.1016/j.matlet.2016.04.19510.1016/j.matlet.2016.04.195 ↗
48. 10.1021/cm403161e10.1021/cm403161e ↗
49. 10.3389/fchem.2021.80386010.3389/fchem.2021.803860 ↗
50. 10.1021/acssuschemeng.8b0115310.1021/acssuschemeng.8b01153 ↗
51. 10.1021/jacs.5b0877310.1021/jacs.5b08773 ↗
52. 10.1007/s00216-021-03840-410.1007/s00216-021-03840-4 ↗
53. 10.1016/j.bios.2018.01.05110.1016/j.bios.2018.01.051 ↗
54. 10.1016/j.snb.2017.06.10510.1016/j.snb.2017.06.105 ↗
55. 10.1016/j.snb.2020.12880810.1016/j.snb.2020.128808 ↗
56. 10.1016/j.elecom.2015.10.01810.1016/j.elecom.2015.10.018 ↗
57. 10.1007/s00604-019-3644-x10.1007/s00604-019-3644-x ↗
58. 10.1002/elan.20100055810.1002/elan.201000558 ↗
59. 10.1039/C4AY01638F10.1039/C4AY01638F ↗
60. 10.1016/j.jelechem.2009.09.01010.1016/j.jelechem.2009.09.010 ↗
61. 10.1016/j.bioelechem.2012.01.00110.1016/j.bioelechem.2012.01.001 ↗
62. 10.17344/acsi.2015.154110.17344/acsi.2015.1541 ↗