journal article·2025-06-13

Molecularly Imprinted Electrochemical Sensor Based on Magnetic Mesoporous Nanocarriers for Sensitive Detection of Tetrabromobisphenol A

Yanming Shao, Mengyi Kang, Huanran Feng, Caifeng Hao, Xuan Rong, Huanhuan Zhao, Wenli Ma, Wenli Peng, Yunhe Li

ACS Applied Nano Materials· Volume 8· Issue 23
Publisher page

Abstract

Tetrabromobisphenol A (TBBPA) residues are commonly found in sediments, soil, and sewage, necessitating the development of sensitive methods for its detection in environmental samples due to its potential cytotoxicity and hepatotoxicity. A molecularly imprinted electrochemical sensor, incorporating a magnetic surface molecularly imprinted polymer (SMIP) and an MXene/Au nanocomposite, has been designed for the selective detection of TBBPA. The synergistic effect between MXene and Au nanoparticles significantly enhances the electrochemical signal, thereby resulting in superior sensitivity of the sensor. SMIP was prepared by surface-initiated reversible addition–fragmentation chain transfer polymerization with magnetic mesoporous nanosilica (Fe 3 O 4 @mSiO 2 ) as the carrier. Magnetic mesoporous SiO 2 nanoparticles, which combine the advantages of magnetic responsiveness and high specific surface area, not only facilitate the efficient separation of imprinted polymers from liquid mediums under the influence of an external magnetic field but also provide more imprinting sites for SMIP, significantly improving the recognition efficiency. The glassy carbon electrode was sequentially modified with Fe 3 O 4 @mSiO 2 @SMIP and the MXene/Au nanocomposite to achieve specific recognition sites and increased response in electrochemical signals. Density functional theory was employed to optimize the functional monomer and the molar ratio between the template molecule and functional monomer. In addition, variables like pH and incubation time were also optimized to achieve the best detection performance. The current response was linear with TBBPA concentration ranging from 1–4500 nM. The detection limit of the sensor is 0.83 nM. The prepared sensor was successfully used to detect TBBPA in water samples with the recovery ranging from 96.0% to 104.0%. The results indicate that the sensor has wide prospects in the detection of TBBPA in tap water and river water.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Analytical chemistry methods development · Advanced Chemical Sensor Technologies · Analytical Chemistry and Chromatography

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

Affiliations

College of Chemistry and Chemical Engineering, Key Laboratory of Auxiliary Chemistry and Technology for Chemical Industry, Ministry of Education, Shaanxi Key Laboratory of Chemical Additives for Industry

Shaanxi University of Science and Technology

Interdisciplinary Research Center of Smart Sensors, Key Laboratory of Artificial Olfaction of Shaanxi Higher Education Institutes, Shaanxi Key Laboratory of High-Orbits-Electron Materials and Protection Technology for Aerospace, School of Advanced Materials and Nanotechnology

Xidian University

School of Materials Science and Engineering

Lanzhou Jiaotong University

Funding

Scientific Research Plan Projects of Shaanxi Education Department · Natural Science Basic Research Program of Shaanxi Province · National Natural Science Foundation of China · Research Starting Foundation of Shaanxi University of Science and Technology

References (69)

Show source-provided references
1. 10.1016/j.jhazmat.2022.12863010.1016/j.jhazmat.2022.128630 ↗
2. 10.1016/j.envpol.2018.05.07510.1016/j.envpol.2018.05.075 ↗
3. 10.1016/j.chemosphere.2020.12770510.1016/j.chemosphere.2020.127705 ↗
4. 10.1007/s11356-021-15166-w10.1007/s11356-021-15166-w ↗
5. 10.1016/j.toxlet.2016.11.01910.1016/j.toxlet.2016.11.019 ↗
6. 10.1016/j.chroma.2017.03.04010.1016/j.chroma.2017.03.040 ↗
7. 10.1016/j.microc.2021.10692010.1016/j.microc.2021.106920 ↗
8. 10.1016/j.foodchem.2017.04.05510.1016/j.foodchem.2017.04.055 ↗
9. 10.1016/j.talanta.2019.03.06510.1016/j.talanta.2019.03.065 ↗
10. 10.1021/acsanm.3c0438810.1021/acsanm.3c04388 ↗
11. 10.1021/acsanm.3c0168110.1021/acsanm.3c01681 ↗
12. 10.1016/j.progpolymsci.2024.10179010.1016/j.progpolymsci.2024.101790 ↗
13. 10.1016/j.eurpolymj.2020.11023110.1016/j.eurpolymj.2020.110231 ↗
14. 10.1007/s42114-023-00775-510.1007/s42114-023-00775-5 ↗
15. 10.1038/s41929-021-00649-310.1038/s41929-021-00649-3 ↗
16. 10.1016/j.foodchem.2015.01.06910.1016/j.foodchem.2015.01.069 ↗
17. 10.1016/j.trac.2021.11642610.1016/j.trac.2021.116426 ↗
18. 10.1038/s41570-021-00328-810.1038/s41570-021-00328-8 ↗
19. 10.1016/j.progpolymsci.2016.04.00110.1016/j.progpolymsci.2016.04.001 ↗
20. 10.1016/j.talanta.2011.03.06010.1016/j.talanta.2011.03.060 ↗
21. 10.1016/j.envpol.2010.02.00710.1016/j.envpol.2010.02.007 ↗
22. 10.1016/j.progpolymsci.2020.10131110.1016/j.progpolymsci.2020.101311 ↗
23. 10.1016/j.molliq.2015.11.05710.1016/j.molliq.2015.11.057 ↗
24. 10.1016/j.bios.2014.03.02810.1016/j.bios.2014.03.028 ↗
25. 10.1016/j.jpowsour.2021.23095610.1016/j.jpowsour.2021.230956 ↗
26. 10.1016/j.chempr.2018.07.00910.1016/j.chempr.2018.07.009 ↗
27. 10.1021/acsanm.3c0353010.1021/acsanm.3c03530 ↗
28. 10.1021/acsanm.4c0405010.1021/acsanm.4c04050 ↗
29. 10.1016/j.matdes.2023.11186710.1016/j.matdes.2023.111867 ↗
30. 10.1016/j.cej.2024.14930110.1016/j.cej.2024.149301 ↗
31. 10.1007/s42114-022-00562-810.1007/s42114-022-00562-8 ↗
32. 10.1016/j.ccr.2016.02.01010.1016/j.ccr.2016.02.010 ↗
33. Frisch M. J. · 2016
34. 10.1002/jcc.2175910.1002/jcc.21759 ↗
35. 10.1063/1.45506410.1063/1.455064 ↗
36. Legault, C. Y. CYL view, 1.0B; Universite de Sherbrooke, Quebec, Canada, 2009, https://www.cylview.org/.
37. 10.1002/jcc.2288510.1002/jcc.22885 ↗
38. 10.1016/j.jmgm.2012.07.00410.1016/j.jmgm.2012.07.004 ↗
39. 10.1016/j.physe.2013.04.03210.1016/j.physe.2013.04.032 ↗
40. 10.1016/j.jhazmat.2017.07.06210.1016/j.jhazmat.2017.07.062 ↗
41. 10.1021/ma001808710.1021/ma0018087 ↗
42. 10.1016/j.addr.2005.07.01210.1016/j.addr.2005.07.012 ↗
43. 10.1016/j.bios.2024.11638410.1016/j.bios.2024.116384 ↗
44. 10.1039/C5TB02260F10.1039/C5TB02260F ↗
45. 10.1016/j.bios.2018.08.01610.1016/j.bios.2018.08.016 ↗
46. 10.1007/s10008-019-04237-110.1007/s10008-019-04237-1 ↗
47. 10.1016/j.ijbiomac.2020.12.05210.1016/j.ijbiomac.2020.12.052 ↗
48. 10.1016/j.talanta.2021.12243010.1016/j.talanta.2021.122430 ↗
49. 10.1007/s00604-021-04884-010.1007/s00604-021-04884-0 ↗
50. 10.1016/j.jallcom.2018.09.12510.1016/j.jallcom.2018.09.125 ↗
51. 10.1016/j.jcis.2017.04.05410.1016/j.jcis.2017.04.054 ↗
52. 10.1021/jp309866d10.1021/jp309866d ↗
53. 10.1016/j.aca.2010.09.01710.1016/j.aca.2010.09.017 ↗
54. 10.1016/j.cej.2021.12867810.1016/j.cej.2021.128678 ↗
55. 10.1016/j.apsusc.2020.14851710.1016/j.apsusc.2020.148517 ↗
56. 10.1016/j.memsci.2019.11771010.1016/j.memsci.2019.117710 ↗
57. 10.1002/pola.2445410.1002/pola.24454 ↗
58. 10.1016/j.radphyschem.2019.02.05010.1016/j.radphyschem.2019.02.050 ↗
59. 10.1007/s10853-018-2017-x10.1007/s10853-018-2017-x ↗
60. 10.1016/j.jcis.2010.05.01010.1016/j.jcis.2010.05.010 ↗
61. 10.1016/j.bios.2019.11149110.1016/j.bios.2019.111491 ↗
62. 10.1039/D3EN00091E10.1039/D3EN00091E ↗
63. 10.1016/j.mseb.2024.11754610.1016/j.mseb.2024.117546 ↗
64. 10.1016/j.jconrel.2016.08.02510.1016/j.jconrel.2016.08.025 ↗
65. 10.1016/j.apsusc.2010.05.05910.1016/j.apsusc.2010.05.059 ↗
66. 10.1016/j.snb.2017.04.00210.1016/j.snb.2017.04.002 ↗
67. 10.1016/j.talanta.2016.01.03310.1016/j.talanta.2016.01.033 ↗
68. 10.3390/chemosensors1109048210.3390/chemosensors11090482 ↗
69. 10.3390/mi1301011510.3390/mi13010115 ↗