journal article·2023-11-10

Colorimetric Sensing Platform for Detecting Mercury Ions Based on Self-Assembly of a Two-Dimensional Au Nanoparticle Layer

Xinyu Liu, Chenyang Shen, Kedi Yu, Juan Huang, Yumin Leng, Guo Wang, Zhengbo Chen

ACS Applied Nano Materials· Volume 6· Issue 21
Publisher page

Abstract

Mercury poses a significant threat to human health and the environment, and the United States Environmental Protection Agency has set a drinking water threshold of mercury (10 nM). Therefore, developing an environmentally friendly, on-site mercury ion (Hg 2+ ) detection is highly desirable. Based on the synergetic catalysis of gold nanoparticles (AuNPs) and mercury, a simple and ultrasensitive colorimetric method for the determination of Hg 2+ was established. The innovation of this work is to propose a strategy based on the self-assembly of two-dimensional (2D) AuNPs for colorimetric detection of Hg 2+ . The AuNPs are self-assembled into a densely arranged 2D AuNP layer at the liquid/liquid interface between dimethyl carbonate and water, which converts from the disordered distribution of AuNPs in 3D space to an orderly 2D AuNP layer distribution. This avoids the shortcomings of poor repeatability and weak detection signals caused by the uneven sampling before and greatly plays the catalytic role of each AuNP. In this work, gold amalgam catalyzes colorless 3,3′,5,5′-tetramethylbenzidine (TMB) and hydrogen peroxide (H 2 O 2 ) to yield blue-green oxidized TMB (oxTMB), realizing the colorimetric quantitative detection of Hg 2+ in water systems. In this process, the formation of gold amalgam greatly improves the catalytic ability of AuNPs, and the detection limit of mercury ions is as low as 0.021 nM. The practical application of this sensor in the determination of Hg 2+ in tap water samples has also been successfully verified, providing an effective method for environmental monitoring.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced biosensing and bioanalysis techniques · Advanced Nanomaterials in Catalysis · Biosensors and Analytical Detection

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

Affiliations

Department of Chemistry, Capital Normal University, Beijing 100048, China

College of Pharmacy, University of Michigan Ann Arbor, Ann Arbor, Michigan 48109, United States

School of Mathematics and Physics, Anqing Normal University, Anqing 246133, China

Funding

Beijing Municipal Commission of Education

References (45)

Show source-provided references
1. 10.1007/s10661-019-7528-710.1007/s10661-019-7528-7 ↗
2. 10.1021/acsomega.3c0511610.1021/acsomega.3c05116 ↗
3. 10.1021/acsabm.3c0003110.1021/acsabm.3c00031 ↗
4. 10.1021/acs.analchem.2c0308410.1021/acs.analchem.2c03084 ↗
5. 10.1016/j.foodcont.2014.05.05610.1016/j.foodcont.2014.05.056 ↗
6. 10.1016/j.aca.2015.01.01110.1016/j.aca.2015.01.011 ↗
7. 10.1039/D3AN00827D10.1039/D3AN00827D ↗
8. 10.1016/j.aca.2022.34033710.1016/j.aca.2022.340337 ↗
9. 10.1039/D1EN00548K10.1039/D1EN00548K ↗
10. 10.1021/acs.analchem.2c0159510.1021/acs.analchem.2c01595 ↗
11. 10.1016/j.dyepig.2021.10986910.1016/j.dyepig.2021.109869 ↗
12. 10.1021/acsanm.0c0313410.1021/acsanm.0c03134 ↗
13. 10.3390/mi1211128310.3390/mi12111283 ↗
14. 10.1039/D2AN00560C10.1039/D2AN00560C ↗
15. 10.1021/acsomega.2c0247310.1021/acsomega.2c02473 ↗
16. 10.1039/d2an02036j10.1039/d2an02036j ↗
17. 10.1016/j.bios.2023.11518010.1016/j.bios.2023.115180 ↗
18. 10.1021/acsanm.0c0298110.1021/acsanm.0c02981 ↗
19. 10.1021/acssensors.3c0028710.1021/acssensors.3c00287 ↗
20. 10.1039/D1CC02546E10.1039/D1CC02546E ↗
21. 10.1021/acssensors.3c0031010.1021/acssensors.3c00310 ↗
22. 10.1016/j.jhazmat.2019.12175810.1016/j.jhazmat.2019.121758 ↗
23. 10.1016/j.aca.2021.33880410.1016/j.aca.2021.338804 ↗
24. 10.1039/D3TB00024A10.1039/D3TB00024A ↗
25. 10.1021/acsomega.2c0207810.1021/acsomega.2c02078 ↗
26. 10.1021/acs.accounts.9b0016710.1021/acs.accounts.9b00167 ↗
27. 10.1016/j.matt.2019.08.00810.1016/j.matt.2019.08.008 ↗
28. 10.1038/natrevmats.2017.3910.1038/natrevmats.2017.39 ↗
29. 10.1016/j.matt.2019.03.00510.1016/j.matt.2019.03.005 ↗
30. 10.1021/ja405371g10.1021/ja405371g ↗
31. 10.1039/D3CC01982A10.1039/D3CC01982A ↗
32. 10.1021/acs.jpcb.3c0194310.1021/acs.jpcb.3c01943 ↗
33. 10.1021/acs.inorgchem.3c0097810.1021/acs.inorgchem.3c00978 ↗
34. 10.1021/acscatal.2c0398710.1021/acscatal.2c03987 ↗
35. 10.1039/D2NR04019K10.1039/D2NR04019K ↗
36. 10.1021/ac501383x10.1021/ac501383x ↗
37. 10.1002/smll.20120017210.1002/smll.201200172 ↗
38. 10.1021/acs.analchem.2c0399610.1021/acs.analchem.2c03996 ↗
39. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
40. 10.1021/acscatal.0c0342610.1021/acscatal.0c03426 ↗
41. 10.1016/j.jhazmat.2021.12697810.1016/j.jhazmat.2021.126978 ↗
42. 10.1016/j.colsurfb.2021.11184610.1016/j.colsurfb.2021.111846 ↗
43. 10.1016/j.optmat.2022.11198510.1016/j.optmat.2022.111985 ↗
44. 10.1016/j.bios.2022.11441910.1016/j.bios.2022.114419 ↗
45. 10.1016/j.matlet.2022.13361410.1016/j.matlet.2022.133614 ↗