journal article·2022-06-08

Hybridizing Silver Nanoparticles in Hydrogel for High-Performance Flexible SERS Chips

Mingming Chen, Jiaxin Zhang, Xiajun Zhu, Zhihong Liu, Jianli Huang, Xianchai Jiang, Fengfu Fu, Zhenyu Lin, Yongqiang Dong

ACS Applied Materials & Interfaces· Volume 14· Issue 22
Publisher page

Abstract

An ideal surface-enhanced Raman scattering (SERS) substrate should have high sensitivity, long-term stability, excellent repeatability, and strong anti-interference. In the present work, single-layer carbon-based dot (CD)-capped Ag nanoparticle aggregates (a-AgNPs/CDs) with high SERS activity are synthesized and hybridized with a hydrogel to prepare novel hydrogel SERS chips. Benefiting from the unique properties of a-AgNPs/CDs and the hydrogel, the constructed hydrogel SERS chips show excellent performances. Taking crystal violet detection as an example, the hydrogel SERS chips show a detection limit of around 1 × 10–16 mol/L (high sensitivity), maintain above 96.40% of SERS activity even after 14 weeks of storage (long-term stability), and display point-to-point relative standard deviation (RSD) in one chip as low as 1.43% (outstanding repeatability) and RSD in different chips as low as 2.75% (excellent reproducibility). Furthermore, the self-extraction effect of the hydrogel enables the flexible hydrogel SERS chips to be used for analyzing various real samples including soybean milk, juices, and fruits without any complex pretreatment. For instance, the hydrogel SERS chips are able to detect trace thiram and 2-(4-thiazolyl)benzimidazole with the detection limits of 1 and 5 ppb in liquid samples, respectively, and of 1 and 2.5 ng/cm2 on the peel of fruits, respectively. The self-extraction functional flexible SERS chips offer a reliable and convenient platform for the quick detection and on-site monitoring of chemical contaminants.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Gold and Silver Nanoparticles Synthesis and Applications · Advanced Nanomaterials in Catalysis · Biosensors and Analytical Detection

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

Affiliations

MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou 350025, China

Institute of Grain and Oil Quality Supervision and Test of Fujian, Fuzhou 350012, China

College of Chemical Engineering, Fuzhou University, Fuzhou 350025, China

Funding

Ministry of Education of the People's Republic of China · Ministry of Science and Technology of the People's Republic of China · Natural Science Foundation of Fujian Province · National Natural Science Foundation of China

References (44)

Show source-provided references
1. 10.1039/c3cs60341e10.1039/c3cs60341e ↗
2. 10.1021/acs.chemrev.7b0066810.1021/acs.chemrev.7b00668 ↗
3. 10.1021/acs.analchem.1c0047810.1021/acs.analchem.1c00478 ↗
4. 10.1021/acs.accounts.6b0038410.1021/acs.accounts.6b00384 ↗
5. 10.1021/acs.analchem.1c0148710.1021/acs.analchem.1c01487 ↗
6. 10.1021/acs.analchem.9b0506010.1021/acs.analchem.9b05060 ↗
7. 10.1021/acsami.0c1747110.1021/acsami.0c17471 ↗
8. 10.1021/acs.analchem.1c0095810.1021/acs.analchem.1c00958 ↗
9. 10.1021/acsami.6b1614110.1021/acsami.6b16141 ↗
10. 10.1021/acs.analchem.0c0056210.1021/acs.analchem.0c00562 ↗
11. 10.1038/ncomms1343710.1038/ncomms13437 ↗
12. 10.1021/acs.analchem.1c0079210.1021/acs.analchem.1c00792 ↗
13. 10.1021/acs.analchem.6b0432410.1021/acs.analchem.6b04324 ↗
14. 10.1021/acsami.0c2278510.1021/acsami.0c22785 ↗
15. 10.1021/cr100275d10.1021/cr100275d ↗
16. 10.1021/acsami.9b2272510.1021/acsami.9b22725 ↗
17. 10.1021/acs.nanolett.0c0318910.1021/acs.nanolett.0c03189 ↗
18. 10.1039/c9nr01297d10.1039/c9nr01297d ↗
19. 10.1002/anie.20090438210.1002/anie.200904382 ↗
20. 10.1021/am500705a10.1021/am500705a ↗
21. 10.1021/acs.chemrev.0c0034510.1021/acs.chemrev.0c00345 ↗
22. 10.1021/acsami.0c0545410.1021/acsami.0c05454 ↗
23. 10.1016/j.snb.2020.12894310.1016/j.snb.2020.128943 ↗
24. 10.1002/adom.20200158610.1002/adom.202001586 ↗
25. 10.1016/j.jece.2015.08.00710.1016/j.jece.2015.08.007 ↗
26. 10.1039/c3cc45969a10.1039/c3cc45969a ↗
27. 10.1039/c9tc04505h10.1039/c9tc04505h ↗
28. 10.1016/j.ecoenv.2020.11077110.1016/j.ecoenv.2020.110771 ↗
29. 10.1021/acsami.7b0881810.1021/acsami.7b08818 ↗
30. 10.1021/ac404224f10.1021/ac404224f ↗
31. 10.1039/c2jm30658a10.1039/c2jm30658a ↗
32. 10.1016/j.carbon.2021.09.03910.1016/j.carbon.2021.09.039 ↗
33. 10.1021/am402501710.1021/am4025017 ↗
34. 10.1039/c3ra45720f10.1039/c3ra45720f ↗
35. 10.1021/la404270w10.1021/la404270w ↗
36. 10.1039/c0sm01172j10.1039/c0sm01172j ↗
37. 10.1016/j.msec.2016.07.01510.1016/j.msec.2016.07.015 ↗
38. 10.1039/d0nj02421j10.1039/d0nj02421j ↗
39. 10.1021/acsami.7b1803910.1021/acsami.7b18039 ↗
40. 10.1021/acsami.9b0974610.1021/acsami.9b09746 ↗
41. 10.1021/acsami.0c1382810.1021/acsami.0c13828 ↗
42. 10.1021/acsami.1c0823310.1021/acsami.1c08233 ↗
43. 10.1039/d1tb01404h10.1039/d1tb01404h ↗
44. 10.1590/s0103-8478201100500013010.1590/s0103-84782011005000130 ↗