dc.contributor.author |
Xu, Y. |
|
dc.contributor.author |
Kutsanedzie, F. Y. H. |
|
dc.contributor.author |
Hassan, M. |
|
dc.contributor.author |
Zhu, J. |
|
dc.contributor.author |
Ahmad, W. |
|
dc.contributor.author |
Li, H. |
|
dc.contributor.author |
Chen, Q. |
|
dc.date.accessioned |
2022-08-19T11:51:31Z |
|
dc.date.available |
2022-08-19T11:51:31Z |
|
dc.date.issued |
2020 |
|
dc.identifier.issn |
3088146 |
|
dc.identifier.other |
10.1016/j.foodchem.2020.126300 |
|
dc.identifier.uri |
https://europepmc.org/article/med/32018077 |
|
dc.identifier.uri |
http://atuspace.atu.edu.gh:8080/handle/123456789/107 |
|
dc.description.abstract |
In this study, a novel sensor fabricated with compactly arranged gold nanoparticles (AuNPs) templated from mesoporous silica film (MSF) via air-water interface has been confirmed as a promising surface-enhanced Raman scattering (SERS) substrate for detecting trace levels of 2,4-dichlorophenoxyacetic acid (2,4-D), pymetrozine and thiamethoxam. The densely arranged AuNPs@MSF had an average AuNPs size of 5.15 nm with small nanogaps (<2nm) between AuNPs, and exhibited a high SERS performance. SERS spectra of pesticides were collected after their adsorption on the AuNPs@MSF. The results showed that the concentration of 2,4-D, pymetrozine and thiamethoxam gave a good linear relationship with SERS intensity. Moreover, the designed SERS-based sensor (AuNPs@MSF) was stable for 3 months with ca. 3% relative standard deviation (RSD) and was applied successfully for the analysis of 2,4-D extraction from both environmental and food samples. The proposed SERS-based sensor was further validated by HPLC and showed satisfactory result (p > 0.05). |
en_US |
dc.description.sponsorship |
National Natural Science Foundation of China |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Elsevier Ltd |
en_US |
dc.relation.ispartofseries |
vol;315 |
|
dc.subject |
AuNPs@mesoporous silica film |
en_US |
dc.subject |
Food |
en_US |
dc.subject |
Pesticides |
en_US |
dc.subject |
SERS sensor |
en_US |
dc.title |
Mesoporous silica supported orderly-spaced gold nanoparticles SERS-based sensor for pesticides detection in food |
en_US |
dc.type |
Article |
en_US |