University of Oulu

Zhang, J., Wu, C., Yuan, R., Huang, J.-A., & Yang, X. (2022). Gap controlled self-assembly Au@Ag@Au NPs for SERS assay of thiram. Food Chemistry, 390, 133164.

Gap controlled self-assembly Au@Ag@Au NPs for SERS assay of thiram

Saved in:
Author: Zhang, Jiale1; Wu, Caijun1; Yuan, Ruo1;
Organizations: 1Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University) Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing, PR China
2Faculty of Medicine, Faculty of Biochemistry and Molecular Medicine, University of Oulu, Aapistie 5A, 90220 Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.9 MB)
Persistent link:
Language: English
Published: Elsevier, 2022
Publish Date: 2023-05-05


Thiram (TRM), one dithiocarbamate fungicide, is hazardous due to its ever-growing threat to our production and living. In order to detecting TRM more sensitively, a subtle surface-enhanced Raman scattering (SERS) substrate was reported to achieve TRM detection based on oil-water biphasic self-assembly interface of multi-interstitial Au@Ag@Au NPs crosslinking with 4,4′ -Diamino-p-Terphenyl (DATP). This Au@Ag@Au@DATP array shows a noteworthy enhanced Raman signal and stability by controlling the inter-particle spacing of Au@Ag@Au NPs, which overcomes problems of traditional randomly self-assembly methods without cross linker. The Au@Ag@Au@DATP array attained the limit of detection (LOD) of 7.56 × 10−3 ppb for TRM. In addition, this work gives a new approach for controlling gap of SERS hot spot, which have distinct potential in rapid assessment and identification of pesticides on foods.

see all

Series: Food chemistry
ISSN: 0308-8146
ISSN-E: 1873-7072
ISSN-L: 0308-8146
Volume: 390
Article number: 133164
DOI: 10.1016/j.foodchem.2022.133164
Type of Publication: A1 Journal article – refereed
Field of Science: 221 Nanotechnology
Funding: This work is supported by the National Natural Science Foundation of China (22174114). Jian-An Huang acknowledges the DigiHealth-project, a strategic profiling project at the University of Oulu that is supported by the Academy of Finland (project number 326291) and the University of Oulu.
Copyright information: © 2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license