期刊
TALANTA
卷 195, 期 -, 页码 841-849出版社
ELSEVIER
DOI: 10.1016/j.talanta.2018.11.114
关键词
Thiabendazole; Surface enhanced Raman spectroscopy; Gold nanorods array; Apple
资金
- Collaborative Innovation Major Special Projects of Guangzhou City [201604020007]
- Guangdong Provincial Science and Technology Plan Projects [2015A020209016, 2016A040403040]
- Fundamental Research Funds for the Central Universities [2017MS067, 2017MS075]
- International and Hong Kong - Macau Taiwan Collaborative Innovation Platform of Guangdong Province on Intelligent Food Quality Control and Process Technology Equipment [2015KGJHZ001]
- Guangdong Provincial R&D Centre for the Modern Agricultural Industry on Non-destructive Detection and Intensive Processing of Agricultural Products
- Common Technical Innovation Team of Guangdong Province on Preservation and Logistics of Agricultural Products [2016LM2154]
- Innovation Centre of Guangdong Province for Modern Agricultural Science and Technology on Intelligent Sensing and Precision Control of Agricultural Product Qualities
Thiabendazole (TBZ) is a kind of pesticide that is widely used in agriculture, and its residue may pose a threat to human health. In order to measure TBZ residues in food samples, a surface-enhanced Raman spectroscopy (SERS) method combined with a homogeneous and reusable gold nanorods (GNR) array substrate was proposed. GNR with a high uniformity was synthesized and then applied to the self-assembly of a GNR vertically aligned array. The relative standard deviation (RSD) of the array for SERS could reach 15.4%, and the array could be reused for more than seven times through the treatment of plasma etching. A logarithmic correlation between TBZ concentration and Raman intensity was obtained, with the best determination coefficient (R-2) and the corresponding limit of detection (LOD) of 0.991 and 0.037 mg/L in methanol solution, and 0.980 and 0.06 ppm in apple samples, respectively. The recoveries of TBZ in apple samples ranged from 76% to 107%. This study provided a rapid and sensitive approach for detecting TBZ in apples based on SERS coupled with GNR array substrate, showing great potential for analyzing other trace contaminants in food matrices.
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