期刊
FOOD ANALYTICAL METHODS
卷 12, 期 9, 页码 2094-2105出版社
SPRINGER
DOI: 10.1007/s12161-019-01454-2
关键词
SERS; Phosalone; Residue detection; Substrate; Fruit; Ions; Core-shell nanoparticles
资金
- National Key R&D Program of China [2018YFC1603404]
- Fundamental Research Funds for the Central Universities [2018MS056, 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
- China Scholarship Council [2015GXY244]
The sensitivity of surface-enhanced Raman spectroscopy (SERS) extremely relies on experimental parameters including pH and aggregating agents. Using Au@Ag nanoparticles (NPs) with 26 nm Au core size and 6 nm Ag shell thickness as the substrate, the effect of cationic (Ca2+, K+, Na+) and anionic (Cl-, Br-) aggregating agents was investigated on the SERS detection of phosalone. The optimum concentrations of the aggregating agents in relation to the maximum SERS intensity differed broadly from 1 x 10(-2) mol/L for CaBr2 to 1 x 10(1) mol/L for KCl. Both anions and cations greatly affected the SERS enhancement. With employing Br- as the anion, Ca2+ and K+ showed the maximum SERS intensities for phosalone, while using Ca2+ as the cation, Br- produced the maximum SERS enhancement. Among these aggregating agent combinations, the maximum SERS enhancement was achieved by employing 1 x 10(-2) mol/L CaBr2 at pH 3.0. The detection limits of phosalone in standard solution and peach were 0.02 mg/L and 0.2 mg/kg, respectively. This study demonstrated that the Au@Ag NP-based SERS approach could be used as a sensitive, rapid, and simple method for detecting trace contaminants in food matrices.
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