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Effects of Ions on Core-Shell Bimetallic Au@Ag NPs for Rapid Detection of Phosalone Residues in Peach by SERS

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Abstract

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 × 10−2 mol/L for CaBr2 to 1 × 101 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 × 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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Funding

The authors are grateful to the National Key R&D Program of China (2018YFC1603404) for its support. This research was also supported by the Fundamental Research Funds for the Central Universities (2018MS056, 2017MS075), the International and Hong Kong–Macau–Taiwan Collaborative Innovation Platform of Guangdong Province on Intelligent Food Quality Control and Process Technology & Equipment (2015KGJHZ001), the Guangdong Provincial R & D Centre for the Modern Agricultural Industry on Non-destructive Detection and Intensive Processing of Agricultural Products, the Common Technical Innovation Team of Guangdong Province on Preservation and Logistics of Agricultural Products (2016LM2154), and the Innovation Centre of Guangdong Province for Modern Agricultural Science and Technology on Intelligent Sensing and Precision Control of Agricultural Product Qualities. In addition, Tehseen Yaseen is in receipt of a PhD scholarship from the China Scholarship Council (2015GXY244).

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Authors and Affiliations

  1. School of Food Science and Engineering, South China University of Technology, Guangzhou, 510641, People’s Republic of China

    Tehseen Yaseen, Hongbin Pu & Da-Wen Sun

  2. Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Centre, Guangzhou, 510006, People’s Republic of China

    Tehseen Yaseen, Hongbin Pu & Da-Wen Sun

  3. Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, Guangzhou Higher Education Mega Centre, Guangzhou, 510006, People’s Republic of China

    Tehseen Yaseen, Hongbin Pu & Da-Wen Sun

  4. Food Refrigeration and Computerized Food Technology (FRCFT), Agriculture and Food Science Centre, University College Dublin, National University of Ireland, Belfield, Dublin 4, Ireland

    Da-Wen Sun

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  1. Tehseen Yaseen
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Tehseen Yaseen declares that she has no conflict of interest. Hongbin Pu declares that he has no conflict of interest. Da-Wen Sun declares that he has no conflict of interest.

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Yaseen, T., Pu, H. & Sun, DW. Effects of Ions on Core-Shell Bimetallic Au@Ag NPs for Rapid Detection of Phosalone Residues in Peach by SERS. Food Anal. Methods 12, 2094–2105 (2019). https://doi.org/10.1007/s12161-019-01454-2

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