| Literature DB >> 35453096 |
Sheng-Hong Liu1, Xiu-Mei Lin2, Zhi-Lan Yang1, Bao-Ying Wen1, Fan-Li Zhang3, Yue-Jiao Zhang4, Jian-Feng Li5.
Abstract
Identification of waste oils is challenging in the field of food safety due to the lack of common markers and straightforward analytical methods. Herein, we developed a novel label-free surface-enhanced Raman spectroscopy (SERS) strategy to identify waste oils using Ag nanoparticles solution (Ag NPs sol.) as a SERS substrate to significantly enhance the Raman signal of capsaicin marker molecule usually contained in the waste oils. The enhanced signal was directly detected by a portable Raman spectrometer with the limit of detection (LOD) of 2.9 μg L-1 within 10 min. Concentration-dependent SERS investigation showed the linear relationship between the SERS signal intensity of the characteristic peaks and the concentrations of capsaicin in the range of 10-2500 μg L-1 and the correlation coefficient was 0.9895. Our findings show the sensitivity, accessibility, and reliability of this method for the rapid identification of waste oils and furthermore for the practical applications in the field of food safety.Entities:
Keywords: Capsaicin; Detection; Quantitative; SERS; Waste oils
Mesh:
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Year: 2022 PMID: 35453096 DOI: 10.1016/j.talanta.2022.123488
Source DB: PubMed Journal: Talanta ISSN: 0039-9140 Impact factor: 6.057