Advance in Detection Technique of Lean Meat Powder Residues in Meat Using SERS: A Review

Autor: Qinghui Guo, Yankun Peng, Jianwei Qin, Kuanglin Chao, Xinlong Zhao, Tianzhen Yin
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Molecules, Vol 28, Iss 22, p 7504 (2023)
Druh dokumentu: article
ISSN: 1420-3049
DOI: 10.3390/molecules28227504
Popis: Food that contains lean meat powder (LMP) can cause human health issues, such as nausea, headaches, and even death for consumers. Traditional methods for detecting LMP residues in meat are often time-consuming and complex and lack sensitivity. This article provides a review of the research progress on the use of surface–enhanced Raman spectroscopy (SERS) technology for detecting residues of LMP in meat. The review also discusses several applications of SERS technology for detecting residues of LMP in meat, including the enhanced detection of LMP residues in meat based on single metal nanoparticles, combining metal nanoparticles with adsorbent materials, combining metal nanoparticles with immunizing and other chemicals, and combining the SERS technology with related techniques. As SERS technology continues to develop and improve, it is expected to become an even more widely used and effective tool for detecting residues of LMP in meat.
Databáze: Directory of Open Access Journals
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