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Characteristic substance analysis and rapid detection of bacteria spores in cooked meat products by surface enhanced Raman scattering based on Ag@AuNP array substrate.
Liu, Shijie; Zhu, Yaodi; Zhao, Lijun; Li, Miaoyun; Liang, Dong; Li, Mengya; Zhao, Gaiming; Ma, Yangyang; Tu, Qiancheng.
Affiliation
  • Liu S; College of Food Science and Technology, Henan Agricultural University, Zhengzhou, 450002, PR China; International Joint Laboratory of Meat Processing and Safety in Henan Province, Henan Agricultural University, Zhengzhou, 450002, PR China.
  • Zhu Y; College of Food Science and Technology, Henan Agricultural University, Zhengzhou, 450002, PR China; International Joint Laboratory of Meat Processing and Safety in Henan Province, Henan Agricultural University, Zhengzhou, 450002, PR China.
  • Zhao L; College of Food Science and Technology, Henan Agricultural University, Zhengzhou, 450002, PR China; International Joint Laboratory of Meat Processing and Safety in Henan Province, Henan Agricultural University, Zhengzhou, 450002, PR China.
  • Li M; College of Food Science and Technology, Henan Agricultural University, Zhengzhou, 450002, PR China; International Joint Laboratory of Meat Processing and Safety in Henan Province, Henan Agricultural University, Zhengzhou, 450002, PR China. Electronic address: limy7476@126.com.
  • Liang D; College of Food Science and Technology, Henan Agricultural University, Zhengzhou, 450002, PR China; International Joint Laboratory of Meat Processing and Safety in Henan Province, Henan Agricultural University, Zhengzhou, 450002, PR China.
  • Li M; College of Food Science and Technology, Henan Agricultural University, Zhengzhou, 450002, PR China; International Joint Laboratory of Meat Processing and Safety in Henan Province, Henan Agricultural University, Zhengzhou, 450002, PR China.
  • Zhao G; College of Food Science and Technology, Henan Agricultural University, Zhengzhou, 450002, PR China; International Joint Laboratory of Meat Processing and Safety in Henan Province, Henan Agricultural University, Zhengzhou, 450002, PR China.
  • Ma Y; College of Food Science and Technology, Henan Agricultural University, Zhengzhou, 450002, PR China; International Joint Laboratory of Meat Processing and Safety in Henan Province, Henan Agricultural University, Zhengzhou, 450002, PR China.
  • Tu Q; College of Food Science and Technology, Henan Agricultural University, Zhengzhou, 450002, PR China; International Joint Laboratory of Meat Processing and Safety in Henan Province, Henan Agricultural University, Zhengzhou, 450002, PR China.
Anal Chim Acta ; 1308: 342616, 2024 Jun 15.
Article in En | MEDLINE | ID: mdl-38740451
ABSTRACT

BACKGROUND:

Bacterial spores are the main potential hazard in medium- and high-temperature sterilized meat products, and their germination and subsequent reproduction and metabolism can lead to food spoilage. Moreover, the spores of some species pose a health and safety threat to consumers. The rapid detection, prevention, and control of bacterial spores has always been a scientific problem and a major challenge for the medium and high-temperature meat industry. Early and sensitive identification of spores in meat products is a decisive factor in contributing to consumer health and safety.

RESULTS:

In this study, we developed a novel and stable Ag@AuNP array substrate by using a two-step synthesis approach and a liquid-interface self-assembly method that can directly detect bacterial spores in actual meat product samples without the need for additional in vitro bacterial culture. The results indicate that the Ag@AuNP array substrate exhibits high reproducibility and Raman enhancement effects (1.35 × 105). The differentiation in the Surface enhanced Raman scattering (SERS) spectra of five bacterial spores primarily arises from proteins in the spore coat and inner membrane, peptidoglycan of cortex, and Ca2⁺-DPA within the spore core. The correct recognition rate of linear discriminant analysis for spores in the meat product matrix can reach 100 %. The average recovery accuracy of the SERS quantitative model was at around 101.77 %, and the limit of detection can reach below 10 CFU/mL.

SIGNIFICANCE:

It provides a promising technological strategy for the characteristic substance analysis and timely monitoring of spores in meat products.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Silver / Spectrum Analysis, Raman / Spores, Bacterial / Meat Products Language: En Journal: Anal Chim Acta Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Silver / Spectrum Analysis, Raman / Spores, Bacterial / Meat Products Language: En Journal: Anal Chim Acta Year: 2024 Document type: Article