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Published on: July 11, 2016
Rapid qualitative identification and application of six common lactic acid bacteria based on surface enhanced Raman
Huihui Zhi1, Shijie Liu1, Yueyu Bai2
1College of Food Science and Technology, Henan Agricultural University, Zhengzhou 450002, PR China; Sauce Braised and Prefabricated Products Modern Production School Enterprise Research and Development Center, Henan Agricultural University, Zhengzhou 450002, PR China.
None:
To achieve rapid identification and detection of lactic acid bacteria (LAB) from different genera and species, six types of lactic acid bacteria were selected as the research objects, including Lactobacillus plantarum L1, Lactobacillus gasseri Y2, Lactobacillus sakei C3, Pediococcus pentosaceus W6, Streptococcus lactis S18 and Pediococcus lactis R9. Silver nanoparticle (AgNPs) were prepared as the SERS substrate material. The SERS spectra of the six LAB strains were analyzed, and a classification and identification model was constructed.The results showed that AgNPs, as the SERS substrate material, exhibited good signal enhancement performance and excellent reproducibility (RSD < 6 %), which could clearly distinguish the differences in SERS spectral peaks among the six LAB strains. Through Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), Various types of lactic acid bacteria can be fully visualized for classification and identification, with a model accuracy rate of 100 %. This study proposes a potential technical solution for quick qualitative identification of lactic acid bacteria.
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