Routine classification of food pathogens Staphylococcus and Salmonella by ATR–FT-IR spectroscopy. Issue 1 (2011)

• Record Type: Journal Article
• Authors: Xu Xu, Shujun Shujun; Xie Xie, Yanping Yanping; Xu Xu, Chunxiang Chunxiang
• Is Part Of: Spectroscopy. Volume 26:Issue 1(2011)
• Page Start: 53
• Page End: 58
• Publication Date: 2011
• Subjects: ATR–FT-IR -- cluster-analysis-test -- food pathogen -- PLS-DA -- species identification
• DOI: 10.3233/SPE-2011-0525
• Languages: English
• ISSNs: 0712-4813

Abstract

Abstract : Fourier-transform infrared equipped with attenuated total reflection (ATR–FT-IR) was used in combination with multivariate statistical analysis for classification and identification of food pathogens Staphylococcus and Salmonella . The goals of the present study were to validate the feasibility of ATR–FT-IR in collecting information for discriminating different bacteria, and to assess the merits of two routes for effectively identify target foodborne bacteria. The results showed that ATR–FT-IR was able to provide enough chemical information of each species. Cluster-analysis-test was able to identify target bacteria at the genus and species level using Pearson's product-moment correction coefficient and Ward's algorithm. Partial least squares regression discriminant analysis (PLS-DA) coupled with multiplicative scatter correction (MSC), standard normal variate (SNV) and their derivatives demonstrated the probable use of this routine method to differentiate food pathogens at the sub-species level.