Detection of poultry meat specific bacteria using FTIR spectroscopy and chemometrics

摘要: FTIR spectra of poultry meat specific bacteria viz. Salmonella enteritidis, Pseudomonas ludensis, Listeria monocytogenes and Escherichia coli were collected investigated for identification spectral windows capable bacterial classification quantification. Two separate datasets obtained at different times used in the study to check reproducibility results. Multivariate data analysis techniques principal component (PCA), partial least-squares discriminant (PLSDA) soft independent modelling class analogy (SIMCA) analysis. Using full cross-validation calibration prediction datasets, highest correct results SIMCA PLSDA achieved window (1800-1200 cm-1) both datasets. The was also tested then quantification it had been observed that PLS models better R values (R = 0.984) than predicting various concentration levels (R = 0.939) all four inoculated distilled water. identified 1800–1200 cm-1 demonstrated potential 100% chicken salami samples contaminated with S. enteritidis P. ludensis from control using SIMCA. However, this wavenumber range yielded few misclassifications PLS-DA approach. Thus spectroscopy combination chemometrics is a powerful technique can be developed further differentiate directly on surface.