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Discrimination between Bacillus and Alicyclobacillus Isolates in Apple Juice by Fourier Transform Infrared Spectroscopy and Multivariate Analysis
Author(s) -
AlHoly Murad A.,
Lin Mengshi,
Alhaj Omar A.,
AbuGoush Mahmoud H.
Publication year - 2015
Publication title -
journal of food science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 150
eISSN - 1750-3841
pISSN - 0022-1147
DOI - 10.1111/1750-3841.12768
Subject(s) - bacillus (shape) , food science , fourier transform infrared spectroscopy , pasteurization , food spoilage , principal component analysis , multivariate statistics , multivariate analysis , chemistry , biology , mathematics , bacteria , microbiology and biotechnology , physics , statistics , genetics , quantum mechanics
Alicyclobacillus is a causative agent of spoilage in pasteurized and heat‐treated apple juice products. Differentiating between this genus and the closely related Bacillus is crucially important. In this study, Fourier transform infrared spectroscopy (FT‐IR) was used to identify and discriminate between 4 Alicyclobacillus strains and 4 Bacillus isolates inoculated individually into apple juice. Loading plots over the range of 1350 and 1700 cm −1 reflected the most distinctive biochemical features of Bacillus and Alicyclobacillus . Multivariate statistical methods (for example, principal component analysis and soft independent modeling of class analogy) were used to analyze the spectral data. Distinctive separation of spectral samples was observed. This study demonstrates that FT‐IR spectroscopy in combination with multivariate analysis could serve as a rapid and effective tool for fruit juice industry to differentiate between Bacillus and Alicyclobacillus and to distinguish between species belonging to these 2 genera.