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Discrimination of Alicyclobacillus Strains Using Nitrocellulose Membrane Filter and Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy
Author(s) -
Wang Jun,
Yue Tianli,
Yuan Yahong,
Lu Xiaonan,
Shin JoongHan,
Rasco Barbara
Publication year - 2011
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/j.1750-3841.2010.02034.x
Subject(s) - attenuated total reflection , food spoilage , fourier transform infrared spectroscopy , chemistry , pasteurization , principal component analysis , food science , chromatography , analytical chemistry (journal) , infrared spectroscopy , bacteria , biology , mathematics , optics , organic chemistry , physics , statistics , genetics
Alicyclobacillus spp. are thermoacidophilic, spore‐forming bacteria, some of which cause spoilage in pasteurized and heat‐treated apple juice products through the production of guaiacol. It would be helpful if a rapid method to detect and discriminate Alicyclobacillus strains was available. A simple and rapid sample preparation method using nitrocellulose membrane filter (NMF) and a single reflection horizontal attenuated total reflection (HATR) accessory with Fourier transform infrared (FT‐IR) was developed here. Fourier transform infrared (FT‐IR) spectroscopy was used and tested on 8 Alicyclobacillus strains (KF, WAC, NWN‐13501, NWN‐12697, NWN‐12654, NWN‐10682, 1016, 1101). A linear discriminant analysis (LDA) was established to discriminate Alicyclobacillus strains. The sample preparation method could successfully separated strains into different groups by principal component analysis (PCA). High identification accuracy (95%) was achieved with the LDA model. Practical Application: The method developed in the paper can be used to discriminate different Alicyclobacillus strains from each other making it possible to easily determine whether the strain of Alicyclobacillus present is associated with juice spoilage.