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High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology
Published on: January 21, 2015
Evaluation of Fourier-transform infrared spectroscopy for data capture in predictive microbiology
L Vannini1, R Lanciotti, F Gardini
1Dipartimento di Protezione e Valorizzazione Agroalimentare, Università degli Studi di Bologna, via S. Giacomo 7, 40126, Bologna, Italy.
Abstract:
Chemical changes in the medium, induced by the fermentative species Lactobacillus plantarum and Lactobacillus brevis and by the enzymatic action of a proteolytic, spoilage species, Yarrowia lipolytica, were analysed using Fourier-transform i.r. spectroscopy (FTIR). Changes in the absorbance data over time could be modelled using one of the more current predictive, mathematical models of microbial growth, such as the Gompertz equation. Moreover, a linear correlation between FTIR data (expressed as absorbance of some selected peaks) and viability data (expressed as log10 c.f.u./g or ml) was observed during the fermentation process, both for L. plantarum and L. brevis.
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