Evaluation of Fourier-transform infrared spectroscopy for data capture in predictive microbiology

✍ Scribed by L. Vannini; R. Lanciotti; F. Gardini; M. E. Guerzoni

• Book ID: 104723733
• Publisher: Springer
• Year: 1996
• Tongue: English
• Weight: 552 KB
• Volume: 12
• Category: Article
• ISSN: 1573-0972
• DOI: 10.1007/bf00327808

✦ Synopsis

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.