Title of article :
Organic acid inhibition models for Listeria innocua, Listeria ivanovii, Pseudomonas aeruginosa and Oenococcus oeni Original Research Article
Author/Authors :
Silvia A. Nakai، نويسنده , , Karl J. Siebert، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2004
Abstract :
Separate mathematical models for each of six bacteria that relate organic acid minimum inhibitory concentrations (MICs) to acid molecular properties were previously constructed and validated. MICs were determined for each of eight acids selected to have maximum modeling power for each of four additional bacteria (Listeria innocua, L. ivanovii, Pseudomonas aeruginosa and Oenococcus oeni). MIC models as a function of acid molecular properties were constructed for each organism using partial least-squares regression; these were very strong, with best prediction R2 values ranging from 0.905 to 0.947. The patterns of the MIC model coefficients were compared with those of the six bacteria models constructed previously. Together these represent one pattern of acid susceptibility and four different patterns of acid resistance (Lactobacillus-type, E. coli-type, Listeria-type and Pseudomonas-type).
Keywords :
Predictive microbiology , Minimum inhibitory concentration , Partial Least Squares regression , Principal components analysis , bacteria
Journal title :
Food Microbiology
Journal title :
Food Microbiology