2021
DOI: 10.53671/pturj.v9i1.160
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Growth Prediction of the Food Spoilage Yeast Debaryomyces Hansenii using Multivariate Data Analysis

Abstract: The main aim of the present study was to predict the growth of the food spoilage yeast Debaryomyces hansenii by multivariate data analysis (MVDA) using temperature, pH and NaCl concentration as growth parameters. Growth of five strains of D. hansenii (DHI, DHII, DHIII, DHIV and DHV) was measured as optical density at 620 nm (OD620) at different values of temperature, pH and NaCl concentrations. It was found that salt was the most important factor, which affects yeast growth followed by temperature. The growth … Show more

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Cited by 3 publications
(2 citation statements)
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“…Related to a recent study carried by Masoud et al [ 24 ], there was a contribution to model a concentration of one D. hansenii strain using EN [ 25 ]. The results in that contribution were that R 2 and slope for the calibration set were both 0.97, while R 2 and slope in the validation set were 0.95 and 0.99, respectively.…”
Section: Resultsmentioning
confidence: 99%
“…Related to a recent study carried by Masoud et al [ 24 ], there was a contribution to model a concentration of one D. hansenii strain using EN [ 25 ]. The results in that contribution were that R 2 and slope for the calibration set were both 0.97, while R 2 and slope in the validation set were 0.95 and 0.99, respectively.…”
Section: Resultsmentioning
confidence: 99%
“…Additionally, the secretion of proteases and lipases and the contents of free fatty acids (that determine the taste and flavor) at 25°C were significantly higher than those at 14°C, suggesting that 25°C is a suitable temperature for aging ( Galvalisi et al, 2012 ). The temperature variation is a key influencing factor in the growth of D. hansenii ( Masoud et al, 2021 ). Masoud and Jakobsen (2005) compared the growth of D. hansenii at 10°C–25°C and reported that its growth increases with the increase in temperature.…”
Section: Resultsmentioning
confidence: 99%