Malaysian Applied Biology Journal

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48_04_19

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Malays. Appl. Biol. (2019) 48(4): 147–152

 

THERMAL DEATH EVALUATION OF MULTI-STRAINS

PROBIOTIC INOCULANT FOR SHELF-LIFE PREDICTION


THANYARAT NAKSING1, PRATCHAYA HATAWEE1, APINAN WANLAPA2, KITTIKOON TORPOL1,

CHIU-HSIA CHIU3, JANTIMA TEEKA1,4 and ATSADAWUT AREESIRISUK1,4*


1Division of Biology, Faculty of Science and Technology, Rajamangala University of Technology

Thanyaburi, Pathum Thani 12110, Thailand

2Department of Agricultural Engineering, Faculty of Engineering Rajamangala University of Technology

Thanyaburi, Pathum Thani 12110, Thailand

3Department of Food Science, National Pingtung University of Science and Technology,

Pingtung County 91201, Taiwan

4Center of Excellence in Nano-Biotechnology, Faculty of Science and Technology,

Rajamangala University of Technology Thanyaburi, Pathum Thani 12110, Thailand

*E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it


Accepted 23 October 2019, Published online 30 November 2019

 

ABSTRACT

This study aimed to determine the thermal death kinetic of Lactobacillus plantarum 7-40, Bacillus subtilis E20, and Saccharomyces cerevisiae P13 contained in probiotic product and to study the relation of specific death rate (kd) and temperature following the Arrhenius equation for shelf-life prediction. The result showed that the viability of probiotic strains was differently affected by storage temperature. The B. subtilis E20 could survival more than L. plantarum 7-40 and S. cerevisiae P13 under high storage temperature. It was also found that the lowest kd was provided by B. subtilis. This result demonstrated that the B. subtilis was more stable than L. plantarum and S. cerevisiae during keeping under high-temperature warehouse. Thereby, the storage temperature of the multi-strains probiotics inoculant should be considered carefully. Also, the natural logarithm of kd was well related to the storage temperature as the Arrhenius equation. The Arrhenius model could be applied for predicting the shelf-life of probiotic inoculant as well. This study could be used for managing the stock of a multi-strains probiotic product in the high-temperature warehouse.


Key words: Arrhenius equation, probiotic, shelf-life prediction, thermal death

 

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