AUTHOR=Li Cuiqin , He Laping , Hu Yuedan , Liu Hanyu , Wang Xiao , Chen Li , Zeng Xuefeng 

TITLE=Dimensional Analysis Model Predicting the Number of Food Microorganisms

JOURNAL=Frontiers in Microbiology

VOLUME=Volume 13 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2022.820539

DOI=10.3389/fmicb.2022.820539

ISSN=1664-302X

ABSTRACT=<p>Predicting the number of microorganisms has excellent application in the food industry. It helps in predicting and managing the storage time and food safety. This study aimed to establish a new, simple, and effective model for predicting the number of microorganisms. The dimensional analysis model (DAM) was established based on dimensionless analysis and the Pi theorem. It was then applied to predict the number of <italic>Pseudomonas</italic> in Niuganba (NGB), a traditional Chinese fermented dry-cured beef, which was prepared and stored at 278 K, 283 K, and 288 K. Finally, the internal and external validation of the DAM was performed using six parameters including <italic>R</italic><sup>2</sup>, <italic>R</italic><sup>2</sup><sub><italic>adj</italic></sub>, root mean square error (RMSE), standard error of prediction (%SEP), <italic>A</italic><sub><italic>f</italic></sub>, and <italic>B</italic><sub><italic>f</italic></sub>. High <italic>R</italic><sup>2</sup> and <italic>R</italic><sup>2</sup><sub><italic>adj</italic></sub> and low RMSE and %SEP values indicated that the DAM had high accuracy in predicting the number of microorganisms and the storage time of NGB samples. Both <italic>A</italic><sub><italic>f</italic></sub> and <italic>B</italic><sub><italic>f</italic></sub> values were close to 1. The correlation between the observed and predicted numbers of <italic>Pseudomonas</italic> was high. The study showed that the DAM was a simple, unified and effective model to predict the number of microorganisms and storage time.</p>