Growth simulation of Pseudomonas fluorescens in pork using hyperspectral imaging

Binjing Zhou; Xia Fan; Jin Song; Juqing Wu; Leiqing Pan; Kang Tu; Jing Peng; Qingli Dong; Jing Xu; Jie Wu

doi:10.1016/j.meatsci.2022.108767

Growth simulation of Pseudomonas fluorescens in pork using hyperspectral imaging

Meat Sci. 2022 Jun:188:108767. doi: 10.1016/j.meatsci.2022.108767. Epub 2022 Feb 16.

Authors

Binjing Zhou¹, Xia Fan¹, Jin Song², Juqing Wu¹, Leiqing Pan³, Kang Tu¹, Jing Peng¹, Qingli Dong⁴, Jing Xu⁵, Jie Wu⁶

Affiliations

¹ College of Food Science and Technology, Nanjing Agricultural University, No. 1, Weigang Road, Nanjing, Jiangsu 210095, PR China.
² College of Artificial Intelligence, Nanjing Agricultural University, No. 40, Dianjiangtai Road, Nanjing, Jiangsu, 210095, PR China.
³ College of Food Science and Technology, Nanjing Agricultural University, No. 1, Weigang Road, Nanjing, Jiangsu 210095, PR China. Electronic address: pan_leiqing@njau.edu.cn.
⁴ School of Health Science and Engineering, University of Shanghai for Science and Technology, No. 516, Jungong Road, Shanghai 200093, PR China.
⁵ School of Food and Biological Engineering, Bengbu University, No. 1866, Caoshan Road, Bengbu 233030, PR China.
⁶ School of Food and Biological Engineering, Bengbu University, No. 1866, Caoshan Road, Bengbu 233030, PR China. Electronic address: wj@bbc.edu.cn.

PMID: 35228138
DOI: 10.1016/j.meatsci.2022.108767

Abstract

Hyperspectral imaging (HSI) is a promising technique that can replace the time-consuming and destructive plate count method. In this study, growth models of Pseudomonas fluorescens (P. fluorescens) in pork using the plate count method and HSI were established. Hyperspectral information extracted by three different methods was used for the growth simulation of P. fluorescens. The Baranyi model in combination with the Ratkowsky square-root model (BRSR model) and the Huang model in combination with the Ratkowsky square-root model (HRSR model) for P. fluorescens in pork were directly constructed using a one-step method. Results showed that the correlation coefficients between the growth models established using HSI and the plate count method were high, ranging from 0.952-0.999. The adjusted coefficient of determination (R_a²) of simulation models reached 0.974, and the growth parameters obtained were consistent with those obtained using the plate count method. This study demonstrated that HSI may be potentially used as a new predictive microbial modeling technique in the future.

Keywords: Hyperspectral imaging; Pork; Predictive microbiology; Pseudomonas fluorescens.

MeSH terms

Animals
Food Microbiology
Hyperspectral Imaging
Pork Meat*
Pseudomonas fluorescens*
Red Meat*
Swine