Quantitative Prediction and Kinetic Modelling for the Thermal Inactivation of Brochothrix thermosphacta in Beef Using Hyperspectral Imaging

In this work, the feasibility of simulating the thermal inactivation of Brochothrix thermosphacta in beef during heating processing based on hyperspectral imaging (HSI) in the wavelength range of 400–1000 nm was investigated. The Weibull and modified Gompertz kinetic models for the thermal inactivat...

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Detalhes bibliográficos
Autores: Qinglin Li, García-Martín, Juan Francisco, Fangchen Ding, Kang Tu, Weijie Lan, Changbo Tang, Xiaohua Liu, Leiqing Pan
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Recursos:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/176505
Acesso em linha:https://hdl.handle.net/11441/176505
https://doi.org/10.3390/foods14162778
Access Level:acceso abierto
Palavra-chave:Beef
Brochothrix thermosphacta
Hyperspectral imaging
Quantitative prediction
Thermal inactivation kinetics
Descrição
Resumo:In this work, the feasibility of simulating the thermal inactivation of Brochothrix thermosphacta in beef during heating processing based on hyperspectral imaging (HSI) in the wavelength range of 400–1000 nm was investigated. The Weibull and modified Gompertz kinetic models for the thermal inactivation of B. thermosphacta in beef heated in the range 40–60 °C were developed based on the full wavelength, featured spectral variables, and their principal component scores of HSI information, respectively. Notably, the specific wavebands at 412 nm and 735 nm showed a strong correlation with the surviving B. thermosphacta population during the beef heating process. The partial least squares regression models had a satisfactory ability in quantifying B. thermosphacta in beef, with an Rv2 and RMSE of 0.826 and 0.341 log CFU/g, respectively. Furthermore, the Weibull model coupled with the HSI at 735 nm was suitable for kinetic modeling of the thermal inactivation of B. thermosphacta in beef, with an R2 value of 0.937. Consequently, this work suggests the potential of the HSI technique for quantifying and monitoring microbes in meat during heating and can be applied for the thermal inactivation kinetic modeling of microorganisms.