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Hyperspectral imaging for one-step growth simulation of Brochothrix thermosphacta in chilled beef during storage

Xiaohua Liua, Binjing Zhoua, Jin Songb, Kang Tua, Jing Penga, Weijie Lana(), Jing Xuc, Jie Wuc, Juqing Wua(), Leiqing Pana()
College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210095, China
School of Food and Biological Engineering, Bengbu University, Bengbu 233030, China

Peer review under responsibility of Beijing Academy of Food Sciences.

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Highlights

• One-step growth simulation of B. thermosphacta in beef was performed using HSI.

• Three methods for simulating B. thermosphacta growth by HSI were compared.

• Model Ⅰ using PLSR was best to simulate B. thermosphacta growth (R2 = 0.971).

• HSI and plate count methods were highly consistent in growth simulation.

Abstract

In this work, one-step growth models using hyperspectral imaging (HSI) (400–1000 nm) were successfully developed in order to estimate the microbial loads, minimum growth temperature (Tmin) and maximum specific growth rate (μmax) of Brochothrix thermosphacta in chilled beef at isothermal temperatures (4–25 ℃). Three different methods were compared for model development, particularly using (Model Ⅰ) the predicted microbial loads from partial least squares regression of the whole spectral variables; (Model Ⅱ) the selected spectral variables related to microbial loads; and (Model Ⅲ) the first principal scores of HSI spectra by principal component analysis. Consequently, Model Ⅰ showed the best ability to predict the microbial loads of B. thermosphacta, with the coefficient of determination (Rv2) and root mean square error in internal validation (RMSEV) of 0.921 and 0.498 (lg (CFU/g)). The Tmin (–12.32 ℃) and μmax can be well estimated with R2 and root mean square error (RMSE) of 0.971 and 0.276 (lg (CFU/g)), respectively. The upward trend of μmax with temperature was similar to that of the plate count method. HSI technique thus can be used as a simple method for one-step growth simulation of B. thermosphacta in chilled beef during storage.

Keywords

Brochothrix thermosphactaBeefHyperspectral imagingGrowth simulationOne-step analysisPredictive microbiology

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Food Science and Human Wellness
Volume 14 Issue 1,
January 2025
Article number: 9250016
DOI: 10.26599/FSHW.2024.9250016
Cite this article:
Liu X, Zhou B, Song J, et al. Hyperspectral imaging for one-step growth simulation of Brochothrix thermosphacta in chilled beef during storage. Food Science and Human Wellness, 2025, 14(1): 9250016. https://doi.org/10.26599/FSHW.2024.9250016
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