Hyperspectral imaging for one-step growth simulation of Brochothrix thermosphacta in chilled beef during storage
摘要In this work,one-step growth models using hyperspectral imaging(HSI)(400-1 000 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(R2v)and root mean square error in internal validation(RMSEV)of 0.921 and 0.498(lg(CFU/g)).The Tmin(-12.32 ℃)andμmaxcan be well estimated with R2 and root mean square error(RMSE)of 0.971 and 0.276(lg(CFU/g)),respectively.The upward trend ofμmaxwith 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.
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