Liu Huan, Zhu Wenying, Luo Na, Ji Zengtao, Yang Xinting
Research Center of Information Technology, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China; National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China; National Engineering Laboratory for Agri-product Quality Traceability, Beijing 100097, China.
Research Center of Information Technology, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China; National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China; National Engineering Laboratory for Agri-product Quality Traceability, Beijing 100097, China.
Food Chem. 2023 Jan 1;398:133795. doi: 10.1016/j.foodchem.2022.133795. Epub 2022 Jul 26.
This study presents a novel method for predicting the shelf life of pork in real-time based on front-face fluorescence excitation-emission matrices (EEMs). The total viable count (TVC) of bacteria was used as the indicator of microbial spoilage in the pork samples. Modified Gompertz and square root equations were used to establish models for the trends in microbial growth and for predicting the shelf life, the R values of the fitting equation at different temperatures were all greater than 0.95. The fluorescence intensity ratio of oxidation product to tryptophan (F) was highly correlated with the quality deterioration of pork and was therefore used to establish a quantitative model of TVC values by linear regression with R and R values of 0.914 and 0.906, respectively. The mean absolute errors between the remaining shelf life predicted by fluorescence EEMs and the measured values at three storage temperatures were less than 1 day.
本研究提出了一种基于前表面荧光激发 - 发射矩阵（EEMs）实时预测猪肉货架期的新方法。将猪肉样品中细菌的总活菌数（TVC）用作微生物腐败的指标。使用修正的Gompertz方程和平方根方程建立微生物生长趋势模型及预测货架期，不同温度下拟合方程的R值均大于0.95。氧化产物与色氨酸的荧光强度比（F）与猪肉品质劣化高度相关，因此通过线性回归建立了TVC值的定量模型，其R和R值分别为0.914和0.906。在三个储存温度下，荧光EEMs预测的剩余货架期与测量值之间的平均绝对误差小于1天。
