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J Food Sci

Title:		Application of Electronic Nose for Measuring Total Volatile Basic Nitrogen and Total Viable Counts in Packaged Pork During Refrigerated Storage
Author(s):		Li M; Wang H; Sun L; Zhao G; Huang X;
Address:		"Henan Key Lab of Meat Processing and Quality Safety Control, Henan Agricultural Univ, Zhengzhou, 450002, PR China"
Journal Title:		J Food Sci
Year:		2016
Volume:		20160308
Issue:		4
Page Number:		M906 - M912
DOI:		10.1111/1750-3841.13238
ISSN/ISBN:		1750-3841 (Electronic) 0022-1147 (Linking)
Abstract:		"The objective of this study was to predict the total viable counts (TVC) and total volatile basic nitrogen (TVB-N) in pork using an electronic nose (E-nose), and to assess the freshness of chilled pork during storage using different packaging methods, including pallet packaging (PP), vacuum packaging (VP), and modified atmosphere packaging (MAP, 40% O2 /40% CO2 /20% N2 ). Principal component analysis (PCA) was used to analyze the E-nose signals, and the results showed that the relationships between the freshness of chilled pork and E-nose signals could be distinguished in the loadings plots, and the freshness of chilled pork could be distributed along 2 first principal components. Multiple linear regression (MLR) was used to correlate TVC and TVB-N to E-nose signals. High F and R2 values were obtained in the MLR output of TVB-N (F = 32.1, 21.6, and 24.2 for PP [R2 = 0.93], VP [R2 = 0.94], and MAP [R2 = 0.95], respectively) and TVC (F = 34.2, 46.4, and 7.8 for PP [R2 = 0.98], VP [R2 = 0.89], and MAP [R2 = 0.85], respectively). The results of this study suggest that it is possible to use the E-nose technology to predict TVB-N and TVC for assessing the freshness of chilled pork during storage"
Keywords:		"Animals Atmosphere Cold Temperature Colony Count, Microbial *Electronic Nose *Food Microbiology Food Packaging/*methods Food Preservation/*methods Food Storage/methods Nitrogen/*analysis Odorants/analysis Principal Component Analysis Red Meat/*analysis/mi;"
Notes:		"MedlineLi, Miaoyun Wang, Haibiao Sun, Lingxia Zhao, Gaiming Huang, Xianqing eng Research Support, Non-U.S. Gov't 2016/03/10 J Food Sci. 2016 Apr; 81(4):M906-12. doi: 10.1111/1750-3841.13238. Epub 2016 Mar 8"