« Previous AbstractNeonatal hyperthyroidism disrupts hippocampal LTP and spatial learning    Next AbstractEvaluation of aminolysis of anilinothiazolinones to phenylthiocarbamoyl amino acid methyl amides as an alternative conversion method in protein sequencing »

Meat Sci

Title:		Microbiological assessment of aerobically stored horse fillets through predictive microbiology and metabolomic approach
Author(s):		Pavlidis DE; Mallouchos A; Nychas GJ;
Address:		"Laboratory of Microbiology and Biotechnology of Foods, Greece. Laboratory of Food Chemistry, Department of Food Science and Human Nutrition, School of Food and Nutritional Sciences, Agricultural University of Athens, IeraOdos 75, Athens 11855, Greece. Laboratory of Microbiology and Biotechnology of Foods, Greece. Electronic address: gjn@aua.gr"
Journal Title:		Meat Sci
Year:		2021
Volume:		20200928
Issue:
Page Number:		108323 -
DOI:		10.1016/j.meatsci.2020.108323
ISSN/ISBN:		1873-4138 (Electronic) 0309-1740 (Linking)
Abstract:		"The aim of this work was to investigate the microbial association of horse fillets during aerobic storage at isothermal conditions (0-15 degrees C). Samples were analyzed microbiologically, and in parallel the metabolic profile of the samples was quantified by HS-SPME/GC-MS and HPLC-PDA-RI. Considering HPLC results, the concentration of propionic, formic, lactic and succinic acids decreased during aerobic storage of horse fillets, contrary to acetic, citric, butyric and isobutyric acids, which increased. As far as the volatilome formation during aerobic storage is concerned, pentanal, hexanal, octanal, nonanal, decanal, were correlated with fresh samples, while diacetyl, acetoin, 2-heptanone, 2-octanone, hexanoic acid, 3-methyl-butanol, 2-methy-butanol and 3-methyl-butanal detected in spoiled ones. Herein, a support vector machine regression model using data from 0, 5 and 15 degrees C predicted the responses of the dataset at 10 degrees C with a correlation coefficient 0.915 and 0.910 for training and testing, respectively"
Keywords:		Animals *Food Microbiology Food Storage/*methods Horses Metabolome Microbiota Red Meat/analysis/*microbiology Volatile Organic Compounds/analysis Horsemeat spoilage Machine learning Metabolomics Microbial association Predictive microbiology Shelf-life;
Notes:		"MedlinePavlidis, Dimitrios E Mallouchos, Athanasios Nychas, George John eng England 2020/10/09 Meat Sci. 2021 Feb; 172:108323. doi: 10.1016/j.meatsci.2020.108323. Epub 2020 Sep 28"