Article (Scientific journals)
Large-scale multivariate dataset on the characterization of microbiota diversity, microbial growth dynamics, metabolic spoilage volatilome and sensorial profiles of two industrially produced meat products subjected to changes in lactate concentration and packaging atmosphere.
Poirier, Simon; Martin Luong, Ngoc-Du; Anthoine, Valérie et al.
2020In Data in Brief
Peer Reviewed verified by ORBi
 

Files


Full Text
DIB_Meat_products_2020.pdf
Publisher postprint (568.43 kB)
Download

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Meat spoilage; Meat products; Food microbiota; volatile; Packaging; Microbial ecology; Metabolomic; Metagenetic
Abstract :
[en] Data in this article provide detailed information on the diversity of bacterial communities present on 576 samples of raw pork or poultry sausages produced industrially in 2017. Bacterial growth dynamics and diversity were monitored throughout the refrigerated storage period to estimate the impact of packaging atmosphere and the use of potassium lactate as chemical preservative. The data include several types of analysis aiming at providing a comprehensive microbial ecology of spoilage during storage and how the process parameters do influence this phenomenon. The analysis includes: the gas content in packaging, pH, chromametric measurements, plate counts (total mesophilic aerobic flora and lactic acid bacteria), sensorial properties of the products, meta-metabolomic quantification of volatile organic compounds and bacterial community metagenetic analysis. Bacterial diversity was monitored using two types of amplicon sequencing (16S rRNA and GyrB encoding genes) at different time points for the different conditions (576 samples for gyrB and 436 samples for 16S rDNA). Sequencing data were generated by using Illumina MiSeq. The sequencing data have been deposited in the bioproject PRJNA522361. Samples accession numbers vary from SAMN10964863 to SAMN10965438 for gyrB amplicon and from SAMN10970131 to SAMN10970566 for 16S rDNA amplicon.
Disciplines :
Food science
Author, co-author :
Poirier, Simon
Martin Luong, Ngoc-Du
Anthoine, Valérie
Guillou, Sandrine
Membré, Jeanne-Marie
Moriceau, Nicolas
Rezé, Sandrine
Zogorec, Monique
Feurer, Carole
Frémaux, Bastien
Jeuge, Sabine
Robieu, Emeline
Champomier-Vergès, Marie
Coeuret, Gwendoline
Cauchie, Emilie ;  Université de Liège - ULiège > Département de sciences des denrées alimentaires (DDA) > Analyse des denrées alimentaires
Daube, Georges  ;  Université de Liège - ULiège > Département de sciences des denrées alimentaires (DDA) > Microbiologie des denrées alimentaires
Korsak Koulagenko, Nicolas ;  Université de Liège - ULiège > Département de sciences des denrées alimentaires (DDA) > Département de sciences des denrées alimentaires (DDA)
Coroller, Louis
Desriac, Noémie
Desmonts, Marie-Hélène
Gohier, Rodérick
Werner, Dalal
Loux, Valentin
Rué, Olivier
Dohollou, Marie-Hélène
Defosse, Tatiana
Chaillou, Stéphane
More authors (17 more) Less
Language :
English
Title :
Large-scale multivariate dataset on the characterization of microbiota diversity, microbial growth dynamics, metabolic spoilage volatilome and sensorial profiles of two industrially produced meat products subjected to changes in lactate concentration and packaging atmosphere.
Publication date :
2020
Journal title :
Data in Brief
eISSN :
2352-3409
Publisher :
Elsevier, New York, United States - New York
Peer reviewed :
Peer Reviewed verified by ORBi
Name of the research project :
REDLOSSES
Funders :
ANR - Agence Nationale de la Recherche [FR]
Available on ORBi :
since 20 April 2020

Statistics


Number of views
59 (5 by ULiège)
Number of downloads
61 (3 by ULiège)

Scopus citations®
 
8
Scopus citations®
without self-citations
3
OpenCitations
 
7

Bibliography


Similar publications



Contact ORBi