Title (en)
Changes in the microbiota from fresh to spoiled meat, determined by culture and 16S rRNA analysis
Language
English
Description (en)
Growth of meat microbiota usually results in spoilage of meat that can be perceived by consumers due to sensory changes. However, a high bacterial load does not necessarily result in sensory deviation of meat; nevertheless, this meat is considered unfit for human consumption. Therefore, the aims of this study were to investigate changes in the microbiota from fresh to spoiled meat and whether the proportions of certain bacteria can probably be used to indicate the hygiene status of meat. For this purpose, 12 fresh pork samples were divided into two groups, and simultaneously aerobically stored at 4°C and 22°C. At each time-temperature point (fresh meat, days 6, 13, and 20 at 4°C, and days 1, 2, 3, and 6 at 22°C), 12 meat subsamples were investigated. Sequences obtained from next-generation sequencing (NGS) were further analyzed down to species level. Plate counting of six bacterial groups and NGS results showed that Pseudomonas spp. and lactic acid bacteria (LAB) were found in a high proportion in all stored meat samples and can therefore be considered as important "spoilage indicator bacteria". On the contrary, sequences belonging to Staphylococcus epidermidis were found in a relatively high proportion in almost all fresh meat samples but were less common in stored meat. In this context, they can be considered as "hygiene indicator bacteria" of meat. Based on these findings, the proportion of the "hygiene indicator bacteria" in relation to the "spoilage indicator bacteria" was calculated to determine a "hygiene index" of meat. This index has a moderate to strong correlation to bacterial loads obtained from culture (p < 0.05), specifically to Pseudomonas spp., LAB and total viable counts (TVCs). Knowledge of the proportions of hygiene and spoilage indicator bacteria obtained by NGS could help to determine the hygiene status even of (heat-) processed composite meat products for the first time, thus enhancing food quality assurance and consumer protection.
Keywords (en)
Amplicon Sequence Variant (ASV); Hygiene index; Hygiene indicator; Meat microbiota; Meat spoilage; Next -generation sequencing (NGS)
DOI
10.1016/j.jfp.2023.100212
Author of the digital object
Samart Dorn-In  (University of Veterinary Medicine Vienna)
Sirkka Mang  (Ludwig Maximilian University of Munich)
Raúl O. Cosentino  (Ludwig Maximilian University of Munich)
Karin Schwaiger  (University of Veterinary Medicine Vienna)
Format
application/pdf
Size
1.6 MB
Type of publication
Article
Name of Publication (en)
Journal of Food Protection
Pages or Volume
11
Volume
87
Number
2
Publisher
Elsevier
Publication Date
2023