4.7 Article

Effect of abattoir, livestock species and storage temperature on bacterial community dynamics and sensory properties of vacuum packaged red meat

期刊

FOOD MICROBIOLOGY
卷 94, 期 -, 页码 -

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.fm.2020.103648

关键词

Red meat; Abattoir; Bacterial community; Shelf life; Predictive model

资金

  1. Meat & Livestock Australia (MLA)
  2. Australian Meat Processor Corporation (AMPC) [G. MFS.0289]

向作者/读者索取更多资源

Investigated the influence of geographically distant abattoir facilities and storage temperature on the shelf lives of vacuum packaged beef and lamb meat, finding that the pH difference between beef and lamb significantly affects bacterial community diversity, growth rates, and sensory quality deterioration. While different community structures were derived from different abattoir sources, bacterial growth rate and sensory quality deterioration rate were comparable for individual meat types.
Shelf life of red meat is influenced by a number of intrinsic and extrinsic factors making its prediction challenging. Here we investigated the influence of geographically distant abattoir facilities and storage temperature relevant to commercial supply chain on the shelf lives of vacuum packaged (VP) beef and lamb meat. Samples of VP beef and lamb were analysed for surface pH, total viable counts, lactic acid bacterial counts, sensory properties, and associated bacterial community using Illumina MiSeq based 16S rRNA gene amplicon sequencing over a period of >200 days. The consistent 0.41 pH unit difference between beef and lamb was found to have a profound effect on bacterial community diversity and composition, bacterial growth rates and the rate of loss of sensory quality. Though different community structures were derived from different abattoir source, bacterial growth rate and rate of sensory quality deterioration were found to be comparable for individual meat type. The greatest variation in rates was found resulting from storage temperature and livestock species themselves. Our findings indicate that bacterial growth and sensory quality loss are essentially predictable when considering their temperature dependency, however for successful meat export validation of shelf life predictive models is required due to stochastic variation in abattoir seeded bacterial populations.

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