Analysis of Dominant Spoilage Bacteria in Beijing Sausages

Wenhui Liang, Fang Wang, Ting Li, Jiayun Kang, Yu Hao, Siyu Shi, Jinghua Qi, Jinghua Qi

2022

Abstract

Low temperature-heated meat products, which are popular among consumers because of their unique flavor, texture, and nutrition, have a relatively short shelf life due to the low sterilization temperature and are therefore prone to spoilage. The profile of bacteria associated with spoilage of Beijing sausages is here summarized through isolation, identification and spoilage microflora analysis. The main spoilage bacteria isolated and identified from Beijing sausages were one genus of Pseudomonas sp., one genus of Staphylococcus sp. and two genera of Brochothrix sp. By denaturing gradient gel electrophoresis (PCR-DGGE) analysis, we identified 13 spoilage bacteria of Beijing sausages, of which Pseudomonas sp. was the most abundant.

Download


Paper Citation


in Harvard Style

Liang W., Wang F., Li T., Kang J., Hao Y., Shi S. and Qi J. (2022). Analysis of Dominant Spoilage Bacteria in Beijing Sausages. In Proceedings of the 4th International Conference on Biomedical Engineering and Bioinformatics - Volume 1: ICBEB, ISBN 978-989-758-595-1, pages 84-88. DOI: 10.5220/0011182900003443


in Bibtex Style

@conference{icbeb22,
author={Wenhui Liang and Fang Wang and Ting Li and Jiayun Kang and Yu Hao and Siyu Shi and Jinghua Qi},
title={Analysis of Dominant Spoilage Bacteria in Beijing Sausages},
booktitle={Proceedings of the 4th International Conference on Biomedical Engineering and Bioinformatics - Volume 1: ICBEB,},
year={2022},
pages={84-88},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011182900003443},
isbn={978-989-758-595-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Biomedical Engineering and Bioinformatics - Volume 1: ICBEB,
TI - Analysis of Dominant Spoilage Bacteria in Beijing Sausages
SN - 978-989-758-595-1
AU - Liang W.
AU - Wang F.
AU - Li T.
AU - Kang J.
AU - Hao Y.
AU - Shi S.
AU - Qi J.
PY - 2022
SP - 84
EP - 88
DO - 10.5220/0011182900003443