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Water dynamics and microbial communities of bigeye tuna ( Thunnus obesus ) during simulated cold chain logistics
Journal of Food Safety ( IF 1.9 ) Pub Date : 2020-04-01 , DOI: 10.1111/jfs.12766
Xin‐Yun Wang 1, 2, 3, 4 , Jing Xie 1, 2, 3, 4
Affiliation  

This study investigated changes in the physicochemical indexes, water dynamics, and microbial communities of bigeye tuna (Thunnus obesus) during simulated cold chain logistics. With increasing storage time, the color and water activity decreased gradually, while drip loss gradually increased, and pH increased with a fluctuating pattern. The trend of bound water content was not obvious, trapped water declined, and free water increased with fluctuations over time, according to low‐field nuclear magnetic resonance (LF‐¹H NMR). High‐throughput sequencing results indicated that fluctuating temperatures inhibited Acinetobacter and Pseudomonas and promoted Pelomonas, Psychrobacter, and Shewanella. Principal component analysis and redundancy analysis revealed significantly different microbial community interactions among the four groups, and environmental factors had distinct effects on bacterial community assemblages. LF‐NMR and high‐throughput sequencing can be used to monitor dynamic quality changes in bigeye tuna during simulated cold chain logistics with fluctuating temperatures.

中文翻译:

模拟冷链物流过程中大眼金枪鱼(Thunnus obesus)的水动力学和微生物群落

本研究调查了模拟冷链物流过程中大眼金枪鱼 (Thunnus obesus) 理化指标、水动力学和微生物群落的变化。随着贮藏时间的增加,颜色和水分活度逐渐降低,滴水损失逐渐增加,pH值呈波动上升趋势。根据低场核磁共振(LF-1H NMR),结合水含量趋势不明显,捕获水减少,游离水随时间波动增加。高通量测序结果表明,温度波动对不动杆菌和假单胞菌有抑制作用,而对Pelomonas、Psychrobacter和Shewanella有促进作用。主成分分析和冗余分析揭示了四组之间显着不同的微生物群落相互作用,和环境因素对细菌群落组合有不同的影响。LF-NMR和高通量测序可用于监测温度波动的模拟冷链物流过程中大眼金枪鱼的动态质量变化。
更新日期:2020-04-01
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