Effect of temperature fluctuations on large yellow croaker fillets (Larimichthys crocea) in cold chain logistics: A microbiological and metabolomic analysis

IF 5.3 2区 农林科学 Q1 ENGINEERING, CHEMICAL
Bohan Chen , Tiansheng Xu , Qi Yan , Baris Karsli , Dapeng Li , Jing Xie
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Abstract

Currently, aquatic products are mainly transported through cold chain logistics, which has been proven to significantly reduce the deterioration of quality and freshness. This study aimed to investigate the mechanisms of quality deterioration in large yellow croaker fillets under different cold chain conditions, specifically focusing on temperature fluctuations. Quality changes in the fillets were assessed through microbiological indicators and physicochemical properties. High-throughput sequencing was used to identify the microbial community structure, and LC-MS-based untargeted metabolomics identified the distinctive metabolites in the fillets under cold chain conditions. Notably, the group experiencing the greatest temperature fluctuations exhibited the highest pH value (7.15), trichloroacetic acid (TCA)-soluble peptides content (10.57 μmol tyrosine/g), total volatile basic nitrogen (TVB-N) content (34.91 mg N/100 g), and hypoxanthine (Hx) content (4.70 μmol/g), along with the lowest hypoxanthine ribonucleoside (HxR) content (1.67 μmol/g) and water holding capacity (WHC) value (79.22%). High-throughput sequencing results showed that the relative abundance of Aeromonas reached 54.01–56.95% in the temperature fluctuation groups on day 7.5. Additionally, the sharpest decrease in the relative abundance of Shewanella in temperature fluctuations groups was 70.16% lower than in the constant temperature group. Bioinformatics analyses further confirmed that amino acid metabolism was the most affected metabolic pathway due to temperature fluctuations in cold chain logistics. This study provides new insights that can improve the practical implementation of cold chain storage and preservation of fish.

温度波动对冷链物流中大黄鱼鱼片(Larimichthys crocea)的影响:微生物学和代谢组学分析
目前,水产品主要通过冷链物流进行运输,事实证明,冷链物流可显著减少质量和新鲜度的下降。本研究旨在调查大黄鱼片在不同冷链条件下的质量劣变机制,特别关注温度波动。通过微生物指标和理化特性来评估鱼片的质量变化。利用高通量测序确定了微生物群落结构,基于 LC-MS 的非靶向代谢组学确定了冷链条件下鱼片中的独特代谢物。值得注意的是,温度波动最大的一组表现出最高的 pH 值(7.15)、三氯乙酸(TCA)-可溶性肽含量(10.57 μmol 酪氨酸/克)、总挥发性碱氮(TVB-N)含量(34.91 mg N/100 g)和次黄嘌呤(Hx)含量(4.70 μmol/g),以及最低的次黄嘌呤核糖核苷(HxR)含量(1.67 μmol/g)和持水量(WHC)值(79.22%)。高通量测序结果显示,温度波动组在第 7.5 天的气单胞菌相对丰度达到 54.01-56.95%。此外,温度波动组中的雪旺氏菌相对丰度下降幅度最大,比恒温组低 70.16%。生物信息学分析进一步证实,氨基酸代谢是冷链物流中受温度波动影响最大的代谢途径。这项研究提供了新的见解,有助于改进水产品冷链贮藏和保鲜的实际实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Food Engineering
Journal of Food Engineering 工程技术-工程:化工
CiteScore
11.80
自引率
5.50%
发文量
275
审稿时长
24 days
期刊介绍: The journal publishes original research and review papers on any subject at the interface between food and engineering, particularly those of relevance to industry, including: Engineering properties of foods, food physics and physical chemistry; processing, measurement, control, packaging, storage and distribution; engineering aspects of the design and production of novel foods and of food service and catering; design and operation of food processes, plant and equipment; economics of food engineering, including the economics of alternative processes. Accounts of food engineering achievements are of particular value.
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