Changes in Metabolic Profiles of Yellowtail (Seriola quinqueradiata) Muscle during Cold Storage as a Freshness Evaluation Tool Based on GC-MS Metabolomics
Changes in Metabolic Profiles of Yellowtail (Seriola quinqueradiata) Muscle during Cold Storage as a Freshness Evaluation Tool Based on GC-MS Metabolomics
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DOI：
10.3390/foods8100511
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发表时间：
2019-10-01
期刊：
影响因子：
5.2
通讯作者：
Tanimoto, Shota
中科院分区：
文献类型：
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作者：
Mabuchi, Ryota;Adachi, Miwako;Tanimoto, Shota
将代谢组学应用于黄尾鱼肌肉的新鲜度评价，为鱼肉新鲜度评价提供了一种新的方法。对0 ℃和5 ℃下储存的黄尾鱼普通肌肉和深色肌肉（DM）的代谢产物进行了基于气相色谱-质谱（GC-MS）的初级代谢产物代谢组学研究。对于注释的代谢产物，我们使用储存时间作为y变量，通过正交偏最小二乘分析创建了所有储存条件下储存时间预测的统计学显著性模型。DM很难使用现有的主要新鲜度评价方法K值法进行评价。然而，在所提出的方法中，DM的代谢成分谱根据储存时间而变化。从对预测（VIP）值重要的变量确定的重要代谢物包括各种代谢物，如氨基酸和糖，以及核酸相关物质，尤其是肌苷和次黄嘌呤。因此，代谢组学，综合分析不同分子物种，有潜力作为一种新的新鲜度评价方法，可以客观地评价储存条件的鱼肉。
We applied metabolomics to the evaluation of yellowtail muscle as a new freshness evaluation method for fish meat. Metabolites from yellowtail ordinary and dark muscle (DM) stored at 0 degrees C and 5 degrees C were subjected to metabolomics for primary metabolites based on gas chromatography-mass spectrometry (GC-MS). For the annotated metabolites, we created statistically significant models for storage time prediction for all storage conditions by orthogonal partial least squares analysis, using storage time as the y-variable. DM is difficult to evaluate using the K value method, the predominant existing freshness evaluation method. However, in the proposed method, the metabolic component profiles of DM changed depending on storage time. Important metabolites determined from variables important for prediction (VIP) values included various metabolites, such as amino acids and sugars, in addition to nucleic-acid-related substances, especially inosine and hypoxanthine. Therefore, metabolomics, which comprehensively analyses different molecular species, has potential as a new freshness evaluation method that can objectively evaluate conditions of stored fish meat.