小虾
食物腐败
风味
食品科学
质量(理念)
次黄嘌呤
机器学习
气味
发酵
生物
食品加工中的发酵
人工智能
化学
食品质量
数学
生物技术
肌苷
对虾科
感官的
作者
Wenhui Qu,Qing Kong,Ruoshu Li,Weijia Liu,Wen Yunqi,Changhu Xue
标识
DOI:10.1016/j.fochx.2026.103615
摘要
Developing reduced-salt shrimp sauce has become an inevitable trend, while increases the risk of spoilage during its storage. The current quality control criteria for shrimp sauce fails to provide accurate and holistic quality assessment. The establishment of new quality control standards is need and necessitates clarifying the quality evolution patterns of low-salt shrimp sauce. During storage, pH, total volatile basic nitrogen (TVB-N), histamine, tartaric acid, succinic acid, hypoxanthine and aromatic compounds increased significantly, while total acidity, inosine monophosphate, alcohols, and aldehydes decreased. Correlation analysis and machine learning found that the level of histamine, total acidity and TVB-N could more accurately reflect shrimp sauce spoilage. Moreover, acetic acid and isoleucine were closely associated with flavor deterioration, while nonanal was strongly linked to odor decline. These findings clarified the relationship between physicochemical changes and flavor evolution, providing a foundation for establishing a robust and enhanced quality evaluation system for low-salt shrimp sauce.
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