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与DSSM集成的拉曼光谱,用于在油炸油中动态跟踪功能组演变:在脂质氧化监测中的方法突破

Yisheng Hua¹, Yanping Xu², Junjie Yao³

¹School of Science, Jiangnan University, Wuxi, 214122, China; College of Physics and Technology, Guangxi Normal University & University Engineering Research Center of Advanced Functional Materials and Intelligent Sensing, Guangxi, 541004, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, 214122, China.

|March 6, 2026

概括

拉曼光谱和一种新的DSSM方法跟踪了在油炸过程中亚麻油中的功能组变化. 这为工业监测提供了对石油氧化和质量退化的洞察力.

科学领域:

食品化学食品化学
频谱学是一种光谱学.
化学分析化学分析

背景情况:

亚麻油在过程中由于热和氧化而经历了显著的化学变化.
了解这些转变对于评估石油质量和安全至关重要.
目前用于监测油炸油降解的方法可能耗时或缺乏灵敏度.

研究的目的:

用拉曼光谱学研究在各种油炸条件下在亚麻油中的动态功能组转换.
开发和验证用于实时监测油氧化的新型分析方法.
为评估油炸油的质量退化提供光谱证据.

主要方法:

拉曼光谱学与特征-峰值强度比率分析相结合.
开发和应用一种新的差异光谱统计映射 (DSSM) 方法.
亚麻油经过100-185°C的温度和1-5次油炸周期的分析.

主要成果:

多种线性回归模型显示不同峰值强度比率之间的高相关性 (R2=0.93-0.94),将跨环素 (trans-CC) 变化与 cis-环素 (cis-CC) 和甲 (CH2) 变化联系起来.
DSSM成功地识别和可视化了隐藏的氧化特征的演变,例如环氧基和结合三烯.
光谱数据为评估油炸油的质量退化提供了关键证据.

结论:

这项研究证明了拉曼光谱和DSSM的有效性,用于阐明炸油中的动态功能组变化.
这些发现为实时,快速监测炸油质量提供了理论支持.
这项研究是迈向使用拉曼光谱的工业级实时监测应用的重要一步.

关键词:

标志性-峰值-强度比率.差异光谱统计映射的差异.亚麻油亚麻油是一种函数组是指功能组中的函数组.拉曼光谱法拉曼光谱法

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