光谱与智能传感技术在植物油掺伪鉴别中应用的研究进展

Research progress on the application of spectroscopy and intelligent sensing technology in identification of vegetable oil adulteration

中文关键词:  植物油  光谱分析  智能传感  化学计量学  掺伪鉴别

英文关键词:vegetable oil  spectroscopic analysis  intelligent sensing  chemometrics  adulteration identification

中文摘要:

      植物油是人类膳食中单不饱和脂肪酸和多不饱和脂肪酸的主要来源, 在维持机体健康和营养平衡中发挥着关键作用。由于不同植物油之间存在显著的经济价值差异, 掺伪行为在生产与流通环节中频繁发生, 严重威胁食品安全与消费者权益。近年来, 光谱分析与智能传感检测因具备快速、无损、高灵敏等优势, 逐渐成为植物油真实性鉴别的重要研究方向。本文系统综述了近红外光谱、傅里叶红外光谱、高光谱成像、拉曼光谱以及荧光光谱技术在植物油掺伪检测中的研究进展。同时, 总结了光/电化学生物传感器、电子鼻系统以及基于智能手机的检测设备等智能传感检测技术的发展现状; 探讨了两者与化学计量学结合, 在掺假筛查和预测中的应用现状。本文旨在为基于光谱与智能传感技术的植物油真实性快速、智能检测研究提供科学参考与数据支撑。

英文摘要:

      Vegetable oils are the primary dietary sources of monounsaturated and polyunsaturated fatty acids in human diets, playing a crucial role in maintaining human health and nutritional balance. Owing to the substantial economic disparities among different types of vegetable oils, adulteration events frequently occur during production and distribution, posing serious threats to food safety and consumer rights. In recent years, spectroscopic analysis and intelligent sensing technologies have attracted increasing attention for the authenticity identification of vegetable oils due to the advantages of rapidity, non-destructiveness and high sensitivity. This review systematically summarized the research progress of near-infrared spectroscopy, Fourier-transform infrared spectroscopy, hyperspectral imaging, Raman spectroscopy and fluorescence spectroscopy in the detection of vegetable oil adulteration. Meanwhile, this paper comprehensively reviewed the development of intelligent sensing technologies, such as optical and electrochemical biosensors, electronic nose systems and smartphone-based detection devices, discussed the integration of these techniques with chemometrics for adulteration screening and prediction. This review aims to provide scientific references and data support for the development of rapid and intelligent detection strategies for the authenticity evaluation of vegetable oils based on spectroscopic and intelligent sensing technologies.