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植物油中生育酚的分析策略:提取与检测进展

Analytical Strategies for Tocopherols in Vegetable Oils: Advances in Extraction and Detection.

作者信息

Liu Yingfei, Lv Mengyuan, Wang Yuyang, Wei Jinchao, Chen Di

机构信息

Zhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China.

Macau Centre for Research and Development in Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR 999078, China.

出版信息

Pharmaceuticals (Basel). 2025 Jul 30;18(8):1137. doi: 10.3390/ph18081137.

Abstract

Tocopherols, major lipid-soluble components of vitamin E, are essential natural products with significant nutritional and pharmacological value. Their structural diversity and uneven distribution across vegetable oils require accurate analytical strategies for compositional profiling, quality control, and authenticity verification, amid concerns over food fraud and regulatory demands. Analytical challenges, such as matrix effects in complex oils and the cost trade-offs of green extraction methods, complicate these processes. This review examines recent advances in tocopherol analysis, focusing on extraction and detection techniques. Green methods like supercritical fluid extraction and deep eutectic solvents offer selectivity and sustainability, though they are costlier than traditional approaches. On the analytical side, hyphenated techniques such as supercritical fluid chromatography-mass spectrometry (SFC-MS) achieve detection limits as low as 0.05 ng/mL, improving sensitivity in complex matrices. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) provides robust analysis, while spectroscopic and electrochemical sensors offer rapid, cost-effective alternatives for high-throughput screening. The integration of chemometric tools and miniaturized systems supports scalable workflows. Looking ahead, the incorporation of Artificial Intelligence (AI) in oil authentication has the potential to enhance the accuracy and efficiency of future analyses. These innovations could improve our understanding of tocopherol compositions in vegetable oils, supporting more reliable assessments of nutritional value and product authenticity.

摘要

生育酚是维生素E的主要脂溶性成分,是具有重要营养和药理价值的必需天然产物。鉴于对食品欺诈的担忧和监管要求,它们在植物油中的结构多样性和分布不均需要精确的分析策略来进行成分分析、质量控制和真伪验证。复杂油脂中的基质效应以及绿色提取方法的成本权衡等分析挑战使这些过程变得复杂。本综述考察了生育酚分析的最新进展,重点关注提取和检测技术。超临界流体萃取和深共熔溶剂等绿色方法具有选择性和可持续性,尽管它们比传统方法成本更高。在分析方面,超临界流体色谱-质谱联用(SFC-MS)等联用技术的检测限低至0.05 ng/mL,提高了在复杂基质中的灵敏度。液相色谱-串联质谱(LC-MS/MS)提供了可靠的分析,而光谱和电化学传感器为高通量筛选提供了快速、经济高效的替代方法。化学计量工具和小型化系统的整合支持可扩展的工作流程。展望未来,将人工智能(AI)纳入油脂鉴定有可能提高未来分析的准确性和效率。这些创新可以增进我们对植物油中生育酚成分的理解,支持对营养价值和产品真伪进行更可靠的评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc60/12389460/83563d3f2359/pharmaceuticals-18-01137-g001.jpg

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