优化QuEChERS清理方法,通过UHPLC-MS/MS对植物油中的γ-oryzanol进行量化测量
Shaowei Li1,2, Yuting Yuan1, Liangxiao Zhang1,2
1Key Laboratory of Biology and Genetic Improvement of Oil Crops, Laboratory of Risk Assessment for Oilseed Products (Wuhan), Quality Inspection and Test Center for Oilseed Products, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China.
Food chemistry: X
|June 14, 2024
概括
这项研究引入了QuEChERS快速清理方法与UHPLC-MS/MS相结合,用于分析植物油中的玛-瑞醇化合物. 优化的技术有效量化了这些有益的化合物,有助于评估石油质量.
科学领域:
- 分析化学 分析化学
- 食品科学 食品科学 食品科学
- 生物化学 生物化学
背景情况:
- 玛-瑞醇化合物是植物油中发现的有价值的营养和功能物质.
- 准确确定玛-瑞醇对于评估植物油质量和健康益处至关重要.
- 现有的玛-瑞醇分析方法可能耗时且需要复杂的程序.
研究的目的:
- 开发和验证一种快速有效的方法来确定植物油中的玛-瑞醇化合物.
- 为了优化样品的准备和染色分离,以实现准确的量化.
- 为了评估各种植物油中特定的玛-瑞醇化合物的含量.
主要方法:
- 使用快速,轻松,廉价,有效,坚固和安全 (QuEChERS) 提取技术进行样本清理.
- 采用超高性能液体染色学与并联质谱学 (UHPLC-MS/MS) 进行敏感的检测和量化.
- 优化了QuEChERS和UHPLC-MS/MS的关键参数,以提高净化和检测效率.
主要成果:
- 实现了在10分钟内完成的快速样品预处理程序,最大限度地减少了溶剂使用和设备复杂性.
- 已建立的低检测极限 (0.10.3 μg kg-1) 和定量 (0.41.0 μg kg-1) 对于玛-瑞醇化合物.
- 经验证的方法证明了令人满意的恢复 (72.2%101.3%) 和高精度 (一天内和一天内<10.6%).
- 识别了大米油和玉米油作为特定玛-瑞醇化合物的丰富来源,包括24-m咖啡酸酸 (24-mCAF),咖啡酸 (CAF),β-sitosteryl酸 (β-SIF),campesteryl酸 (CMF) 和stigmasteryl酸 (STF).
结论:
- 开发的QuEChERS-UHPLC-MS/MS方法提供了一种快速,高效和可靠的方法,用于同时量化植物油中的多种玛-瑞醇化合物.
- 该方法有助于评估植物油的营养和功能性质.
- 这些发现强调了大米和玉米油作为有益的玛-瑞醇化合物的重要来源的潜力.
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