采用基于香烟过滤纤维的固相萃取结合超高效液相色谱-串联质谱法对冷榨亚麻籽油中的生氰糖苷进行高灵敏度分析。

Highly sensitive analysis of cyanogenic glycosides in cold-pressed flaxseed oil by employing cigarette filter fiber-based SPE coupled with ultra-performance liquid chromatography-tandem mass spectrometry.

机构信息

Department of Chemistry, Wuhan University, Wuhan 430072, PR China.

Clinical Trial Center of Zhongnan Hospital, Wuhan University, Wuhan 430071, PR China.

出版信息

Food Chem. 2022 May 30;377:131962. doi: 10.1016/j.foodchem.2021.131962. Epub 2021 Dec 29.

DOI:10.1016/j.foodchem.2021.131962

PMID:34990955

Abstract

In this study, a highly sensitive method for analysis of 4 cyanogenic glycosides (CNGs) in cold-pressed flaxseed oil was developed by using cigarette filter fiber-based SPE and ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). The cold-pressed flaxseed oil was diluted with 5% (v/v) isopropanol/n-hexane solution and loaded to a cigarette filters fiber-based SPE column for CNG enrichment and purification. Under optimized conditions, four CNGs could be detected with limits of detection ranging from 1.3 to 4.4 pg/mL. The linear range was 0.05-50 ng/ml with a linear correlation coefficient (r) > 0.9935. CNG recovery ranged from 113% to 133%, and the relative standard deviation was between 0.8% and 20.5%. Finally, the proposed method was applied to the determination of CNGs in nine cold-pressed flaxseed oils.

摘要

本研究采用基于香烟过滤纤维的固相萃取（SPE）和超高效液相色谱-串联质谱法（UPLC-MS/MS），开发了一种用于分析冷榨亚麻籽油中 4 种生氰糖苷（CNGs）的高灵敏度方法。将冷榨亚麻籽油用 5%（v/v）异丙醇/正己烷溶液稀释，加载到基于香烟过滤纤维的 SPE 柱上，用于 CNG 的富集和纯化。在优化条件下，可检测到 4 种 CNGs，检出限范围为 1.3-4.4 pg/mL。线性范围为 0.05-50 ng/ml，线性相关系数（r）>0.9935。CNG 回收率为 113%-133%，相对标准偏差在 0.8%-20.5%之间。最后，该方法应用于测定 9 种冷榨亚麻籽油中的 CNGs。