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一种通过高效液相色谱法测定棉籽、棉籽粕和棉籽油(陆地棉)中环丙烯脂肪酸的定量方法。

A quantitative method for the determination of cyclopropenoid fatty acids in cottonseed, cottonseed meal, and cottonseed oil (Gossypium hirsutum) by high-performance liquid chromatography.

作者信息

Obert Janet C, Hughes Donald, Sorenson Wendy R, McCann Melinda, Ridley William P

机构信息

Monsanto Company, 800 North Lindbergh Boulevard, St. Louis, Missouri 63167, USA.

出版信息

J Agric Food Chem. 2007 Mar 21;55(6):2062-7. doi: 10.1021/jf0617871. Epub 2007 Feb 27.

DOI:10.1021/jf0617871
PMID:17323967
Abstract

Cyclopropenoid fatty acids (CPFAs), found in cottonseed, have been shown to have detrimental health effects to susceptible livestock. Previous quantitative analytical methods for the determination of CPFAs expressed these acids in terms of their relative abundance with respect to other fatty acids in the oil, necessitating the concurrent analysis of other fatty acids. The proposed analytical method describes the quantitation of three relevant CPFAs for cotton (malvalic acid, sterculic acid, and dihydrosterculic acid) in cottonseed in micrograms per gram fresh weight of sample. The method involves extraction of the oil, saponification, and derivatization of the free fatty acids with 2-bromoacetophenone to give the phenacyl esters. These esters are then separated by dual-column reverse-phase high-performance liquid chromatography and quantitated via external standards. This is the first method to include external calibration standards for CPFAs and, as such, is capable of direct quantification with no further data conversion required. CPFA data generated from the analysis of cottonseed, cottonseed meal, and cottonseed oil produced in the United States in 2002 are presented.

摘要

在棉籽中发现的环丙烯脂肪酸(CPFAs)已被证明会对易感家畜产生有害的健康影响。以前用于测定CPFAs的定量分析方法是根据这些酸相对于油中其他脂肪酸的相对丰度来表示的,因此需要同时分析其他脂肪酸。所提出的分析方法描述了以每克样品鲜重中微克数来定量棉籽中三种相关的棉籽CPFAs(苹婆酸、硬脂酸和二氢硬脂酸)。该方法包括油的提取、皂化以及游离脂肪酸与2-溴苯乙酮的衍生化反应,以生成苯甲酰酯。然后通过双柱反相高效液相色谱法分离这些酯,并通过外标进行定量。这是第一种包含CPFAs外标校准标准的方法,因此能够直接定量,无需进一步的数据转换。文中还展示了2002年对美国生产的棉籽、棉籽粕和棉籽油分析所产生的CPFA数据。

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