A simplified method for analysis of polyunsaturated fatty acids.
A simplified method for analysis of polyunsaturated fatty acids.
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DOI：
10.1186/1471-2091-6-5
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发表时间：
2005-03-24
期刊：
影响因子：
--
通讯作者：
Wang J
中科院分区：
文献类型：
--
作者：
Kang JX;Wang J
分析生物材料的脂肪酸组成是脂类研究中的一项常见任务。常规地，通过气相色谱法制备用于脂肪酸分析的样品涉及两个单独的程序：脂质提取和甲基化。这种常规方法复杂、繁琐且耗时。发展一种快速简便的血脂分析方法是必要的。我们简化了传统的方法，将提取和甲基化合并为一个步骤（省略了先前的提取步骤）。各种生物样品，包括培养细胞，动物组织和人体标本已使用新方法进行了测试。统计分析表明，简化方法对组织样品中长链脂肪酸的回收率显著高于传统方法，但两种方法的相对脂肪酸组成无差异。这种简化的方法可以大大节省时间和材料，并减少样品损失和污染的可能性。在不影响长链（≥ 18 C）脂肪酸及其组成的回收率的情况下，可以省略脂质分析中常规使用的甲基化前的脂质提取程序。该简化方法快速、简便，适用于各种生物样品中总长链多不饱和脂肪酸（如n-6和n-3脂肪酸）含量的分析，特别是当待分析的样品数量较多和/或样本量较小时。
Analysis of fatty acid composition of biological materials is a common task in lipid research. Conventionally, preparation of samples for fatty acid analysis by gas chromatography involves two separate procedures: lipid extraction and methylation. This conventional method is complicated, tedious and time consuming. Development of a rapid and simple method for lipid analysis is warranted. We simplified the conventional method by combining the extraction and methylation into a single step (omitting the procedure of prior extraction). Various biological samples including cultured cells, animal tissues and human specimens have been tested using the new method. Statistical analysis indicates that the recovery of long chain fatty acids from tissue samples by the simplified method is significantly higher than that by the traditional method, but there is no difference in relative fatty acid composition between the two methods. This simplified method can significantly save time and materials, and reduce the potentials of sample loss and contamination. The lipid extraction procedure prior to methylation employed conventionally in lipid analysis can be omitted without affecting the recovery of long chain (≥ 18 C) fatty acids and their composition. The simplified method is rapid, easy-to-use, suitable for analysis of total long chain polyunsaturated fatty acid contents (e.g. n-6 and n-3 fatty acids) in various biological samples, especially when the number of samples to be analyzed is large and/or the specimen size is small.
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影响因子：
--
作者：
Kang JX;Wang J
通讯作者：
Wang J
影响因子：
5.1
作者：
Harris, WS;von Schacky, C
通讯作者：
von Schacky, C
DOI：
10.1016/0005-2760(92)90317-o
发表时间：
1992-10-30
期刊：
BIOCHIMICA ET BIOPHYSICA ACTA
影响因子：
--
作者：
KANG, JX;MAN, SFP;CLANDININ, MT
通讯作者：
CLANDININ, MT
影响因子：
1.9
作者：
Salem, N;Reyzer, M;Karanian, J
通讯作者：
Karanian, J
影响因子：
2.1
作者：
CLANDININ, MT;FIELD, CJ;ZSIGMOND, E
通讯作者：
ZSIGMOND, E