Department of Chemistry, University of Louisville, Louisville, KY 40208, USA; University of Louisville Alcohol Research Center, University of Louisville, Louisville, KY 40208, USA; University of Louisville Hepatobiology & Toxicology Program, University of Louisville, Louisville, KY 40208, USA; Center for Regulatory and Environmental Analytical Metabolomics, University of Louisville, Louisville, KY 40208, USA.
Department of Chemistry, University of Louisville, Louisville, KY 40208, USA; University of Louisville Alcohol Research Center, University of Louisville, Louisville, KY 40208, USA; University of Louisville Hepatobiology & Toxicology Program, University of Louisville, Louisville, KY 40208, USA; Center for Regulatory and Environmental Analytical Metabolomics, University of Louisville, Louisville, KY 40208, USA.
J Chromatogr B Analyt Technol Biomed Life Sci. 2018 Aug 15;1092:359-367. doi: 10.1016/j.jchromb.2018.06.028. Epub 2018 Jun 18.
Biomedical research in areas such as metabolic disorders, neuromodulatory, and immunomodulatory conditions involves lipid metabolism and demands a reliable and inexpensive method for quantification of short chain fatty acids (SCFAs). We report a GC-MS method for analysis of all straight-chain and branched-chain SCFAs using pentafluorobenzyl bromide (PFBBr) as derivatization reagent. We optimized the derivatization and GC-MS conditions using a mixture containing all eight SCFA standards, i.e., five straight-chain and three branched-chain SCFAs. The optimal derivatization conditions were derivatization time 90 min, temperature 60 °C, pH 7, and (CH)CO:HO ratio 2:1 (v:v). Comparing the performance of different GC column configurations, a 30 m DB-225ms hyphenated with a 30 m DB-5ms column in tandem showed the best separation of SCFAs. Using the optimized experiment conditions, we simultaneously detected all SCFAs with much improved detection limit, 0.244-0.977 μM. We further applied the developed method to measure the SCFAs in mouse feces and all SCFAs were successfully quantified. The recovery rates of the eight SCFAs ranged from 55.7% to 97.9%.
在代谢紊乱、神经调节和免疫调节等领域的生物医学研究中涉及脂质代谢,因此需要一种可靠且廉价的方法来定量分析短链脂肪酸(SCFA)。我们报告了一种使用五氟苄基溴(PFBBr)作为衍生化试剂分析所有直链和支链 SCFA 的 GC-MS 方法。我们使用包含所有八种 SCFA 标准品的混合物(即五种直链和三种支链 SCFA)优化了衍生化和 GC-MS 条件。最佳衍生化条件为衍生化时间 90min、温度 60°C、pH 7 和(CH)CO:HO 比 2:1(v:v)。比较不同 GC 柱配置的性能,30m DB-225ms 与 30m DB-5ms 串联柱的串联显示出 SCFA 最佳的分离效果。使用优化的实验条件,我们同时检测到所有 SCFA,检测限大大提高,为 0.244-0.977µM。我们进一步将开发的方法应用于测量小鼠粪便中的 SCFA,成功定量了所有 SCFA。八种 SCFA 的回收率范围为 55.7%-97.9%。