Department of Pharmaceutical Analysis, School of Pharmacy, Fudan University, Shanghai 201203, China.
Analyst. 2020 Apr 7;145(7):2692-2700. doi: 10.1039/d0an00005a. Epub 2020 Feb 19.
Short-chain fatty acids (SCFAs) were identified as critical markers in the diagnosis of chronic and metabolic diseases, but a sensitive and stable method to determine SCFAs in feces is a challenge for analysts due to the high volatility. Herein, a sensitive and accurate method to determine SCFAs adopting precolumn derivatization coupled with gas chromatography-mass spectrometry (GC-MS) has been developed. Benzyl chloroformate (BCF) was chosen as the reaction reagent and emulsified derivatization was applied to homogenize the reaction system. Higher sensitivity, wider application and satisfactory derivatization efficiency were obtained using the developed method. An excellent method validation showed a good linearity ranging from 0.9947 to 0.9998. At the same time, the intra-day and inter-day precision were achieved in the range of 0.56% to 13.07%. The lower limits of detection of all target analytes varied from 0.1 to 5 pg. The recovery ranged from 80.87% to 119.03%, and storage stability under three different conditions was also determined. This method was also successfully applied to the analysis of SCFAs in mice fecal samples to illustrate the significant differences between normal and type 2 diabetes mellitus mice.
短链脂肪酸 (SCFAs) 被确定为慢性和代谢性疾病诊断的关键标志物,但由于其高挥发性,分析人员在粪便中确定 SCFAs 的方法灵敏且稳定是一个挑战。本文开发了一种采用柱前衍生化结合气相色谱-质谱联用 (GC-MS) 测定 SCFAs 的灵敏准确方法。选择苄基氯甲酸酯 (BCF) 作为反应试剂,并应用乳化衍生化来均匀化反应体系。所开发的方法具有更高的灵敏度、更广泛的适用性和令人满意的衍生化效率。经过良好的方法验证,该方法具有良好的线性范围,从 0.9947 到 0.9998。同时,日内和日间精密度在 0.56%至 13.07%的范围内。所有目标分析物的检测限下限在 0.1 至 5 pg 之间变化。回收率在 80.87%至 119.03%之间,还确定了三种不同条件下的储存稳定性。该方法还成功应用于分析小鼠粪便样本中的 SCFAs,以说明正常和 2 型糖尿病小鼠之间的显著差异。