Automated Trimethyl Sulfonium Hydroxide Derivatization Method for High-Throughput Fatty Acid Profiling by Gas Chromatography-Mass Spectrometry.
Automated Trimethyl Sulfonium Hydroxide Derivatization Method for High-Throughput Fatty Acid Profiling by Gas Chromatography-Mass Spectrometry.
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自动化三甲基氢氧化硫衍生物方法，用于通过气相色谱质量质谱法进行高通量脂肪酸分析。
DOI：
10.3390/molecules26206246
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发表时间：
2021-10-15
期刊：
影响因子：
--
通讯作者：
Tiziani S
中科院分区：
文献类型：
--
作者：
Gries P;Rathore AS;Lu X;Chiou J;Huynh YB;Lodi A;Tiziani S
气相色谱-质谱（GC-MS）平台上的脂肪酸分析通常通过手动衍生和分析小批量样品离线进行。配备完全集成的自动进样器的GC-MS系统可以显著改善样品处理，标准化数据收集，并减少样品分析所需的总操作时间。在这项研究中，我们报告了一种优化的高通量GC-MS为基础的方法，利用三甲基氢氧化锍（TMSH）作为衍生试剂，将脂肪酸转化为脂肪酸甲酯。开发了一种自动在线衍生化方法，其中机器人自动进样器单独衍生每个样品，并以高通量方式将其注入GC-MS系统。本研究通过比较脂肪酸标准品和脂质提取物，从四种生物基质中手动分批和在线自动衍生，研究了自动TMSH衍生的耐用性。自动衍生化提高了33种脂肪酸标准品中19种的重现性，与手动衍生化样品相比，生物样品中33种确认的脂肪酸中有近一半表现出提高的重现性。总之，我们表明，基于TMSH的在线衍生化方法是高通量脂肪酸分析的理想选择，可以快速有效地进行脂肪酸分析，减少样品处理，加快数据采集速度，并最终提高数据重现性。
Fatty acid profiling on gas chromatography–mass spectrometry (GC–MS) platforms is typically performed offline by manually derivatizing and analyzing small batches of samples. A GC–MS system with a fully integrated robotic autosampler can significantly improve sample handling, standardize data collection, and reduce the total hands-on time required for sample analysis. In this study, we report an optimized high-throughput GC–MS-based methodology that utilizes trimethyl sulfonium hydroxide (TMSH) as a derivatization reagent to convert fatty acids into fatty acid methyl esters. An automated online derivatization method was developed, in which the robotic autosampler derivatizes each sample individually and injects it into the GC–MS system in a high-throughput manner. This study investigated the robustness of automated TMSH derivatization by comparing fatty acid standards and lipid extracts, derivatized manually in batches and online automatically from four biological matrices. Automated derivatization improved reproducibility in 19 of 33 fatty acid standards, with nearly half of the 33 confirmed fatty acids in biological samples demonstrating improved reproducibility when compared to manually derivatized samples. In summary, we show that the online TMSH-based derivatization methodology is ideal for high-throughput fatty acid analysis, allowing rapid and efficient fatty acid profiling, with reduced sample handling, faster data acquisition, and, ultimately, improved data reproducibility.
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影响因子：
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作者：
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通讯作者：
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