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Rapid and comprehensive evaluation of microalgal fatty acids via untargeted gas chromatography and time‐of‐flight mass spectrometry

机译:通过非目标气相色谱和飞行时间质谱快速全面地评估微藻脂肪酸

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摘要

Due to their high triacylglyceride content, microalgae are intensively investigated for bio‐economy and food applications. However, lipid analysis is a laborious task incorporating extraction, transesterification and typically gas chromatographic measurement. Co‐elution induces a significant risk of fatty acid misidentification and thus, additional purification steps like thin layer chromatography are needed. Contrary to database matching approaches, solely targeted analysis is facilitated as compound identification is driven by matching retention times or indices with standard substances. In this context, a rapid workflow for the analysis of algal fatty acids is presented. transesterification was used to simplify sample preparation and conditions were optimized towards fast processing. If results are needed at the very day of sampling, direct processing without a preceding drying step is feasible to obtain a rough estimate about the occurrence of the major compounds. Coupling gas chromatography and time‐of‐flight mass spectrometry enables untargeted analysis. Unknown compounds may be identified by structural reconstruction of their respective fragmentation patterns and by database matching to routinely avoid mismatches by co‐elution of disturbing agents. The developed workflow was successfully applied to derive the exact stereochemistry of all fatty acids from and a systematic shift depending on physiological state of the cells was confirmed.
机译:由于它们的三酰基甘油酯含量高,因此在生物经济和食品应用方面对微藻进行了深入研究。但是,脂质分析是一项艰巨的任务,需要结合萃取,酯交换反应和典型的气相色谱测量方法。共洗脱会导致脂肪酸错误识别的重大风险,因此需要其他纯化步骤,例如薄层色谱。与数据库匹配方法相反,由于通过将保留时间或指标与标准物质匹配来驱动化合物鉴定,因此可以简化目标分析。在这种情况下,提出了用于藻类脂肪酸分析的快速工作流程。酯交换反应用于简化样品制备,并优化了条件以实现快速处理。如果在采样的当天需要结果,则可以在不进行干燥步骤的情况下直接进行处理,以大致估算出主要化合物的含量。气相色谱和飞行时间质谱联用可实现无目标分析。未知化合物可以通过其各自的碎片图谱的结构重建和数据库匹配来识别,从而通过干扰剂的共洗脱常规避免错配。所开发的工作流程已成功应用于从中推导出所有脂肪酸的精确立体化学,并确认了根据细胞的生理状态发生的系统转移。

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