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Uncovering the fragmentation and separation characteristics of sophorolipid biosurfactants with LC-MS-ESI

不饱和度 碎片(计算) 化学 色谱法 洗脱 质谱法 电喷雾电离 电喷雾 生物 生态学
作者
Benjamin Ingham,Katherine A. Hollywood,Phavit Wongsirichot,A.R. Veitch,James Winterburn
出处
期刊:Journal of Industrial Microbiology & Biotechnology [Springer Science+Business Media]
标识
DOI:10.1093/jimb/kuae035
摘要

Abstract The application of liquid chromatography and mass spectrometry is a challenging area of research for structural identification of sophorolipids, owing to the large number of possible variations in structure and limited knowledge on the separation and fragmentation characteristics of the variants. The aims of this work was to provide a comprehensive analysis of the expected characteristics and fragmentation patterns of a wide range of sophorolipid biosurfactant congeners, providing a methodology and process alongside freely available data to inform and enable future research of commercial or novel sophorolipids. Samples of acidic and lactonic sophorolipid standards were tested using reverse phase ultra-high performance liquid chromatography and identified using electrospray ionisation mass spectrometry. 37 sophorolipid variants were identified and compared for their elution order and fragmentation pattern under MS/MS The retention time of sophorolipids was increased by the presence of lactonisation, unsaturation, chain length and acetylation as hydrophobic interactions with the C18 stationary phase increased. A key finding that acidic forms can elute later than lactonic variants was found when the fatty acid length and unsaturation and acetylation are altered, in contradiction to previous literature statements. Fragmentation pathways were determined for lactonic and acidic variants under negative [M-H]− and positive [M+NH4]+ ionisation and unique patterns/pathways were identified to help determine the structural components present. The first publicly available database of chromatograms and MS2 spectra has been made available to aid in the identification of sophorolipid components and provide a reliable dataset to accelerate future research into novel sophorolipids and shorten the time to innovation.
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