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Microfluidics-based electrospray ionization enhances the intrasource separation of lipid classes and extends identification of individual molecular species through multi-dimensional mass spectrometry: development of an automated high-throughput platform for shotgun lipidomics

机译:基于微流体的电喷雾电离可增强脂质种类的源内分离并通过多维质谱法扩展对单个分子种类的识别:开发用于shot弹枪脂质组学的自动化高通量平台

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摘要

Herein, we exploit the use of microfluidics and optimized Taylor cones for improved intrasource separation/selective ionization of lipid classes during electrospray ionization. Increased differential ionization of multiple phospholipid classes was achieved through microfluidics with chip-based ionization resulting in substantial enhancement of intrasource separation/selective ionization of phospholipid classes in comparison to the conventional ion source. For example, using myocardial lipid extracts, 3-fold improvements in intrasource separation/selective ionization of myocardial phospholipid classes were routinely realized in the negative-ion mode in the absence of LiOH or other basic modifiers in the infused sample solutions. Importantly, the relative ratios of ions corresponding to individual molecular species in each lipid class to a selected internal standard from myocardial extracts were nearly identical between the chip-based interface and the syringe-pump-driven capillary interface. Therefore, quantitation of individual lipid molecular species directly from biological extracts through comparisons with internal standards in each lipid class was readily accomplished with an accuracy and dynamic range nearly identical to those documented using the well-established direct syringe-pump-driven capillary interface. Collectively, the use of microfluidics and robotic sample handling substantially enhances intrasource separation of lipids in comparison to routine capillary interfaces and greatly facilitates the use of multi-dimensional mass spectrometry using shotgun lipidomics, thereby providing an automated and high-throughput platform for global analyses of cellular lipidomes.
机译:在本文中,我们利用微流控技术和优化的泰勒锥在电喷雾电离过程中改善脂质种类的源内分离/选择性电离。通过微流体与基于芯片的电离,实现了多种磷脂类别的差异电离的增加,与传统的离子源相比,该技术大大提高了磷脂类别的源内分离/选择性电离。例如,使用心肌脂质提取物,在注入的样品溶液中不存在LiOH或其他碱性修饰剂的情况下,在负离子模式下常规实现了心肌磷脂种类的源内分离/选择性电离的3倍改进。重要的是,对应于每个脂质类别中的单个分子种类的离子与从心肌提取物中选择的内标物的相对比例在基于芯片的界面和注射器-泵驱动的毛细管界面之间几乎相同。因此,通过与每种脂质类别中的内标进行比较,直接从生物提取物中直接定量单个脂质分子种类,可以轻松实现准确度和动态范围,其准确性和动态范围几乎与使用公认的直接注射器-泵驱动毛细管界面记录的准确度和动态范围相同。总的来说,与常规毛细管界面相比,微流体技术和机器人样品处理技术的使用大大增强了脂质的源内分离,并极大地促进了使用shot弹枪脂质组学的多维质谱的使用,从而提供了一个自动化的高通量平台,可对细胞脂质组。

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  • 期刊名称 other
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  • 年(卷),期 -1(22),13
  • 年度 -1
  • 页码 2115–2124
  • 总页数 18
  • 原文格式 PDF
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