发展红外基质辅助激光解吸电喷雾电离质谱成像的传输模式。
Developing transmission mode for infrared matrix-assisted laser desorption electrospray ionization mass spectrometry imaging.
机构信息
FTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, North Carolina, USA.
Molecular Education, Technology and Research Innovation Center, North Carolina State University, Raleigh, North Carolina, USA.
出版信息
Rapid Commun Mass Spectrom. 2022 Nov 30;36(22):e9386. doi: 10.1002/rcm.9386.
RATIONALE
The development and characterization of the novel NextGen infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) source catalyzed new advancements in IR-MALDESI instrumentation, including the development of a new analysis geometry.
METHODS
A vertically oriented transmission mode (tm)-IR-MALDESI setup was developed and optimized on thawed mouse tissue. In addition, glycerol was introduced as an alternative energy-absorbing matrix for tm-IR-MALDESI because the new geometry does not currently allow for the formation of an ice matrix. The tm geom was evaluated against the optimized standard geometry for the NextGen source in reflection mode (rm).
RESULTS
It was found that tm-IR-MALDESI produces comparable results to rm-IR-MALDESI after optimization. The attempt to incorporate glycerol as an alternative matrix provided little improvement to tm-IR-MALDESI ion abundances.
CONCLUSIONS
This work has successfully demonstrated the adaptation of the NextGen IR-MALDESI source through the feasibility of tm-IR-MALDESI mass spectrometry imaging on mammalian tissue, expanding future biological applications of the method.
原理
新型 NextGen 中红外基质辅助激光解吸电喷雾电离（IR-MALDESI）源的开发和特性研究推动了 IR-MALDESI 仪器的新进展，包括新分析几何结构的发展。
方法
开发并优化了垂直取向传输模式（tm）-IR-MALDESI 装置，用于解冻的小鼠组织分析。此外，由于新的几何形状目前不允许形成冰基质，甘油被引入作为 tm-IR-MALDESI 的替代能量吸收基质。该 tm 几何结构与优化的标准 NextGen 源反射模式（rm）几何结构进行了比较。
结果
优化后发现，tm-IR-MALDESI 产生的结果与 rm-IR-MALDESI 相当。尝试将甘油作为替代基质的方法对 tm-IR-MALDESI 的离子丰度几乎没有改善。
结论
这项工作成功地通过哺乳动物组织上 tm-IR-MALDESI 质谱成像的可行性证明了 NextGen IR-MALDESI 源的适应性，扩展了该方法的未来生物学应用。
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