通过IR-MALDESI定量MSI在肝脏组织中展示voxel-by-voxel (V × V) 单点校准
Emily R Bruce1, Russell R Kibbe1, Logan J Opperman2
1Biological Imaging Laboratory for Disease and Exposure Research, Department of Chemistry, North Carolina State University, Raleigh, NC, 27695, USA.
Analytical and bioanalytical chemistry
|September 29, 2025
概括
一种新的voxel-by-voxel (V×V) 量化方法通过简化样本准备和对矩阵效应的计算来改善质谱成像. 这种技术提供了高精度和特异性,用于分析组织中的谷氨等分析物.
科学领域:
- 生物医学工程 生物医学工程
- 分析化学 分析化学
- 分子成像学分子成像学
背景情况:
- 定量质谱成像 (qMSI) 可以在没有均化的情况下进行组织分析,但常见的方法,如空间校准曲线,存在局限性.
- 繁的样本准备和未解决的局部矩阵效应阻碍了传统的QMSI技术的准确性.
研究的目的:
- 开发和评估一种新的 voxel-by-voxel (V×V) 量化方法,用于 qMSI.
- 克服空间校准曲线的局限性,通过提供每声素内部标准校准.
主要方法:
- 开发了使用稳定同位素标记的内部标准 (SIL-GSH) 喷射到滑片上进行谷氨 (GSH) 分析的V×V量化.
- 在肝脏部分上使用IR-MALDESI MSI实现V×V量化.
- 将V×V量化性能与传统空间校准曲线进行比较.
主要成果:
- V×V量化证明了在广泛的度范围内具有高精度.
- 精度受到喷雾器配置的限制,但可行性得到了度热图的支持.
- V×V量化使得具有高特异性的并行反应监测 (PRM) 成像成为可能.
结论:
- 声素对声素量化提供了更简单的样本准备,并考虑了局部矩阵效应,优于空间校准曲线.
- V×V方法显示了定量质谱成像的显著优势.
- 需要进一步优化喷雾器配置以提高精度.
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