Quantification and assessment of detection capability in imaging mass spectrometry using a revised mimetic tissue model
Quantification and assessment of detection capability in imaging mass spectrometry using a revised mimetic tissue model
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DOI：
10.4155/bio-2019-0035
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发表时间：
2019-06-01
期刊：
影响因子：
1.8
通讯作者：
Castellino, Stephen
中科院分区：
文献类型：
--
作者：
Barrymgr, Jeremy A.;Groseclose, Mark Reid;Castellino, Stephen
目的：改进用于定量成像质谱（IMS）的模拟组织模型的制备方法。评估检测能力的概念改编自其他基于成像或质谱（MS）的技术，以提高IMS定量的可靠性。材料和方法：通过将加标组织匀浆连续冷冻到圆柱形模具中以产生具有基质匹配标准品的阶梯式浓度梯度的组织塞来制备模拟组织模型。由于大多数MS数据的异方差性（方差随强度的变化），应用加权最小二乘（WLS）线性回归。结果与结论：与其他基于MS的方法相比，成像对定量提出了一些独特的注意事项。讨论了模拟组织模型的基质匹配标准曲线的设计、构建、应用和评价。此外，离子分布的关键性设计的一个有目的的液相色谱-质谱联用（LC-MS）验证进行了审查。
Aim: A revised method of preparing the mimetic tissue model for quantitative imaging mass spectrometry (IMS) is evaluated. Concepts of assessing detection capability are adapted from other imaging or mass spectrometry (MS)-based technologies to improve upon the reliability of IMS quantification. Materials & methods: The mimetic tissue model is prepared by serially freezing spiked-tissue homogenates into a cylindrical mold to create a plug of tissue with a stepped concentration gradient of matrix-matched standards. Weighted least squares (WLS) linear regression is applied due to the heteroscedastisity (change in variance with intensity)of most MS data. Results & conclusions: Imaging poses several caveats for quantification which are unique compared with other MS-based methods. Aspects of the design, construction, application, and evaluation of the matrix-matched standard curve for the mimetic tissue model are discussed. In addition, the criticality of the ion distribution in the design of a purposeful liquid chromatography coupled to mass spectrometry (LC-MS)validation is reviewed.