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用于高通量化合物质量控制的声喷射/全扫描质谱分析。

Acoustic Ejection/Full-Scan Mass Spectrometry Analysis for High-Throughput Compound Quality Control.

机构信息

Research and Early Development, Bristol Myers Squibb, Princeton, NJ, USA.

SCIEX, Concord, ON, Canada.

出版信息

SLAS Technol. 2021 Apr;26(2):178-188. doi: 10.1177/2472630320967625. Epub 2020 Nov 16.

Abstract

High-throughput analysis of compound dissolved in DMSO and arrayed in multiwell plates for quality control (QC) purposes has widespread utility in drug discovery, ranging from the QC of assay-ready plates dispatched by compound management, to compound integrity check in the screening collection, to reaction monitoring of chemical syntheses in microtiter plates. Due to the large number of samples (thousands per batch) involved, these workflows can put a significant burden on the liquid chromatography-mass spectrometry (LC-MS) platform typically used. To achieve the required speed of seconds per sample, several chromatography-free MS approaches have previously been used with mixed results. In this study, we demonstrated the feasibility of acoustic ejection-mass spectrometry (AE-MS) in full-scan mode for high-throughput compound QC in miniaturized formats, featuring direct, contactless liquid sampling, minimal sample consumption, and ultrafast analytical speed. The sample consumption and analysis time by AE-MS represent, respectively, a 1000-fold and 30-fold reduction compared with LC-MS. In qualitative QC, AE-MS generated comparable results to conventional LC-MS in identifying the presence and absence of expected compounds. AE-MS also demonstrated its utility in relative quantifications of the same compound in serial dilution plates, or substrate in chemical synthesis. To facilitate the processing of a large amount of data generated by AE-MS, we have developed a data processing platform using commercially available tools. The platform demonstrated fast and straightforward data extraction, reviewing, and reporting, thus eliminating the need for the development of custom data processing tools. The overall AE-MS workflow has effectively eliminated the analytical bottleneck in the high-throughput compound QC work stream.

摘要

为了质量控制 (QC) 目的,将在 DMSO 中溶解并排列在多孔板中的化合物进行高通量分析,在药物发现中具有广泛的应用,从化合物管理部门发送的准备好进行分析的板的 QC,到筛选库中的化合物完整性检查,再到微量滴定板中化学合成的反应监测。由于涉及的样品数量众多(每批数千个),这些工作流程可能会给通常使用的液相色谱-质谱 (LC-MS) 平台带来很大的负担。为了达到每秒一个样品的要求速度,以前已经使用了几种无色谱 MS 方法,但结果喜忧参半。在这项研究中,我们展示了声喷射质谱 (AE-MS) 在全扫描模式下用于微型化格式中高通量化合物 QC 的可行性,其特点是直接、非接触式液体采样、最小的样品消耗和超快的分析速度。与 LC-MS 相比,AE-MS 的样品消耗和分析时间分别减少了 1000 倍和 30 倍。在定性 QC 中,AE-MS 在识别预期化合物的存在和不存在方面与传统 LC-MS 产生了可比的结果。AE-MS 还证明了其在化学合成中用于对系列稀释板中的相同化合物或基质进行相对定量的用途。为了方便处理 AE-MS 生成的大量数据,我们使用市售工具开发了一个数据处理平台。该平台展示了快速、直接的数据提取、审查和报告,从而消除了开发自定义数据处理工具的需要。总体而言,AE-MS 工作流程有效地消除了高通量化合物 QC 工作流程中的分析瓶颈。

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