Rapid QC-MS: Interactive Dashboard for Synchronous Mass Spectrometry Data Acquisition Quality Control

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Wasim Sandhu, Ira J. Gray, Sarah Lin, Joshua E. Elias and Brian C. DeFelice*, 
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引用次数: 0

Abstract

Consistently collecting high-quality liquid chromatography-coupled tandem mass spectrometry (LC-MS/MS) data is a time-consuming hurdle for untargeted workflows. Analytical controls such as internal and biological standards are commonly included in high-throughput workflows, helping researchers recognize low-integrity specimens regardless of their biological source. However, evaluating these standards as data are collected has remained a considerable bottleneck─in both person-hours and accuracy. Here we present Rapid QC-MS, an automated, interactive dashboard for assessing LC-MS/MS data quality. Minutes after a new data file is written, a browser-viewable dashboard is updated with quality control results spanning multiple performance dimensions such as instrument sensitivity, in-run retention time shifts, and mass accuracy drift. Rapid QC-MS provides interactive visualizations that help users recognize acute deviations in these performance metrics, as well as gradual drifts over periods of hours, days, months, or years. Rapid QC-MS is open-source, simple to install, and highly configurable. By integrating open-source Python libraries and widely used MS analysis software, it can adapt to any LC-MS/MS workflow. Rapid QC-MS runs locally and offers optional remote quality control by syncing with Google Drive. Furthermore, Rapid QC-MS can operate in a semiautonomous fashion, alerting users to specimens with potentially poor analytical integrity via frequently used messaging applications. Initially developed for integration with Thermo Orbitrap workflows, Rapid QC-MS offers a fast, straightforward approach to help users collect high-quality untargeted LC-MS/MS data by eliminating many of the most time-consuming steps in manual data curation. Download for free: https://github.com/czbiohub-sf/Rapid-QC-MS.

Rapid QC-MS:质谱数据采集同步质量控制的交互式仪表板
持续收集高质量的液相色谱耦合串联质谱(LC-MS/MS)数据是非靶向工作流程的一个耗时障碍。高通量工作流程中通常包括内部标准和生物标准等分析控制,帮助研究人员识别低完整性标本,而不管其生物来源如何。然而,在收集数据的过程中评估这些标准仍然是一个相当大的瓶颈--在工时和准确性方面都是如此。在此,我们介绍 Rapid QC-MS,这是一个用于评估 LC-MS/MS 数据质量的自动化交互式仪表板。在写入新数据文件几分钟后,可通过浏览器查看的仪表板就会更新质量控制结果,这些结果涵盖多个性能维度,如仪器灵敏度、运行中保留时间偏移和质量精度漂移。Rapid QC-MS 提供交互式可视化功能,帮助用户识别这些性能指标的严重偏差,以及数小时、数天、数月或数年内的逐渐偏移。Rapid QC-MS 是开源软件,安装简单,可配置性强。通过集成开源 Python 库和广泛使用的 MS 分析软件,它可以适应任何 LC-MS/MS 工作流程。Rapid QC-MS 可在本地运行,并通过与 Google Drive 同步提供可选的远程质量控制。此外,Rapid QC-MS 还能以半自主的方式运行,通过常用的信息应用程序提醒用户注意分析完整性可能较差的样本。Rapid QC-MS 最初是为集成 Thermo Orbitrap 工作流程而开发的,它提供了一种快速、直接的方法,帮助用户收集高质量的非靶向 LC-MS/MS 数据,省去了人工数据整理中许多最耗时的步骤。免费下载:https://github.com/czbiohub-sf/Rapid-QC-MS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
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