校准
分析物
化学
信号(编程语言)
质谱法
工作流程
样品(材料)
分析化学(期刊)
色谱法
计算机科学
统计
数据库
数学
程序设计语言
作者
Lindsay K. Pino,Brian C. Searle,Eric L. Huang,William Stafford Noble,Andrew N. Hoofnagle,Michael J. MacCoss
出处
期刊:Analytical Chemistry
[American Chemical Society]
日期:2018-10-11
卷期号:90 (21): 13112-13117
被引量:34
标识
DOI:10.1021/acs.analchem.8b04581
摘要
Mass spectrometry (MS) measurements are not inherently calibrated. Researchers use various calibration methods to assign meaning to arbitrary signal intensities and improve precision. Internal calibration (IC) methods use internal standards (IS) such as synthesized or recombinant proteins or peptides to calibrate MS measurements by comparing endogenous analyte signal to the signal from known IS concentrations spiked into the same sample. However, recent work suggests that using IS as IC introduces quantitative biases that affect comparison across studies because of the inability of IS to capture all sources of variation present throughout an MS workflow. Here, we describe a single-point external calibration strategy to calibrate signal intensity measurements to a common reference material, placing MS measurements on the same scale and harmonizing signal intensities between instruments, acquisition methods, and sites. We demonstrate data harmonization between laboratories and methodologies using this generalizable approach.
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