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Using Mass Spectrometry and Component Data Analysis (CODA) Processing for Automatic Peak Tracking in Rapid LC Method Development

机译:快速LC方法开发中的全质谱与组件数据分析(CODA)处理自动峰值跟踪

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In a streamlined LC method development strategy involving automatic screening of multiple column and mobile phase, following by temperature/gradient optimization and software optimization, reliable peak tracking becomes the bottle neck for development turn around. Traditionally, area percent and UV profile are the two dominant approaches for peak tracking. Both approaches, however, have their limitations. For example, when peaks coelute, peak area tracking becomes unreliable. Under different pH's, certainly compounds could have substantial difference in UV profiles. With the incorporation of mass spectrometry, molecular weight can be used as a reliable way to track peak as well. In practice, sensitivity of a typical single quadrupole mass spectrometry is less than UV detector. This is due to, to a large extent, the background ion signals presented in the spectrum. (Component data analysis) CODA processing provides a way to clean up the background interference and enhance S/N ratios of the peak in the mass spectra. Here we present how Pfizer Analytical Development utilize mass spectrometry and CODA processing in our LC method development work flow to aid method development.
机译:在简化的LC方法开发策略中,涉及多柱和流动相的自动筛选,按照温度/梯度优化和软件优化,可靠的峰值跟踪成为开发的瓶颈转向。传统上,面积百分比和紫外线轮廓是峰追踪的两个主导方法。然而,这两种方法都有他们的局限性。例如,当峰时,峰面积跟踪变得不可靠。在不同的pH下,肯定化合物在紫外线型材上可能具有显着差异。通过掺入质谱法,分子量也可用作跟踪峰的可靠方法。在实践中,典型的单个四极谱质谱法的敏感性小于UV检测器。这是由于在很大程度上,在频谱中呈现的背景离子信号。 (组件数据分析)CODA处理提供了一种清除峰值中峰值的背景干扰和增强S / N比的方法。在这里,我们介绍了PFizer分析开发在我们的LC方法开发工作流程中利用质谱和CODA处理,以帮助方法开发。

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