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离子淌度质谱的峰容量:在氦缓冲气体中分离肽段

Peak capacity of ion mobility mass spectrometry: separation of peptides in helium buffer gas.

作者信息

Ruotolo Brandon T, Gillig Kent J, Stone Earle G, Russell David H

机构信息

Laboratory for Biological Mass Spectrometry, Department of Chemistry, Texas A&M University, College Station 77843, USA.

出版信息

J Chromatogr B Analyt Technol Biomed Life Sci. 2002 Dec 25;782(1-2):385-92. doi: 10.1016/s1570-0232(02)00566-4.

DOI:10.1016/s1570-0232(02)00566-4
PMID:12458020
Abstract

Advances in the field of proteomics depend upon the development of high-throughput separation methods. Ion mobility-mass spectrometry is a fast separation method (separations on the millisecond time-scale), which has potential for peptide complex mixture analysis. Possible disadvantages of this technique center around the lack of orthogonality between separation based on ion mobility and separation based on mass. In order to examine the utility of ion mobility-mass spectrometry, the peak capacity (phi) of the technique was estimated by subjecting a large dataset of peptides to linear regression analysis to determine an average trend for tryptic peptides. This trend-line, along with the deviation from a linear relationship observed for this dataset, was used to define the separation space for ion mobility-mass spectrometry. Using the maximum deviation found in the dataset (+/-11%) the peak capacity of ion mobility-mass spectrometry is approximately 2600 peptides. These results are discussed in light of other factors that may increase the peak capacity of ion mobility-mass spectrometry (i.e. multiple trends in the data resulting from multiple classes of compounds present in a sample) and current liquid chromatography approaches to complex peptide mixture analysis.

摘要

蛋白质组学领域的进展依赖于高通量分离方法的发展。离子淌度-质谱法是一种快速分离方法(分离时间在毫秒级),具有分析肽复杂混合物的潜力。该技术可能存在的缺点主要围绕基于离子淌度的分离与基于质量的分离之间缺乏正交性。为了检验离子淌度-质谱法的实用性,通过对大量肽数据集进行线性回归分析来估计该技术的峰容量(φ),以确定胰蛋白酶肽的平均趋势。这条趋势线,连同该数据集观察到的与线性关系的偏差,被用于定义离子淌度-质谱法的分离空间。利用数据集中发现的最大偏差(±11%),离子淌度-质谱法的峰容量约为2600个肽。结合可能增加离子淌度-质谱法峰容量的其他因素(即样品中存在的多类化合物导致数据出现多种趋势)以及当前用于复杂肽混合物分析的液相色谱方法对这些结果进行了讨论。

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