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基于相关系数的定量基质辅助激光解吸/电离质谱分析内标物的选择

Selection of Internal Standards for Quantitative Matrix-Assisted Laser Desorption/Ionization Mass Spectrometric Analysis Based on Correlation Coefficients.

作者信息

Yang Shumei, Mu Lei, Feng Ruxia, Kong Xianglei

机构信息

The State Key Laboratory of Elemento-Organic Chemistry, Collage of Chemistry and Collaborative Innovation Center of Chemical Science and Engineering, Nankai University, Tianjin 300071, P. R. China.

出版信息

ACS Omega. 2019 May 7;4(5):8249-8254. doi: 10.1021/acsomega.9b00566. eCollection 2019 May 31.

DOI:10.1021/acsomega.9b00566
PMID:31459912
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6648383/
Abstract

Matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS) has shown its great success in the qualitative analysis of a wide range of organic and biological molecules. However, its application in quantitative analysis is still limited by the difficulty in the availability of isotope-labeled internal standards. The present work investigates the relationship between the correlation coefficient of the peak intensities of analyte and candidate internal standard ions and the linearity of possible quantitative analysis. Based on the two analyte examples, ciprofloxacin and substance P, the results show that the performance of the selected nonisotope-labeled internal standard is greatly related to the correlation coefficient. A high positive correlation coefficient (>0.7) between the ions of analyte and candidate standard can result in a good linearity ( > 0.98) and vice versa. The results provide a new way to select nonisotope-labeled internal standards for MALDI analysis and thus can be potentially applied in the rapid quantitative mass spectrometry.

摘要

基质辅助激光解吸/电离质谱(MALDI MS)在多种有机和生物分子的定性分析中已取得巨大成功。然而,其在定量分析中的应用仍受到同位素标记内标物难以获取的限制。目前的工作研究了分析物与候选内标离子峰强度的相关系数与可能的定量分析线性之间的关系。基于环丙沙星和P物质这两个分析物实例,结果表明所选非同位素标记内标的性能与相关系数密切相关。分析物离子与候选标准物之间的高正相关系数(>0.7)可导致良好的线性(>0.98),反之亦然。这些结果为MALDI分析选择非同位素标记内标物提供了一种新方法,因此有可能应用于快速定量质谱分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a77/6648383/df32d35368a5/ao-2019-00566y_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a77/6648383/345e8c7dd210/ao-2019-00566y_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a77/6648383/531199cb38c7/ao-2019-00566y_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a77/6648383/7616420ab719/ao-2019-00566y_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a77/6648383/1198309318a0/ao-2019-00566y_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a77/6648383/ddc3a067559c/ao-2019-00566y_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a77/6648383/df32d35368a5/ao-2019-00566y_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a77/6648383/345e8c7dd210/ao-2019-00566y_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a77/6648383/531199cb38c7/ao-2019-00566y_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a77/6648383/7616420ab719/ao-2019-00566y_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a77/6648383/1198309318a0/ao-2019-00566y_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a77/6648383/ddc3a067559c/ao-2019-00566y_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a77/6648383/df32d35368a5/ao-2019-00566y_0003.jpg

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