Literature DB >> 26836506

Validation of the Mass-Extraction-Window for Quantitative Methods Using Liquid Chromatography High Resolution Mass Spectrometry.

Gaétan Glauser1, Baptiste Grund2, Anne-Laure Gassner3, Laure Menin4, Hugues Henry5, Maciej Bromirski6, Frédéric Schütz7, Justin McMullen2, Bertrand Rochat2.   

Abstract

A paradigm shift is underway in the field of quantitative liquid chromatography-mass spectrometry (LC-MS) analysis thanks to the arrival of recent high-resolution mass spectrometers (HRMS). The capability of HRMS to perform sensitive and reliable quantifications of a large variety of analytes in HR-full scan mode is showing that it is now realistic to perform quantitative and qualitative analysis with the same instrument. Moreover, HR-full scan acquisition offers a global view of sample extracts and allows retrospective investigations as virtually all ionized compounds are detected with a high sensitivity. In time, the versatility of HRMS together with the increasing need for relative quantification of hundreds of endogenous metabolites should promote a shift from triple-quadrupole MS to HRMS. However, a current "pitfall" in quantitative LC-HRMS analysis is the lack of HRMS-specific guidance for validated quantitative analyses. Indeed, false positive and false negative HRMS detections are rare, albeit possible, if inadequate parameters are used. Here, we investigated two key parameters for the validation of LC-HRMS quantitative analyses: the mass accuracy (MA) and the mass-extraction-window (MEW) that is used to construct the extracted-ion-chromatograms. We propose MA-parameters, graphs, and equations to calculate rational MEW width for the validation of quantitative LC-HRMS methods. MA measurements were performed on four different LC-HRMS platforms. Experimentally determined MEW values ranged between 5.6 and 16.5 ppm and depended on the HRMS platform, its working environment, the calibration procedure, and the analyte considered. The proposed procedure provides a fit-for-purpose MEW determination and prevents false detections.

Entities:  

Year:  2016        PMID: 26836506     DOI: 10.1021/acs.analchem.5b04689

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  6 in total

1.  Biomonitoring DNA Adducts of Cooked Meat Carcinogens in Human Prostate by Nano Liquid Chromatography-High Resolution Tandem Mass Spectrometry: Identification of 2-Amino-1-methyl-6-phenylimidazo[4,5-b]pyridine DNA Adduct.

Authors:  Shun Xiao; Jingshu Guo; Byeong Hwa Yun; Peter W Villalta; Suprita Krishna; Resha Tejpaul; Paari Murugan; Christopher J Weight; Robert J Turesky
Journal:  Anal Chem       Date:  2016-12-01       Impact factor: 6.986

2.  Data-Independent Mass Spectrometry Approach for Screening and Identification of DNA Adducts.

Authors:  Jingshu Guo; Peter W Villalta; Robert J Turesky
Journal:  Anal Chem       Date:  2017-10-18       Impact factor: 6.986

3.  Sensitive and selective quantification of free and total malondialdehyde in plasma using UHPLC-HRMS.

Authors:  Rute Mendonça; Ophélie Gning; Claudia Di Cesaré; Laurence Lachat; Nigel C Bennett; Fabrice Helfenstein; Gaétan Glauser
Journal:  J Lipid Res       Date:  2017-07-10       Impact factor: 5.922

Review 4.  Inflammation Thread Runs across Medical Laboratory Specialities.

Authors:  Urs Nydegger; Thomas Lung; Lorenz Risch; Martin Risch; Pedro Medina Escobar; Thomas Bodmer
Journal:  Mediators Inflamm       Date:  2016-07-14       Impact factor: 4.711

5.  High-throughput quantification of carboxymethyl lysine in serum and plasma using high-resolution accurate mass Orbitrap mass spectrometry.

Authors:  Naomi J Rankin; Karl Burgess; Stefan Weidt; Goya Wannamethee; Naveed Sattar; Paul Welsh
Journal:  Ann Clin Biochem       Date:  2019-03-04       Impact factor: 2.057

6.  Ultra-Performance Liquid Chromatography-High-Resolution Mass Spectrometry and Direct Infusion-High-Resolution Mass Spectrometry for Combined Exploratory and Targeted Metabolic Profiling of Human Urine.

Authors:  Elena Chekmeneva; Gonçalo Dos Santos Correia; María Gómez-Romero; Jeremiah Stamler; Queenie Chan; Paul Elliott; Jeremy K Nicholson; Elaine Holmes
Journal:  J Proteome Res       Date:  2018-09-19       Impact factor: 4.466

  6 in total

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