Literature DB >> 26341893

Impact of automation on mass spectrometry.

Yan Victoria Zhang1, Alan Rockwood2.   

Abstract

Mass spectrometry coupled to liquid chromatography (LC-MS and LC-MS/MS) is an analytical technique that has rapidly grown in popularity in clinical practice. In contrast to traditional technology, mass spectrometry is superior in many respects including resolution, specificity, multiplex capability and has the ability to measure analytes in various matrices. Despite these advantages, LC-MS/MS remains high cost, labor intensive and has limited throughput. This specialized technology requires highly trained personnel and therefore has largely been limited to large institutions, academic organizations and reference laboratories. Advances in automation will be paramount to break through this bottleneck and increase its appeal for routine use. This article reviews these challenges, shares perspectives on essential features for LC-MS/MS total automation and proposes a step-wise and incremental approach to achieve total automation through reducing human intervention, increasing throughput and eventually integrating the LC-MS/MS system into the automated clinical laboratory operations.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Automation; Clinical practices; High throughput; Liquid chromatography; Mass spectrometry; Routine clinical laboratories

Mesh:

Year:  2015        PMID: 26341893     DOI: 10.1016/j.cca.2015.08.027

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  4 in total

1.  Highly Reproducible Automated Proteomics Sample Preparation Workflow for Quantitative Mass Spectrometry.

Authors:  Qin Fu; Michael P Kowalski; Mitra Mastali; Sarah J Parker; Kimia Sobhani; Irene van den Broek; Christie L Hunter; Jennifer E Van Eyk
Journal:  J Proteome Res       Date:  2017-11-10       Impact factor: 4.466

2.  A CHO-Based Cell-Free Dual Fluorescence Reporter System for the Straightforward Assessment of Amber Suppression and scFv Functionality.

Authors:  Simon K Krebs; Nathanaël Rakotoarinoro; Marlitt Stech; Anne Zemella; Stefan Kubick
Journal:  Front Bioeng Biotechnol       Date:  2022-04-29

Review 3.  Clinical Mass Spectrometry in the Bioinformatics Era: A Hitchhiker's Guide.

Authors:  Yeow-Kuan Chong; Chi-Chun Ho; Shui-Yee Leung; Susanna K P Lau; Patrick C Y Woo
Journal:  Comput Struct Biotechnol J       Date:  2018-08-28       Impact factor: 7.271

4.  Fully Automated Quantitative Measurement of Serum Organic Acids via LC-MS/MS for the Diagnosis of Organic Acidemias: Establishment of an Automation System and a Proof-of-Concept Validation.

Authors:  Yasushi Ueyanagi; Daiki Setoyama; Daisuke Kawakami; Yuichi Mushimoto; Shinya Matsumoto; Taeko Hotta; Dongchon Kang
Journal:  Diagnostics (Basel)       Date:  2021-11-25
  4 in total

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