Literature DB >> 29654580

Quality Control and Validation Issues in LC-MS Metabolomics.

Olga Begou1, Helen G Gika2, Georgios A Theodoridis1, Ian D Wilson3.   

Abstract

Global metabolic profiling (untargeted metabolomics) of different and complex biological matrices aims to implement an holistic, hypothesis-free analysis of (potentially) all the metabolites present in the analyzed sample. However, such an approach, although it has been the focus of great interest over the past few years, still faces many limitations and challenges, particularly with regard to the validation and the quality of the obtained results. The present protocol describes a quality control (QC) procedure for monitoring the precision of the analytical process involving untargeted metabolic phenotyping of urine and plasma/serum. The described/suggested methodology can be applied to different biological matrices, such as biological biofluids, cell, and tissue extracts.

Keywords:  Biological samples; Quality control; Untargeted metabolomics

Mesh:

Substances:

Year:  2018        PMID: 29654580     DOI: 10.1007/978-1-4939-7643-0_2

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  7 in total

Review 1.  Metabolomics Research in Periodontal Disease by Mass Spectrometry.

Authors:  Sachio Tsuchida; Tomohiro Nakayama
Journal:  Molecules       Date:  2022-04-30       Impact factor: 4.927

2.  Phytochemistry by design: a case study of the chemical composition of Ocotea guianensis optimized extracts focused on untargeted metabolomics analysis.

Authors:  Ananda da Silva Antonio; Ana Tayná Chaves Aguiar; Gustavo Ramalho Cardoso Dos Santos; Henrique Marcelo Gualberto Pereira; Valdir Florêncio da Veiga-Junior; Larissa Silveira Moreira Wiedemann
Journal:  RSC Adv       Date:  2020-01-21       Impact factor: 4.036

3.  Metabolic signatures of osteoarthritis in urine using liquid chromatography-high resolution tandem mass spectrometry.

Authors:  Salah Abdelrazig; Catharine A Ortori; Michael Doherty; Ana M Valdes; Victoria Chapman; David A Barrett
Journal:  Metabolomics       Date:  2021-03-03       Impact factor: 4.290

4.  Metaboprep: an R package for pre-analysis data description and processing.

Authors:  David A Hughes; Kurt Taylor; Nancy McBride; Matthew A Lee; Dan Mason; Deborah A Lawlor; Nicholas J Timpson; Laura J Corbin
Journal:  Bioinformatics       Date:  2022-02-04       Impact factor: 6.931

Review 5.  Quality assurance and quality control reporting in untargeted metabolic phenotyping: mQACC recommendations for analytical quality management.

Authors:  Jennifer A Kirwan; Helen Gika; Richard D Beger; Dan Bearden; Warwick B Dunn; Royston Goodacre; Georgios Theodoridis; Michael Witting; Li-Rong Yu; Ian D Wilson
Journal:  Metabolomics       Date:  2022-08-27       Impact factor: 4.747

6.  Metabolic Signatures of Surface-Modified Poly(lactic-co-glycolic acid) Nanoparticles in Differentiated THP-1 Cells Derived with Liquid Chromatography-Mass Spectrometry-based Metabolomics.

Authors:  Mohammad A Al-Natour; Salah Abdelrazig; Amir M Ghaemmaghami; Cameron Alexander; Dong-Hyun Kim
Journal:  ACS Omega       Date:  2022-08-12

Review 7.  Food Phenotyping: Recording and Processing of Non-Targeted Liquid Chromatography Mass Spectrometry Data for Verifying Food Authenticity.

Authors:  Marina Creydt; Markus Fischer
Journal:  Molecules       Date:  2020-08-31       Impact factor: 4.411

  7 in total

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