Literature DB >> 30469109

Design of Experiments in metabolomics-related studies: An overview.

Julia Jacyna1, Marta Kordalewska1, Michał J Markuszewski2.   

Abstract

Nowadays, Design of Experiments (DoE) approach is a very popular methodology of planning and conducting experiments, where the effect of each tested factor on the studied responses is systematically examined and documented. The results obtained in such manner represent the design space more precisely than in the case of One-Variable-At-Time (OVAT) approach, leading to reliable and comprehensive results, while saving time and resources. Despite such a large increase of interest in this approach recently, its implementation in metabolomics research seems to be limited. Therefore, in this short overview, apart from summarizing some basic concepts of DoE, we wanted to provide a guideline for those who are about to plan metabolomics-related experiments. This overview is divided into four sections. In addition to the first section, which will introduce the history and basics of DoE, second part will provide concise description of the most popular experimental designs. Furthermore, third section will describe examples of DoE application in metabolomics and related studies. We will conclude with fourth section, providing you briefly with opportunities and trends in metabolomics research utilizing experimental design.
Copyright © 2018 Elsevier B.V. All rights reserved.

Keywords:  Design of Experiments; Experimental design; Metabolomics

Mesh:

Year:  2018        PMID: 30469109     DOI: 10.1016/j.jpba.2018.11.027

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  2 in total

1.  Screening of Electrospray-operating Parameters in the Production of Alginate-Royal Jelly Microbeads Using Factorial Design.

Authors:  Mohd Rus Shaiqah; Haris Muhammad Salahuddin; Abu Yazid Anis Afiful Huda; Mohamad Izzuddin; Noor Ismadi Muhammad Nur Shafiq; Mohd Azlan Nur Hakimah; Rahman Siti Radziah; Abd Almonem Doolaanea; Adina Anugerah Budipratama
Journal:  J Pharm Bioallied Sci       Date:  2020-11-05

Review 2.  From Samples to Insights into Metabolism: Uncovering Biologically Relevant Information in LC-HRMS Metabolomics Data.

Authors:  Julijana Ivanisevic; Elizabeth J Want
Journal:  Metabolites       Date:  2019-12-17
  2 in total

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