The Application of Advanced Design of Experiments for the Efficient Development of Chemical Processes

Journal Title: Chemical Informatics - Year 2017, Vol 3, Issue 2

Abstract

The combination of Principal Component Analysis (PCA) with Design of Experiments (DoE) is a powerful and very efficient tool for optimising chemical processes. This article explains how to apply PCA and DoE, and demonstrates the benefits with three case studies.

Authors and Affiliations

Paul M Murray, Laura C Forfar

Keywords

Related Articles

High-Throughput Screening Assay Datasets from the PubChem Database

Availability of high-throughput screening (HTS) data in the public domain offers great potential to foster development of ligand-based computer-aided drug discovery (LB-CADD) methods crucial for drug discovery efforts in...

Comparative Cheminformatic Analysis of Inhibitors of DNA Methyltransferases

DNA methylation is an epigenetic mechanism mediated by a family of the enzymes DNA methyltransferases (DNMTs): DNMT1, DNMT3A and DNMT3B. These enzymes are emerging targets for the treatment of cancer and other diseases....

Chemistry, Informatics and Systems Biology

Chemistry is (also) information: as a matter of example, our DNA is a chemical matter, where everything about each of ourself - in power - is written, dynamically expressing itself epigenetically by interacting with the...

The Application of Advanced Design of Experiments for the Efficient Development of Chemical Processes

The combination of Principal Component Analysis (PCA) with Design of Experiments (DoE) is a powerful and very efficient tool for optimising chemical processes. This article explains how to apply PCA and DoE, and demonstr...

Download PDF file
  • EP ID EP301302
  • DOI 10.21767/2470-6973.100023
  • Views 52
  • Downloads 0

How To Cite

Paul M Murray, Laura C Forfar (2017). The Application of Advanced Design of Experiments for the Efficient Development of Chemical Processes. Chemical Informatics, 3(2), 1-15. https://europub.co.uk./articles/-A-301302