Selection of formal baseline correction methods in thermal analysis

Rebecca L. Gibson*, Mark J.H. Simmons, E. Hugh Stitt, Lockhart Horsburgh, Robert W. Gallen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Baseline correction is a key step in processing of thermal analysis data. Whilst this is a common step, techniques range from linear baselines to use of high-order polynomials. When considering a formal baseline correction (those without physical or experimental justification), only linear correction methods should be used: linear with time, linear with temperature, and linear with extent of reaction. The absence of baseline correction should also be considered. An in silico study shows that the wrong baseline correction can significantly impact the parameters obtained from kinetic modeling. The four baseline correction methods are demonstrated with a mass spectrometry dataset. It is recommended that the selection of correction method should be based on comparison of Akaike weights.

Original languageEnglish
Pages (from-to)238-248
Number of pages11
JournalChemical Engineering and Technology
Volume45
Issue number2
Early online date23 Nov 2021
DOIs
Publication statusE-pub ahead of print - 23 Nov 2021

Bibliographical note

Funding Information:
R. Gibson has been funded by the EPSRC Centre for Doctoral Training in Formulation Engineering at the University of Birmingham (EPSRC grant No. EP/L015153/1) and Johnson Matthey. We thank Dr. John West (Johnson Matthey plc) for his useful discussions on this topic.

Publisher Copyright:
© 2022 The Authors. Chemical Engineering Technology published by Wiley-VCH GmbH

Keywords

  • Akaike weights
  • Baseline correction
  • Kinetics
  • Thermogravimetric analysis

ASJC Scopus subject areas

  • General Chemistry
  • General Chemical Engineering
  • Industrial and Manufacturing Engineering

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