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 language | English |
---|---|
Pages (from-to) | 238-248 |
Number of pages | 11 |
Journal | Chemical Engineering and Technology |
Volume | 45 |
Issue number | 2 |
Early online date | 23 Nov 2021 |
DOIs | |
Publication status | E-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
- Chemistry(all)
- Chemical Engineering(all)
- Industrial and Manufacturing Engineering