Optimizing data analysis for broadband mid-infrared absorption spectroscopy: A hybrid dataset approach
The workflow presented here provides a means to optimize, train, and assess data-processing techniques for broadband mid-infrared gas spectra. The approach is widely applicable: it can be implemented for any gas absorption spectroscopic instrument with broadband coverage, as long as it is possible to determine the instrument-specific characteristics, and it can improve and evaluate a wide variety of data-processing techniques.
Authors
- Joris Meurs (ORCID: https://orcid.org/0000-0002-0288-0422)
- Eric Cator (ORCID: https://orcid.org/0000-0003-3873-7983)
- Roderik Krebbers
- Simona M. Cristescu (ORCID: https://orcid.org/0000-0001-9012-4119)
- Laurens Sluijterman (ORCID: https://orcid.org/0000-0001-6964-6481)
- Amir Khodabakhsh (ORCID: https://orcid.org/0000-0002-0212-7617)
Institutions
- Radboud University Nijmegen (NL)
- Radboud University Medical Center (NL)
- Radboud Institute for Molecular Life Sciences (NL)
Publication Details
- Journal
- Analytica Chimica Acta
- Published
- 2025-06-06
- DOI
- https://doi.org/10.1016/j.aca.2025.344303
- Citations
- 1
- Primary Topic
- Spectroscopy and Chemometric Analyses
- Type
- article
- Field-Weighted Citation Impact
- 0.75
Funders
- Radboud Universiteit
- Horizon 2020 Framework Programme