Room-Temperature Fourier Transform Spectroscopy from the UV to the THz with a Thin-Membrane Pyroelectric Detector
Fourier transform infrared spectroscopy (FTIR) is a mature technique for extracting chemical composition from real-world material samples in various forms. While excellent solutions exist for spectrometers covering near-infrared or mid-infrared ranges, data analysis techniques like Principal Component Analysis (PCA) [1] or Artificial intelligence (AI) utilize complex data sets to improve results by identifying relevant features in other spectral regions, if they are made available in the acquired data. Unfortunately, many instruments lack spectral coverage at wavelengths exceeding <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$16\ \mu \mathrm{m}(625\ \text{cm}^{-1})$</tex> due to the limitations of photodetectors and beamsplitters.
Authors
- Grzegorz Gomółka (ORCID: https://orcid.org/0000-0003-4822-3281)
- Łukasz A. Sterczewski (ORCID: https://orcid.org/0000-0003-1459-7517)
- Jarosław Sotor
- Jakub Mnich (ORCID: https://orcid.org/0000-0003-0032-7305)
Institutions
- Wrocław University of Science and Technology (PL)
- AGH University of Krakow (PL)
Publication Details
- Published
- 2025-06-23
- DOI
- https://doi.org/10.1109/cleo/europe-eqec65582.2025.11110639
- Primary Topic
- Advanced Chemical Sensor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00