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.

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Published
2025-06-23
DOI
https://doi.org/10.1109/cleo/europe-eqec65582.2025.11110639
Primary Topic
Advanced Chemical Sensor Technologies
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article
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article

Room-Temperature Fourier Transform Spectroscopy from the UV to the THz with a Thin-Membrane Pyroelectric Detector

Grzegorz Gomółka, Łukasz A. Sterczewski, Jarosław Sotor, Jakub Mnich
Advanced Chemical Sensor Technologies
article

Room-Temperature Fourier Transform Spectroscopy from the UV to the THz with a Thin-Membrane Pyroelectric Detector

Grzegorz Gomółka, Łukasz A. Sterczewski, Jarosław Sotor, Jakub Mnich
article en

Abstract

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.

Wrocław University of Science and Technology (PL), AGH University of Krakow (PL)
Affordable and clean energy
Openalex Percentile: Top 79%
Advanced Chemical Sensor Technologies
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