The analysis of infrared spectroscopy of substances is a non-invasive measurement
technique that can be used in analytics. Although the main objective of this study is to …

Artificial intelligence‐based methods such as chemometrics, machine learning, and deep
learning are promising tools that lead to a clearer and better understanding of data. Only …

Data volumes collected in many scientific fields have long exceeded the capacity of human
comprehension. This is especially true in biomedical research where multiple replicates and …

Infrared spectroscopy hampered by physical distortions from scattering and instrumental
effects. Therefore, it is generally accepted that spectra should be pre-processed before …

Infrared (IR) spectroscopic imaging is of potentially wide use in medical imaging
applications due to its ability to capture both chemical and spatial information. This …

Trace gas analysis in breath is challenging due to the vast number of different components.
We present a highly sensitive quantum cascade laser based photoacoustic setup for breath …

Infrared spectroscopy delivers abundant information about the chemical composition, as
well as the structural and optical properties of intact samples in a non-destructive manner …

Mid-infrared microspectroscopy is a non-invasive tool for identifying the molecular structure
and chemical composition at the scale of the probe, ie at the scale of the beam …

During process monitoring applications, referenced optical spectroscopy, such as
absorbance spectroscopy, can suffer from environmental and instrumental fluctuations that …

Scattering artifacts are one of the most common effects distorting transmission spectra in
Fourier-Transform Infrared spectroscopy. Their increased impact, strongly diminishing the …