July 1st 2025
A new review led by researchers from MIT and Oak Ridge National Laboratory outlines how artificial intelligence (AI) is transforming the study of molecular vibrations and phonons, making spectroscopic analysis faster, more accurate, and more accessible.
Measurement of Ammonia Leakage by TDLAS in Mid-Infrared Combined with an EMD-SG Filter Method
Published: April 9th 2024 | Updated: May 1st 2025In this article, tunable diode laser absorption spectroscopy (TDLAS) is used to measure ammonia leakage, where a new denoising method combining empirical mode decomposition with the Savitzky-Golay smoothing algorithm (EMD-SG) is proposed to improve the signal-to-noise ratio (SNR) of absorbance signals.
Childhood Obesity Serum Samples Analyzed Using Fourier Transform Infrared Spectroscopy
April 9th 2024A group of scientists led by Zozan Guleken of the Gaziantep University of Science and Technology in Gaziantep, Turkey looked into the blood serum composition of childhood obesity (CO) tissues using Fourier transform infrared (FT-IR) spectroscopy.
Antibiotic-Resistant Bacteria Identified Using Infrared Spectroscopy and Machine Learning
March 27th 2024Scientists from Ben-Gurion University of the Negev, the Afeka Tel-Aviv Academic College of Engineering, and the Shamoon College of Engineering recently created a system that combines Fourier transform infrared (FT-IR) spectroscopy with machine learning algorithms to identify bacteria that is resistant to antibiotics.
Inorganics III: Even More Spectra, and the Grand Finale
March 2nd 2024We wrap up our discussion of the mid-infrared spectra of inorganic compounds by looking at the spectra of silicates, nitrates, and phosphates. We will see that silicates have complex surface chemistry, and that infrared spectroscopy can tell us something about this. We will note that, of the five families of inorganics examined, the wavenumber ranges for the polyatomic anion stretching peaks in several of these functional groups overlap. However, polyatomic anion bending vibration peaks can be used to distinguish the five types of inorganics studied.
Achieving Ultra-Broadband Spectroscopic Measurements Using Infrared Spectroscopy
February 28th 2024In a recent study from Optica, researchers from Kyoto University attempt to resolve the limitations of traditional infrared (IR) spectroscopy by using quantum entangled photons to conduct broadband IR spectroscopy.