October 24th 2024
A recent study used spectroscopic techniques to study the mineral composition of sedimentary rocks in Texas.
Barbie Dolls Under the Microscope and FT-IR ATR: Unveiling the Secrets of Iconic Toy Degradation
June 3rd 2024Researchers have delved into the material composition and degradation phenomena of Barbie dolls produced between 1959 and 1976, uncovering insights into their chemical degradation and preservation challenges.
Innovative New Method Speeds Up Correction of ATR Infrared Spectra
May 20th 2024Researchers at the Leibniz Institute of Photonic Technology have developed a rapid method to correct infrared attenuated total reflection (ATR) infrared spectra, essential for accurate analysis in various scientific fields. By bypassing iterative processes, this approach enhances efficiency and precision.
AI-Based Neural Networks Revolutionize Infrared Spectra Analysis
May 13th 2024A Researcher from Lomonosov Moscow State University has developed a convolutional neural network (CNN) model for Fourier transform infrared (FT-IR) spectra recognition. This AI-based system is capable of classifying 17 functional groups and 72 coupling oscillations with remarkable accuracy, providing a significant boost to material analysis in fields like organic chemistry, materials science, and biology.
Measurement of Ammonia Leakage by TDLAS in Mid-Infrared Combined with an EMD-SG Filter Method
April 9th 2024In 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.