July 16th 2025
A new review article highlights the role Fourier transform infrared (FT-IR) spectroscopy plays in characterizing nanomaterials and polymers.
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
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.