New Method using vis-NIR and MIR for Detecting Fusarium Head in Wheat
June 17th 2024Detecting Fusarium head blight (FHB) in wheat kernels and flour is important in ensuring food safety in the agriculture industry. Here, we recap a recent study that uses non-destructive spectroscopic techniques and machine learning algorithms to detect FHB.
Improving Asphalt Recycling Using FT-IR Spectroscopy
June 12th 2024Reclaimed asphalt (RA) is often used in many road maintenance and construction projects. A recent study demonstrated how Fourier transform infrared spectroscopy (FT-IR) can be used to analyze RA to ensure its efficacy for new asphalt mixtures.
Applying Raman Spectroscopy with Machine Learning to Detect Alzheimer’s Disease
June 11th 2024A recent study published in the International Journal of Molecular Science shows how Raman spectroscopy combined with machine learning can serve as an improved alternative detection method to preclinical Alzheimer’s diagnosis.
Advanced Raman Techniques for Micro- and Nanoplastics Detection
June 7th 2024A recent review article discusses four advanced Raman techniques, including surface-enhanced Raman scattering (SERS), Raman tweezers (RTs), tip-enhanced Raman scattering (TERS), and Raman mapping/imaging (RM/RI), and how these techniques are being applied for the detection of micro- and nanoplastics.
Staying Updated with Spectroscopic Techniques: How Lead Investigators Adapt to a Changing Industry
June 6th 2024Spectroscopy is at the forefront of many changes happening across many industries. Here, three lead investigators comment on how they stay updated with the latest innovations and developments.
A Look at the Role of Functional Near-Infrared Spectroscopy on Mitochondrial Disorders
June 6th 2024A recent study from the Children’s National Health System and George Washington University explored how near-infrared (NIR) spectroscopy can be used to improve epilepsy detection in patients with mitochondrial disorders.