July 10th 2025
Researchers at Heilongjiang University have developed a rapid and accurate method for detecting sweeteners in food using Raman spectroscopy combined with a Random Forest machine learning algorithm, offering a powerful tool for improving food safety.
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.
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.
Reviewing the Impact of Raman Spectroscopy on Crop Quality Assessment: An Interview with Miri Park
February 1st 2024Miri Park of the Fraunhofer Institute for Environmental, Safety, and Energy Technologies is examining how Raman spectroscopy could aid non-destructive sensing in agricultural science. Recently, Park sat down with Spectroscopy to discuss micro-Raman spectroscopy's role in assessing crop quality, particularly secondary metabolites, across different contexts (in vitro, in vivo, and in situ), while suggesting future research for broader application possibilities.
Q&A: Portable FT-IR Empowers On-Site Food Quality Assurance
February 1st 2024Exploring the transformative capabilities of handheld Fourier transform infrared (FT-IR) spectrometers, Luis Rodriguez-Saona of The Ohio State University emphasizes their pivotal role in ensuring food integrity and safety across the entire supply chain.