June 12th 2025
Researchers from Hebei University and Hebei University of Engineering have developed a hyperspectral imaging method combined with data fusion and machine learning to accurately and non-destructively assess walnut quality and classify storage periods.
Deep Learning Paves the Way for More Accurate Fruit Quality Evaluation
August 29th 2024Researchers from the University of Minnesota and Nanjing Agricultural University have highlighted the potential of deep learning to significantly improve the accuracy and robustness of fruit quality assessments using visible-near-infrared spectroscopy.
Protein Prediction in Native Chickens Using Near-Infrared Spectroscopy, Part 2
August 28th 2024In the second part of this article, we dive into the methodology conducted by researchers from Yunnan Agricultural University in China that successfully used near-infrared (NIR) to analyze the protein content in chickens.
A Review of the Latest Spectroscopic Research in Food and Beverage Analysis
August 7th 2024Spectroscopic analytical techniques are crucial for the analysis of processed foods and beverages. This review article emphasizes the latest advancements in several key spectroscopic methods, including atomic, vibrational, molecular, electronic, and X-ray techniques. The applications of these analytical methods in detecting quality, contaminants, and adulteration applications are thoroughly discussed.
Real-Time Chemometric Analysis of Multicomponent Bioprocesses Using Raman Spectroscopy
In this study, a glycerol-fed, lab-scale E. coli bioprocess producing representative pharmaceutical compounds was monitored offline with a portable, high-sensitivity Raman spectrometer.
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.