Spectroscopy Applications in Plant and Plant-Based Foods
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Food Science and Technology".
Deadline for manuscript submissions: closed (20 February 2025) | Viewed by 7464
Special Issue Editors
Interests: plant phenotyping; quality inspection; spectroscopy and spectral analysis; machine learning
Interests: environmental pollutant detection; plant phenotyping; heavy metal detection; laser-induced breakdown spectroscopy
Interests: deep learning; hyperspectral imaging; plant phenotyping
Special Issues, Collections and Topics in MDPI journals
Interests: spectroscopy; spectral imaging; agricultural engineering; food
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Under the effect of the plant-based diet trend, plant-based foods have gained widespread popularity. Plant-based foods refer to a variety of products made from fruits, vegetables, grains, legumes and pulses, etc. In recent years, spectroscopy technology has received extensive attention in the fields of plants and food. In addition, the development of imaging technology, microscopic equipment, and artificial intelligence has promoted the further application of spectroscopy technology in rapid and non-destructive detection. Noting the rapid expansion in spectroscopy, we are announcing a Special Issue of Applied Sciences entitled "Spectroscopy Applications in Plant and Plant-Based Foods". The aim is to explore the latest progress in applying spectroscopy technology to the quality and safety assessment of plant raw materials, food processing, and food products. Phenotypic information analysis, sensory quality evaluation, nutrient composition detection, microbial metabolism analysis, food functional assessment, contamination detection, etc., are encouraged. The optimization of analytical equipment and platforms, as well as innovative applications of analytical techniques and methods, are also welcomed.
Dr. Yiying Zhao
Dr. Wei Wang
Dr. Lei Zhou
Dr. Chu Zhang
Guest Editors
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Keywords
- visible and near-infrared spectroscopy
- mid-infrared spectroscopy
- Raman spectroscopy
- laser spectroscopic detection
- multispectral and/or hyperspectral imaging
- artificial intelligence and machine learning
- quality and safety evaluation
- novel analytical techniques and methods
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