Application of Near-Infrared Spectroscopy in Food Quality and Safety
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".
Deadline for manuscript submissions: 30 June 2024 | Viewed by 199
Special Issue Editors
Interests: near infrared spectroscopy; chemometrics; modelling; optimization; extraction; food quality
Interests: microfluidics; biotransformations; mathematical modeling; optimization; NIR spectroscopy; chemometrics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the advancement of food technology, there is an increasing demand for high-quality food, which requires the quality and safety monitoring of food products. Therefore, the application of fast detection methods for the determination of undesired substances in food is urgently required. During the last 20 years, near-infrared spectroscopy (NIRs) has emerged as a rapid, nondestructive, and environmentally friendly method for the evaluation of the complexity of food matrices regarding composition, microstructure, and biological activity. The information arising from the interaction between the food structure and electromagnetic radiation could be explained via the use of chemometrics. The term chemometrics refers to a multidisciplinary approach, highly used for the analysis of large, complex chemical data using mathematical and statistical methods.
This Special Issue will include papers dealing with the rapid detection of food contaminants, food quality monitoring, data analysis and the development of mathematical models using chemometrics and machine learning algorithms based on near-infrared spectra obtained from food products, as well as with the identification of the authenticity, quality, bio-functional and nutritional aspects of food based on its geographical and botanical origin.
Dr. Tamara Jurina
Dr. Ana Jurinjak Tušek
Guest Editors
Manuscript Submission Information
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Keywords
- near-infrared spectroscopy
- food quality
- food safety
- chemometrics