Modern Analytical Strategies for Food Authenticity and Quality Control at the Point-of-Care
A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Analytical Chemistry".
Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 2207
Special Issue Editors
Interests: food authenticity; ion mobility; mass spectrometry; spectroscopy; machine learning; deep learning; python
Special Issues, Collections and Topics in MDPI journals
Interests: hyperspectral; imaging; spectroscopy; machine learning; matlab
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Analytical techniques for food authentication and quality control have made significant progress not only in remote high-end laboratories, but also on-site at the so-called point-of-care (POC). This term comprises all techniques that can be moved, carried or are somewhat other mobile to be placed at the location where the analysis has to be carried out. This may cover spectroscopy-based (e.g., NIR, Mid-IR, NMR, Raman) or spectrometry-based techniques (e.g., MS, IMS), as well as sensor technology. Modern chemometric techniques, often also called “machine learning”, as well as deep learning-based approaches are powerful allies for such POC systems and generally allow cloud-based data analysis. This Special Issue wants to focus on such techniques of any type of the field of analytical techniques in combination with modern chemometric strategies.
Dr. Philipp Weller
Dr. José M. Amigo
Guest Editors
Manuscript Submission Information
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Keywords
- spectroscopy
- spectrometry
- chemometrics
- point-of-care
- food authenticity
- quality control
- sensors
