Spectroscopic Techniques for Chemical Analysis, 2nd Edition
A special issue of Chemosensors (ISSN 2227-9040). This special issue belongs to the section "Analytical Methods, Instrumentation and Miniaturization".
Deadline for manuscript submissions: 30 December 2026 | Viewed by 1568
Special Issue Editors
Interests: food quality control and safety; spectroscopic detection; spectral multivariate analysis; machine/deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: research on rapid nondestructive determination of food and agricultural products; research on nanobiosensor detection of food safety; research on on-line monitoring technology of food processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As the demand rises for rapid food quality control and safety, the need for rapid analysis methods is growing exponentially. Spectroscopic methods, such as UV, visible, NIR, MIR, and Raman spectroscopy, can quickly detect contaminants, assess fruit quality and nutrition, and ensure that products meet standards, thus realizing gradation and boosting consumer confidence. Spectroscopic techniques, paired with machine learning or deep learning, provide a promising, rapid, non-destructive way to obtain accurate chemical fingerprints of food and agricultural products and other daily consumption goods.
Our previous SI, ‘Spectroscopic Techniques for Chemical Analysis’, successfully published nine papers. This Special Issue, ‘Spectroscopic Techniques for Chemical Analysis, 2nd Edition’, aims to present novel advances in the broad field of spectroscopic analysis, from farm to fork, covering all aspects of edible food quality, monitoring, and improvement. It involves spectroscopic studies of nutritional, sensory, sanitary, and technological properties. New advances made in the laboratory, novel strategies for spectroscopic edible food analysis in farm or food processing, and inventive chemometrics and multi-variate and statistical data analysis approaches are strongly welcomed. In this Special Issue, we aim to publish original research results and review papers.
Dr. Leiming Yuan
Dr. Quansheng Chen
Guest Editors
Manuscript Submission Information
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Keywords
- spectroscopic techniques
- chemometrics
- machine/deep learning
- chemical composition analysis
- UV/VIS/NIR/MID spectroscopy
- raman spectroscopy
- quality control and safety
- edible food
- daily consumption of goods
- non-destrucitve determination
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Related Special Issue
- Spectroscopic Techniques for Chemical Analysis in Chemosensors (11 articles)
