Spectroscopic Techniques for Chemical Analysis
A special issue of Chemosensors (ISSN 2227-9040). This special issue belongs to the section "Analytical Methods, Instrumentation and Miniaturization".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 400
Special Issue Editors
Interests: food quality control and safety; spectroscopic detection; spectral multivariate analysis; machine/deep learning
Interests: research on the rapid non-destructive determination of food and agricultural products; research on the nanobiosensor detection of food safety; research on the on-line monitoring technology of food processing
Special Issue Information
Dear Colleagues,
We are excited to announce a Special Issue on "Spectroscopic Techniques for Chemical Analysis". 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 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.
This Special Issue 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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