Chromatographic Analysis for Food Quality and Safety Detection
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Food Process Engineering".
Deadline for manuscript submissions: closed (10 July 2023) | Viewed by 171
Special Issue Editors
Interests: nanoparticle; magnetic particles; microfluidic chips; MERS; fluorescence detection; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The detection of food safety and quality required techniques for sample extraction, purification, and determination. Chromatographic analysis is critical in this field and has been widely used at various stages of the food chain. It enables the separation, identification, and purification of the components of a mixture for qualitative and quantitative analysis. This emerging trend has made the detection of food quality and contaminants more efficient, costless, and portable. There are several contributing combinations of other technologies associated with chromatographic analysis. The usage of magnetic particles and microfluidic chips in sample preparation and MERS, alongside fluorescence in sample determination, is a promising technique. In addition, deep learning has also been used to evaluate peaks in chromatographic data. These are interesting topics to be discussed.
This Special Issue on “Chromatographic Analysis for Food Quality and Safety Detection” aims to curate novel advances in the development and application of chromatographic analysis in food quality and safety detection. Topics include, but are not limited to, the following:
- The development of chromatographic analysis with new sample separation and purification materials;
- The development of chromatographic analysis with new determination techniques;
- The development of chromatographic analysis with deep learning;
- The development of chromatographic analysis to determine new biomarkers in food quality and contaminants.
Dr. Yang Lu
Dr. Xia Gao
Guest Editors
Manuscript Submission Information
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Keywords
- nanoparticle
- magnetic particles
- microfluidic chips
- MERS
- fluorescence detection
- deep learning
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