Innovative Adsorption Materials and Extraction Technology for Food Sample Detection

A special issue of Separations (ISSN 2297-8739).

Deadline for manuscript submissions: 20 December 2025 | Viewed by 93

Special Issue Editors


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Guest Editor
College of Food Science and Engineering, Ningbo University, Ningbo, China
Interests: sample preparation; food safety; solid phase microextraction; nanomaterials; GC-MS; LC-MS; analytical methods

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Guest Editor
Institute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
Interests: sample preparation; food safety; nanomaterials; chemical hazardous
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Special Issue Information

Dear Colleagues,

This Issue seeks to address pressing challenges in food sample detection by advancing cutting-edge methodologies for the extraction and analysis of bioactive and hazardous components in food. With growing global concerns over food contamination, adulteration, and the demand for "farm-to-table" transparency, the development of efficient, sustainable, and selective extraction technologies has become paramount. Traditional methods often face limitations in selectivity, energy consumption, or scalability, necessitating innovations in adsorption materials and extraction techniques.

This Issue emphasizes the integration of material science, process engineering, and analytical chemistry to optimize the extraction of target compounds—such as allergens, pesticides, or mycotoxins—while minimizing co-extraction of interfering substances. Advanced analytical tools, including high-resolution chromatography, tandem mass spectrometry, and hyphenated spectroscopic techniques, are critical for validating extraction efficiency, ensuring extract purity, and enabling precise quantification of trace-level analytes. Furthermore, computational modeling and machine learning applications in process design will be highlighted to bridge experimental and theoretical advancements.

We invite contributions spanning original research, methodological innovations, and comprehensive reviews that explore novel materials, scalable technologies, or interdisciplinary strategies to enhance food safety protocols. Submissions addressing real-world applications, such as rapid on-site detection or industrial-scale implementation, are particularly encouraged.

Dr. Hangzhen Lan
Prof. Dr. Peipei Qi
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • food
  • sample preparation
  • selective extraction
  • chromatography
  • mass spectrometry
  • computational modeling
  • machine learning

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