Topic Editors

Department of Chemical, Physical, Mathematical and Natural Sciences, University of Sassari, Via Vienna, 2, 07100 Sassari, Italy
1. Department of Chemical Engineering and Analytical Chemistry, Faculty of Chemistry, University of Barcelona, Martí i Franquès 1-11, E-08028 Barcelona, Spain
2. Research Institute in Food Nutrition and Food Safety, Universitat de Barcelona, Av. Prat de la Riba 171, Edifici Recerca (GaudĂ­), E08921 Santa Coloma de Gramenet, Spain
Department of Analytical Chemistry, Faculty of Chemistry and Pharmacy, Sofia University St. Kliment Ohridski, 1164 Sofia, Bulgaria
Department Industrial Chemistry "Toso Montanari", University of Bologna, Via Piero Gobetti 85, 40129 Bologna, Italy

Progress in Analytical Chemistry in Materials and Food and Environmental Samples—Second Edition

Abstract submission deadline
31 October 2027
Manuscript submission deadline
31 December 2027
Viewed by
275

Topic Information

Dear Colleagues,

The success of the first edition of this Topic has highlighted how analytical chemistry remains a fundamental pillar for the advancement of modern science. From material characterization to food safety and environmental protection, the demand for increasingly sensitive, rapid, and sustainable analytical methodologies is constantly growing. In this second edition, we aim to further explore the latest breakthroughs in chemical analysis, with a particular focus on the paradigm shift introduced by Digital Transformation and Artificial Intelligence (AI). Modern analytical chemistry is no longer just about "measuring"; it is about extracting meaningful knowledge from complex multidimensional data. We welcome original research papers and review articles that address, but are not limited to, the following areas: Methodological Innovations: New strategies in sample preparation, miniaturization (Lab-on-a-Chip), and the development of "green" analytical protocols.

Advanced Materials: Characterization of polymers, nanomaterials, and smart coatings. Food and Environment: Detection of emerging contaminants (microplastics, PFAS, residues) and authentication of food products. AI and Data Science Integration: This edition specifically encourages contributions on the application of artificial intelligence, machine learning, and deep learning in:

  • optimizing experimental designs and instrumental parameters;
  • automated signal processing and denoising;
  • advanced chemometrics for classification, clustering, and regression in "omics" sciences; development of predictive models for environmental monitoring and food shelf-life.


By bridging the gap between traditional analytical excellence and modern computational power, this Topic aims to provide a comprehensive overview of how our discipline is evolving to solve the global challenges of the 21st century.

Prof. Gavino Sanna
Prof. Dr. Oscar Núñez
Prof. Dr. Stefan Tsakovski
Prof. Domenica Tonelli
Topic Editors

Keywords

  • analytical method development
  • food safety and authenticity
  • environmental monitoring
  • emerging contaminants
  • material characterization
  • green analytical chemistry
  • artificial intelligence (AI) in chemistry
  • machine learning and deep learning
  • advanced chemometrics
  • high-resolution mass spectrometry (HRMS)
  • sensors and biosensors
  • automated data processing

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Analytica
analytica
3.6 3.7 2020 19 Days CHF 1200 Submit
Biosensors
biosensors
5.6 9.8 2011 20.6 Days CHF 2200 Submit
Foods
foods
5.1 8.7 2012 15 Days CHF 2900 Submit
Molecules
molecules
4.6 8.6 1996 15.1 Days CHF 2700 Submit
Processes
processes
2.8 5.5 2013 14.9 Days CHF 2400 Submit
Purification
purification
- - 2025 15.0 days * CHF 1000 Submit
Separations
separations
2.7 4.5 2014 16 Days CHF 2600 Submit

* Median value for all MDPI journals in the second half of 2025.


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Published Papers

This Topic is now open for submission.
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