Progress in Green Analytical Methods for the Detection of Trace Substances in Complex Matrices
A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Analytical Chemistry".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 1597
Editors
Interests: analytical chemistry; development, optimization and validation of analytical methods; chemometrics; mass spectrometry; hyphenated techniques; sample preparation; metabolomics
Special Issues, Collections and Topics in MDPI journals
Interests: analytical chemistry; development, optimization and validation of analytical methods; sample preparation; mass spectrometry; gas and liquid chromatography; metabolomics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sustainable practices in analytical chemistry aim to minimize solvent use, waste generation, and energy consumption without compromising analytical performance. Emphasis is placed on green approaches based on the replacement of toxic solvents, the adoption of miniaturized sample preparation techniques, and the implementation of on-line and in-line protocols should be developed to detect trace substances in complex matrices, minimizing the impact on both human health and the environment. This Issue also explores integrated analytical strategies to assess the benefits and limitations of both green and conventional methods. Greenness evaluation remains a challenging task: contributions addressing the advancement of assessment tools and metrics are encouraged.
This Special Issue will focus on all aspects of green analytical chemistry, from innovation in materials for sample treatment, method development, validation, and application across various fields such as environmental monitoring, food safety, pharmaceuticals, and biological analysis.
Dr. Federica Bianchi
Dr. Nicolò Riboni
Guest Editors
Manuscript Submission Information
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Keywords
- green analytical chemistry
- greenness evaluation metrics
- integrated analytical platforms
- miniaturized sample preparation
- green materials for sample pre-treatment
- on-line and in-line sampling
- automatization
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