Screening and Recognition of New Pollutants
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Environmental Science and Engineering".
Deadline for manuscript submissions: closed (25 December 2023) | Viewed by 367
Special Issue Editors
Interests: contaminant detection and removal; chromatographic analysis
Interests: ecotoxicology; computational (predictive) toxicology and pollution eco-chemistry
Special Issue Information
Dear Colleagues,
The study of qualified new pollutants is a popular field of environmental chemistry worldwide. However, so far, our understanding of new pollutants is fragmentary. "New" means new industries and a short time frame for discovery; thus, little is known about these pollutants in terms of their scale of production, their physical and chemical properties, their impact on the ecological environment, and how best to control the unknown risks they pose. It is of great significance to carry out research on the screening and recognition/identification of new pollutants to provide crucial insight and technical basis/support in relation to pollution’s occurrence, behavior, risks and reduction/control/remediation. Therefore, this Special Issue aims to invite domestic and international experts in environmental and analytical chemistry to contribute related research, review, and perspective papers on the screening and identification of new pollutants. Topics might include, but not limited to, the following points:
- Classic analytical methods for new pollutant findings;
- Classic or advanced sample preparation/pretreatment materials, and methods and techniques for new pollutants;
- Chromatography, mass spectrometry, electrochemistry, and optical analysis methods;
- In situ real-time rapid sampling and detection methods and instruments;
- New principle findings;
- Machine learning and big data use;
- Sample pretreatment methods for total components;
- Pollutant substitution and target analysis of new chemicals;
- Non-target analysis of unknown objects.
Dr. Jinhua Li
Dr. Fei Li
Guest Editors
Manuscript Submission Information
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Keywords
- new pollutants
- emerging contaminant
- screening
- identification
- recognition
- sample preparation/pretreatment
- rapid detection
- sampling instrument
- machine learning
- big data
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