Analysis of Environmental Distribution, Mechanisms of Effects, and Risk of Pollutants Driven by New Technologies
A special issue of Toxics (ISSN 2305-6304). This special issue belongs to the section "Novel Methods in Toxicology Research".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 5
Special Issue Editors
Interests: environmental omics; ecotoxicity; water quality criteria; environmental risk assessment; emerging pollutants; environmental DNA
Special Issues, Collections and Topics in MDPI journals
Interests: water quality criteria; environmental risk assessment; emerging pollutants; environmental DNA
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) and machine learning (ML) algorithms (such as deep learning and random forests) deeply explore complex correlations and patterns in massive eDNA, omics data, and traditional monitoring data to precisely map the dynamic spatiotemporal distribution of pollutants across multiple media, identify migration and transformation hotspots, construct predictive models (such as QSAR), and analyze their toxic effects. Based on this, risk assessment and management have entered a brand-new AI era.
With this in mind, this Special Issue will provide updated insights into the application of new technologies in environmental pollutants. Topics of interest include environmental distribution, health effects, and risk management, with a particular focus on emerging pollutants and priority pollutants.
We invite pioneering scientists to submit their work to this Special Issue. Research articles, reviews, perspectives, commentary, etc., providing evidence on how to use new technologies to conduct pollutant research are welcome.
Dr. Zhen-Guang Yan
Dr. Yizhang Zhang
Dr. Yifan Zheng
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Toxics is an international peer-reviewed open access monthly journal published by MDPI.
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
- artificial intelligence
- machine learning
- environmental DNA
- emerging pollutants
- optimal control pollutants
- environmental omics
- risk assessment
- risk management
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