New Insights into the Effects of Multi-Pollutant Mixtures on the Environment and Populations

Dear Colleagues,

Exposure to multi-pollutant mixtures represents a reality for many populations and ecosystems, yet studies that model these complex interactions remain limited. This Special Issue aims to address this gap by inviting research that explores the combined effects of multi-pollutant mixtures on environmental and biological systems. By focusing on biological and chemical investigations and supporting these with advanced statistical and computational techniques, we hope to deepen the understanding of multi-pollutant exposures and their impacts on health and ecosystems.

Scope and Themes

Traditional single-pollutant assessments often overlook the interactive, cumulative, and potentially synergistic effects of pollutant mixtures. This Special Issue encourages studies that investigate these interactions, with a focus on biological and chemical analyses as the foundation, while highlighting statistical and computational methods as complementary tools. Submissions on the following themes are welcome:

• Biological and Chemical Mechanisms: Studies that uncover the biological pathways and chemical interactions of multi-pollutant exposures, enhancing our understanding of their effects on organisms and ecosystems. Research on biomarkers, physiological responses, and mechanisms of action is particularly encouraged.
• Health and Environmental Impact Studies: Epidemiological and ecotoxicological studies that examine health effects in populations and ecosystems exposed to pollutant mixtures, particularly those at greater risk. Studies exploring physiological and environmental risk profiles are of high interest.
• Multi-Omics and Biological Pathways: Research that uses multi-omics data (e.g., genomics, proteomics) to reveal biological mechanisms affected by pollutant mixtures, with an emphasis on applications that improve risk assessment and intervention strategies.
• Environmental Justice and Exposure Disparities: Studies examining socio-demographic disparities in exposure, health outcomes, and ecosystem vulnerability, with an emphasis on equitable risk assessment approaches and environmental justice concerns.
• Integrative Statistical, Modeling, and Data Science Approaches as Supportive Techniques: Articles that present advanced modeling or data science methods to support biological and chemical analyses, capturing complex interactions, addressing correlated exposures, or enhancing data integration and efficiency in multi-pollutant studies.

This Special Issue invites interdisciplinary work that bridges biological and chemical science with supportive data science and policy insights, advancing holistic understanding of multi-pollutant exposures. By emphasizing biological and chemical research and supporting it with integrative modeling, we hope to inform evidence-based policies and strategies to protect environmental and public health.

Dr. Emmanuel Obeng-Gyasi
Guest Editor

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. Journal of Xenobiotics is an international peer-reviewed open access semimonthly 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 1600 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.

• multi-pollutant mixtures
• health and environmental impact
• multi-omics and biological pathways
• environmental justice and exposure disparities
• integrative statistical, modeling, and data science approaches