Microplastics and Human Health: Impact, Challenges and Interaction Mechanisms

A special issue of Microplastics (ISSN 2673-8929).

Deadline for manuscript submissions: 30 September 2024 | Viewed by 526

Special Issue Editor

Department of Chemical and Environmental Engineering, Technical University of Cartagena (UPCT), Paseo Alfonso XIII, s/n, 30202 Cartagena, Murcia, Spain
Interests: microplastics in wastewater treatment plants; microplastics in human health; marine litter; biodegradation and weathering of microplastics; pollution monitoring

Special Issue Information

Dear Colleagues,

This Special Issue aims to publish original and innovative papers, as well as reviews, meta-analyses, and opinion papers, focused on the following topics:

  • Current status and trends of microplastic pollution in the food chain;
  • Primary exposition to microplastics through the gastrointestinal tract;
  • Studying the impact of airborne microplastics on human health;
  • Interaction of microplastics with physiological, biochemical, and clinical parameters;
  • Association between microplastic levels and corresponding living habits;
  • Potential health risk of environmental-related microplastic exposure;
  • Behavior, toxicity, degradation, and transformation of microplastics in the human body;
  • Technological advancements in microplastic detection and monitoring of microplastic pollution in human fluids and tissues;
  • Microplastics obtained at coroner autopsies.

Dr. Javier Bayo
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. Microplastics is an international peer-reviewed open access quarterly 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 1000 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

  • microplastic pollution
  • internal dose of exposure
  • ingestion
  • inhalation
  • quantitative assessment
  • environmental exposure
  • human health
  • airborne microplastics

Published Papers (1 paper)

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Research

12 pages, 37783 KiB  
Article
Microscopic Image Dataset with Segmentation and Detection Labels for Microplastic Analysis in Sewage: Enhancing Research and Environmental Monitoring
by Gwanghee Lee, Jaeheon Jung, Sangjun Moon, Jihyun Jung and Kyoungson Jhang
Microplastics 2024, 3(2), 264-275; https://doi.org/10.3390/microplastics3020016 - 17 May 2024
Viewed by 292
Abstract
We introduce a novel microscopic image dataset augmented with segmentation and detection labels specifically designed for microplastic analysis in sewage environments. Recognizing the increasing concern over microplastics—particles of synthetic polymers smaller than 5 mm—and their detrimental effects on marine ecosystems and human health, [...] Read more.
We introduce a novel microscopic image dataset augmented with segmentation and detection labels specifically designed for microplastic analysis in sewage environments. Recognizing the increasing concern over microplastics—particles of synthetic polymers smaller than 5 mm—and their detrimental effects on marine ecosystems and human health, our research focuses on enhancing detection and analytical methodologies through advanced computer vision and deep learning techniques. The dataset comprises high-resolution microscopic images of microplastics collected from sewage, meticulously labeled for both segmentation and detection tasks, aiming to facilitate accurate and efficient identification and quantification of microplastic pollution. In addition to dataset development, we present example deep learning models optimized for segmentation and detection of microplastics within complex sewage samples. The models demonstrate significant potential in automating the analysis of microplastic contamination, offering a scalable solution to environmental monitoring challenges. Furthermore, we ensure the accessibility and reproducibility 12 of our research by making the dataset and model codes publicly available, accompanied by detailed 13 documentation on GitHub and LabelBox. Full article
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