Human Exposure to Microplastics: Pathways, Internal Distribution, Analytical Detection, and Emerging Toxicological Implications
Abstract
The global proliferation of plastic materials has led to an unprecedented accumulation of microplastics and nanoplastics in natural ecosystems, with growing evidence indicating their pervasive presence within the human body. Recent advancements in analytical detection have confirmed microplastics in human blood, lung tissue, liver tissue, and other biological matrices, raising profound concerns regarding their potential health implications. This article presents a comprehensive and theoretically grounded examination of human exposure to microplastics, focusing on environmental sources, exposure pathways, internal distribution mechanisms, detection methodologies, and emerging toxicological evidence. Drawing strictly on peer-reviewed references, this work synthesizes atmospheric, dietary, and occupational exposure routes, while critically examining the physicochemical properties of microplastics that influence bioavailability and biological persistence. Particular emphasis is placed on analytical challenges in detecting microplastics in complex human samples, including the application of μFTIR, GC-MS pyrolysis, and nanoparticle tracking analysis. The article further explores mechanistic insights into tissue translocation, inflammatory responses, oxidative stress, reproductive toxicity, and potential synergistic effects with co-exposed pollutants such as metals and metalloids. By integrating findings from environmental science, toxicology, and biomedical research, this study highlights critical knowledge gaps, methodological limitations, and future research priorities essential for understanding the long-term implications of microplastic exposure on human health. The analysis underscores the urgent need for standardized definitions, harmonized methodologies, and interdisciplinary approaches to accurately assess risk and inform public health policy.
Keywords
References
Most read articles by the same author(s)
- Jean Paul Kazungu, Jean Pierre Ntayagabiri, Jeremie Ndikumagenge, M. Kokou Assogba, QUANTITATIVE EVALUATION OF ARTIFICIAL INTELLIGENCE IN HOSPITAL MANAGEMENT: SYSTEMATIC REVIEW OF REAL-WORLD IMPLEMENTATIONS AND OUTCOMES (2019–2024) , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 02 (2026): Volume 03 Issue 02
- Prof. Kavita Menon, An In-Depth Review of Recent Advances in Cables and Towed Objects for Ocean Engineering Towing Systems , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 08 (2025): Volume 02 Issue 08
- Dr. Emily Chen, Improving Economic Results by Implementing Structured Administrative Governance , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- Dr. Aditya Wijaya, Dr. Putri Lestari, Next-Generation Semantic AI Infrastructure for Sustainable Business Intelligence , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Ismoyilov Diyorbek Bektemir og’li, Fayzillayeva Oykhon Qodir qizi, Esanova Dilsinoy Dilmurod qizi, Artificial Intelligence Today And In The Future , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Linh Thuy Nguyen, Kofi Mensah, OPTIMIZING SOFTWARE EFFORT ESTIMATION: A SYNERGISTIC HYBRID DEEP LEARNING FRAMEWORK WITH ENHANCED METAHEURISTIC OPTIMIZATION , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- Mateo Villarreal, Cloud-Enabled Big Data Analytics: Architectural Foundations, Security Challenges, And Sectoral Applications in The Era of Scalable Digital Intelligence , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Dr. Michael R. Thompson, Architecting Scalable Leader Selection and Community-Aware Coordination in Distributed Systems: A Submodular and Network-Theoretic Perspective , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Aarav Sharma, Ananya Patel, AI-Driven Scalability and Robotics Integration for Sustainable Construction Management , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Miguel A. Rodríguez, A Principal Component Analysis Framework for Characterizing Core-Periphery Structures through Neighborhood-Based Bridge Node Centrality , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 09 (2025): Volume 02 Issue 09
Similar Articles
- Dr. Puneet Garg, Survey of Artificial Intelligence-Driven Test Engineering for Secure Cloud Native Systems , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Saeed Mazrouei, Governance Standards for Intelligent Systems in National Resource Allocation: A Diverse Sector Analysis , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Kwame Mensah, Ama Owusu, Event-Driven Intelligent Manufacturing: Autonomous Exception Resolution Using Multi-Agent Generative AI and SAP S/4HANA , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 09 (2026): Volume 03 Issue 09
- Dr. Leila Karam, Innovative Strategies in Modern Data Warehousing: Integrating Lakehouse Architectures And Enterprise Data Pipelines , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Samuel T. Ridgeway, Factory-Grade GPU Diagnostic Automation in Digital Pathology and Computational Inference Systems: A Cross-Domain Theoretical and Applied Investigation , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Kwame Mensah, Abena Owusu, An Analytical Framework for Neural Network Architectures and Their Emerging Applications , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 10 (2026): Volume 03 Issue 10
- Dr. Adrian Keller, Queuing-Integrated Deep Reinforcement Learning For Adaptive Task Scheduling In Cloud Data Centers , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Ryohei Matsuda, An Integrated Analytical Approach To Assessing Infrastructure Expansion And Forest Degradation Across The Amazon Basin , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 05 (2026): Volume 03 Issue 05
- Jean Claude Ndayizeye, Analyzing Unseen Customer Attributes with Innovative Cohort Identification Techniques , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 02 (2026): Volume 03 Issue 02
- Haruka Saito, Navigating the Incremental Frontier: A Comprehensive Framework for Uplift Modeling, Business Intelligence Integration, And Causal Inference in Financial Decision Systems , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 02 (2026): Volume 03 Issue 02
You may also start an advanced similarity search for this article.