0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Sign in to save

Data and Code: Estimation of LMWOA-C Flux and Aquatic Acidification from Aging Fibrous Microplastics

Zenodo (CERN European Organization for Nuclear Research) 2026
Zhihan Cai, Wangzhe Xia, Aoxue Wu, Li, Zehao, Jianmin Wu, Yamin Chai, Xia Minggui, Xianze Yin

Summary

As tiny plastic fibers break down in water, they release acidic compounds that can make lakes, rivers, and oceans more acidic over time. This research used computer modeling to estimate how much this "plastic acid" buildup could affect water chemistry, which matters because acidification can harm aquatic life and disrupt the food chains that eventually connect back to the fish and seafood we eat. It's an early, math-based estimate rather than direct real-world measurements, so more research is needed to confirm these effects in actual bodies of water.

This dataset contains the complete computational framework for quantifying the acidification potential of aging fibrous microplastics (FMPs) in aquatic environments. We integrate Monte Carlo simulation, proton balance calculations, and dose-response modeling to establish the quantitative relationship between plastic pollution and aquatic acidification.

Share this paper