4.7 Article

Projecting the sorption capacity of heavy metal ions onto microplastics in global aquatic environments using artificial neural networks

Journal

JOURNAL OF HAZARDOUS MATERIALS
Volume 402, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.jhazmat.2020.123709

Keywords

Microplastics; Sorption; Heavy metal; ANN prediction

Funding

  1. National Key Research and Development Program [2016YFC1402507]
  2. Program for Changjiang Scholars and Innovative Research Team in University [IRT-13026]

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This paper established artificial neural network (ANN) models to predict the sorption capacity of heavy metal ions onto microplastics in global aquatic environments. The predicted sorption capacity was influenced by the initial concentration of heavy metal ions and the salinity in surrounding water. Aged microplastics had higher affinity to heavy metal ions than virgin microplastics, with larger microplastics showing less sorption of Cd, Pb, and Zn ions. The laboratory studies were found to provide useful information for projecting the sorption capacity of heavy metal ions onto microplastics in global aquatic environments.
Microplastics pollution and their interaction with heavy metal ions have gained global concern. It is essential to develop models to predict the sorption capacity of heavy metal ions onto microplastics in global aquatic envi-ronments, and to connect the laboratory study results with the field measurement results. In this paper, the artificial neural networks (ANN) models were established based on literature data. for The results showed that the ANN model could predict the sorption capacity of heavy metal ions (including Cd, Pb, Cr, Cu, and Zn) onto microplastics in the global environments with high correlation coefficient (R) values (0.926 similar to 0.994). The predicted sorption capacity was influenced by the initial concentration of heavy metal ions and the salinity in surrounding water. The predicted sorption capacity in rivers and lakes was higher than that in the ocean. Aged microplastics had higher affinity to heavy metal ions than virgin microplastics. The predicted sorption capacity of Cd, Pb, and Zn ions onto large microplastics (5 mm) was less than 0.12 mu g/g. The predicted amount was in agreement with the field measurement results, suggesting that the laboratory studies can provide useful information for projecting the sorption capacity of heavy metal ions onto microplastics in global aquatic environments.

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