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Quantifying the influence of micro and nanoplastics characteristics on cytotoxicity in caco-2 cells through machine learning modelling.
Summary
This systematic review uses machine learning to identify which characteristics of micro and nanoplastics are most toxic to intestinal cells. The researchers found that particle size, shape, and concentration all play important roles in how much damage these plastics cause to gut lining cells, helping us understand how ingested microplastics might affect digestive health.
Plastics released into the environment undergo various forms of deterioration, resulting in the formation of micro- and nanoplastics (MNPs). The Caco-2 cell line is commonly used as a model for studying the effects of MNPs on the intestinal epithelial barrier. However, it remains unclear which MNP parameters most significantly impact Caco-2 cytotoxicity. The objective of the study was to identify the major characteristics of MNPs driving the cytotoxicity in Caco-2 cells. A dataset comprising 320 data points was curated through a systematic review, and a random forest model was formulated using MATLAB software. The dataset included 11 features such as MNP type, size, concentration, exposure time and viability tests. Response Ratio (RR) and Log Response Ratio (LnRR) were used as the response variable for individual performance evaluation. Model performance assessment involved a stratified split of the data into 70 Also see: https://micro2024.sciencesconf.org/559589/document
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