The application of machine learning in nanoparticle treated water: A review

Pollution from industrial effluents and domestic waste are two of the most common sources environmental pollutants. Due to rising population manufacturing industries, large amounts pollutants were produced daily. Therefore, enhancements in wastewater treatment render treated provide effective solutions essential return clean safe water be reused industrial, agricultural, sectors. Nanotechnology has been proven as an alternative approach overcoming existing pollution issue. Nanoparticles exhibit high aspect ratios, pore volumes, electrostatic properties, specific surfaces, which explains their efficiency removing such dyes, pesticides, heavy metals, oxygen-demanding wastes, synthetic organic chemicals. Machine learning (ML) is a powerful tool conduct model prediction adverse biological effects nanoparticles treatment. In this review, application ML nanoparticle-treated on different studied it was discovered that removal could predicted through mathematical included ML. Further comparison method can carried out assess performance methods removal. Moreover, future studies regarding nanotoxicity, synthesis process, reusability also necessary take into consideration safeguard environment.