The process of removal of heavy metals is important due to their toxic effects on living
organisms and undesirable anthropogenic effects. Conventional methods possess many …

This study discusses biochar and machine learning application. Concept of biochar,
machine learning and different machine learning algorithms used for predicting adsorption …

Inspired by the multi-enzymes cascade catalysis, a novel photon-enzyme cascade catalysis
system described as hybrid HRP-CN/Cu 3 (PO 4) 2 nanoflowers was constructed …

Enzyme-based bioremediation is a simple, cost-effective, and environmentally friendly
method for isolating and removing a wide range of environmental pollutants. This study is a …

Water bodies or aquatic ecosystem are susceptible to heavy metal accumulation and can
adversely affect the environment and human health especially in underdeveloped nations …

In this paper, a neuro-heuristic technique by incorporating artificial neural network models
(NNMs) optimized with sequential quadratic programming (SQP) is proposed to solve the …

Photocatalysts have made great contributions to the degradation of pollutants to achieve
environmental purification. The traditional method of develo** new photocatalysts is to …

This study first reported a magnetic nanoflower biocatalyst of the core-shell magnetic
composite microspheres with a hierarchical flower-like surface structure, which was consist …

Abstract Water Alternating CO 2 injection (WAG CO 2) is one of the most promising EOR
techniques for further recovery improvement. A successful implementation of this method …

Recently, indoor air quality has become a great concern for human health. Volatile organic
compounds (VOCs), are the most common pollutants in the indoor air. Some VOCs such as …