AI Medical Compendium Journal:
Journal of hazardous materials

Showing 91 to 97 of 97 articles

Using machine learning and quantum chemistry descriptors to predict the toxicity of ionic liquids.

Journal of hazardous materials
Large-scale application of ionic liquids (ILs) hinges on the advancement of designable and eco-friendly nature. Research of the potential toxicity of ILs towards different organisms and trophic levels is insufficient. Quantitative structure-activity ...

Biosynthesis of copper nanoparticles using Shewanella loihica PV-4 with antibacterial activity: Novel approach and mechanisms investigation.

Journal of hazardous materials
Metallic nanoparticle based disinfection represents a promising approach for microbial pollution control in drinking water and thus, biosynthesis of non precious metal nanoparticles is of considerable interest. Herein, an original and efficient route...

Rhodococcus wratislaviensis strain 9: An efficient p-nitrophenol degrader with a great potential for bioremediation.

Journal of hazardous materials
A Gram-positive bacterium, Rhodococcus wratislaviensis strain 9, was isolated from groundwater contaminated with nitrophenolics and trichloroethene following enrichment culture technique. The cells of strain 9 grown on LB broth (uninduced) degraded 7...

Rapid removal of radioactive cesium by polyacrylonitrile nanofibers containing Prussian blue.

Journal of hazardous materials
After the Fukushima Daiichi Nuclear Power Plant disaster in Japan in 2011, the demand drastically increased for efficient technology for the removal of radioactive cesium. Prussian blue (PB) nanoparticles have shown excellent adsorption ability towar...

Fuzzy comprehensive evaluation of multiple environmental factors for swine building assessment and control.

Journal of hazardous materials
In confined swine buildings, temperature, humidity, and air quality are all important for animal health and productivity. However, the current swine building environmental control is only based on temperature; and evaluation and control methods based...

A prediction model of ammonia emission from a fattening pig room based on the indoor concentration using adaptive neuro fuzzy inference system.

Journal of hazardous materials
Ammonia (NH) is considered one of the significant pollutions contributor to indoor air quality and odor gas emission from swine house because of the negative impact on the health of pigs, the workers and local environment. Prediction models could pro...

Modelling the removal of volatile pollutants under transient conditions in a two-stage bioreactor using artificial neural networks.

Journal of hazardous materials
A two-stage biological waste gas treatment system consisting of a first stage biotrickling filter (BTF) and second stage biofilter (BF) was tested for the removal of a gas-phase methanol (M), hydrogen sulphide (HS) and α-pinene (P) mixture. The biore...