AIMC Topic: Adsorption
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Machine Learning Using Combined Structural and Chemical Descriptors for Prediction of Methane Adsorption Performance of Metal Organic Frameworks (MOFs).
ACS combinatorial science
Sep 5, 2017
Using molecular simulation for adsorbent screening is computationally expensive and thus prohibitive to materials discovery. Machine learning (ML) algorithms trained on fundamental material properties can potentially provide quick and accurate method...
Impact of density of coating agent on antibacterial activity of silver nanoparticle impregnated plasma treated activated carbon.
Journal of environmental sciences (China)
Aug 30, 2017
To use stabilized nanoparticles (NPs) in water as disinfectants over a very long period, the amount of coating agent (for NP stabilization) needs to be optimized. To this end, silver nanoparticles (Ag-NPs) with two different coating densities of tri-...
Estimation of adsorption isotherm and mass transfer parameters in protein chromatography using artificial neural networks.
Journal of chromatography. A
Jan 27, 2017
Mechanistic modeling has been repeatedly successfully applied in process development and control of protein chromatography. For each combination of adsorbate and adsorbent, the mechanistic models have to be calibrated. Some of the model parameters, s...
Analysis of the Importance of Oxides and Clays in Cd, Cr, Cu, Ni, Pb and Zn Adsorption and Retention with Regression Trees.
PloS one
Jan 10, 2017
This study determines the influence of the different soil components and of the cation-exchange capacity on the adsorption and retention of different heavy metals: cadmium, chromium, copper, nickel, lead and zinc. In order to do so, regression models...
COF-1-modified magnetic nanoparticles for highly selective and efficient solid-phase microextraction of paclitaxel.
Talanta
Dec 21, 2016
Novel covalent organic framework-1 modified magnetic nanoparticles (M-COF-1) were prepared for extraction of paclitaxel from rat plasma samples. Paclitaxel is an important anti-cancer drug in clinical chemotherapy. COF-1 was immobilized on the surfac...
Surface Adsorbed Antibody Characterization Using ToF-SIMS with Principal Component Analysis and Artificial Neural Networks.
Langmuir : the ACS journal of surfaces and colloids
Aug 19, 2016
Artificial neural networks (ANNs) form a class of powerful multivariate analysis techniques, yet their routine use in the surface analysis community is limited. Principal component analysis (PCA) is more commonly employed to reduce the dimensionality...
Ethanol mediated As(III) adsorption onto Zn-loaded pinecone biochar: Experimental investigation, modeling, and optimization using hybrid artificial neural network-genetic algorithm approach.
Journal of environmental sciences (China)
Jul 5, 2016
Organic matters (OMs) and their oxidization products often influence the fate and transport of heavy metals in the subsurface aqueous systems through interaction with the mineral surfaces. This study investigates the ethanol (EtOH)-mediated As(III) a...
Comparison of Boiling and Robotics Automation Method in DNA Extraction for Metagenomic Sequencing of Human Oral Microbes.
PloS one
Apr 22, 2016
The rapid improvement of next-generation sequencing performance now enables us to analyze huge sample sets with more than ten thousand specimens. However, DNA extraction can still be a limiting step in such metagenomic approaches. In this study, we a...
Bifunctional composite from spent "Cyprus coffee" for tetracycline removal and phenol degradation: Solar-Fenton process and artificial neural network.
International journal of biological macromolecules
Aug 28, 2015
Removals of tetracycline and photocatalytic degradation of phenol by Fe3O4/coffee residue (MCC) were investigated. Brunauer-Emmett-Teller (BET), vibrating sample magnetometer (VSM) and Boehm titration were employed to characterize MCC. Artificial neu...
Modeling the binding affinity of structurally diverse industrial chemicals to carbon using the artificial intelligence approaches.
Environmental science and pollution research international
Jul 11, 2015
Binding affinity of chemical to carbon is an important characteristic as it finds vast industrial applications. Experimental determination of the adsorption capacity of diverse chemicals onto carbon is both time and resource intensive, and developmen...
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