Trained Neural Network Characterizing Variables for Predicting Organic Retention by Nanofiltration Membranes

Many organic compounds cause an irreversible damage to human health and the ecosystem and are present in water resources. Among these hazard substances, phenolic compounds play an important role on the actual contamination. Utilization of membrane technology is increasing exponentially in drinking water production and waste water treatment. The removal of organic compounds by nanofiltration membranes is characterized not only by molecular sieving effects but also by membrane-solute interactions. Influence of the sieving parameters (molecular weight and molecular diameter) and the physicochemical interactions (dissociation constant and molecular hydrophobicity) on the membrane rejection of the organic solutes were studied. The molecular hydrophobicity is expressed as logarithm of octanol-water partition coefficient. This paper proposes a method used that can be used for symbolic knowledge extraction from a trained neural network, once they have been trained with the desired performance and is based on detect the more important variables in problems where exist multicolineality among the input variables

Data Mining with Enhanced Neural Networks-CMMSE

Abstract This paper presents a new method to extract knowledge from existing data sets, that is, to extract symbolic rules using the weights of an Artificial Neural Network. The method has been applied to a neural network with special architecture named Enhanced Neural Network (ENN). This architecture improves the results that have been obtained with multilayer perceptron (MLP). The relationship among the knowledge stored in the weights, the performance of the network and the new implemented algorithm to acquire rules from the weights is explained. The method itself gives a model to follow in the knowledge acquisition with ENN

Binary metal oxides for composite ultrafiltration membranes

A new ultrafiltration membrane was developed by the incorporation of binary metal oxides inside polyethersulfone. Physico-chemical characterization of the binary metal oxides demonstrated that the presence of Ti in the TiO2?ZrO2 system results in an increase of the size of the oxides, and also their dispersity. The crystalline phases of the synthesized binary metal oxides were identified as srilankite and zirconium titanium oxide. The effect of the addition of ZrO2 can be expressed in terms of the inhibition of crystal growth of anocrystalline TiO2 during the synthesis process. For photocatalytic applications the band gap of the synthesized semiconductors was determined, confirming a gradual increase (blue shift) in the band gap as the amount of Zr loading increases. Distinct distributions of binary metal oxides were found along the permeation axis for the synthesized membranes. Particles with Ti are more uniformly dispersed throughout the membrane cross-section. The physico-chemical characterization of membranes showed a strong correlation between some key membrane properties and the spatial particle distribution in the membrane structure. The proximity of metal oxide fillers to the membrane surface determines the hydrophilicity and porosity of modified membranes. Membranes incorporating binary metal oxides were found to be promising candidates for wastewater treatment by ultrafiltration, considering the observed improvement influx and anti-fouling properties of doped membranes. Multi-run fouling tests of doped membranes confirmed the stability of permeation through membranes embedded with binary TiO2?ZrO2 particles

Enhanced ultrafiltration PES membranes doped with mesostructured functionalized silica particles

Novel hybrid ultrafiltration membranes have been prepared by incorporation of mesostructured functionalized silica particles in polyethersulfone. Physico-chemical characterization of synthesized materials was accomplished to determine the textural and structural properties of particles by nitrogen adsorption-desorption and TEM. A successful functionalization of silica with amine and carboxylic groups was confirmed by means of MAS-NMR. Membrane surface morphology was studied in terms of pore size distribution, porosity and hydrophilicity, suggesting a great influence of mesostructured silica incorporation in polyethersulfone on the polymer matrix configuration. Membrane functions were significantly improved as a result of a considerable increase of water permeation without affecting negatively the membrane selectivity. The antifouling membrane properties were also enhanced, especially against irreversible fouling. Multi-run fouling tests of modified membranes confirmed the stability of permeation through membranes doped with mesostructured functionalized silica particles.Peer Reviewe

Highly conductive anion exchange membranes with low water uptake and performance evaluation in electrodialysis

© 2018 Elsevier B.V. The present work reports the preparation of a series of novel highly durable imidazolium-decorated anion exchange membranes (AEMs), with 3D network structure, via ultraviolet crosslinking reaction between 1-vinylimidazole and 1,6-hexanedithiol. AEM modified with trimethylamine (TMA) groups (no crosslinking, 45.7%) showed a significantly reduced water uptake within a range of 14.4–23.6% at 80 °C. Due to relatively good alkali-resistant of imidazolium groups and the compact structure stemmed from crosslinking network, the optimum cross-linked AEM (BPPO-Im 0.3) can retard the degradation and exhibits superior alkaline stability in 1.0 M NaOH at 60 °C for over 15 days, compared with TMA modified AEM. In ED application, BPPO-Im 0.3 AEM has a higher NaCl removal ratio of 77.82% than that of commercial AEM-Type II (74.13%) within 3 h experimental time. Accordingly, it shows higher current efficiency (67.43%) and lower energy consumption (1.94 kWh kg−1 NaCl), compared to commercial one (62.83%; 2.05 kWh kg−1). The facile fabrication process and the better-performance are suggestive of that BPPO-Im 0.3 is potentially applicable in ED.status: publishe

Engineering of thermo-/pH-responsive membranes with enhanced gating coefficients, reversible behaviors and self-cleaning performance through acetic acid boosted microgel assembly

© The Royal Society of Chemistry 2018. Inspired by stomata, a series of single or dual thermo-/pH-responsive smart gating membranes (SGMs) were prepared with in situ assembled stimuli-responsive microgels as gates. Highly cross-linked poly(N-isopropylacrylamide-co-methylacrylic acid) P(NIPAM-co-MAA) microgels underwent in situ surface segregation during the acetic acid-assisted phase inversion process, and they were uniformly decorated on the surface of the membranes and the channels. The hydraulic permeability performance of SGMs was studied within the temperature range of 25-70 °C and a wide pH range (spanning pH 3-11). Investigations revealed that microgels based on different NIPAM/MAA ratios provided different thermo/pH-responsive properties to SGMs. Higher NIPAM/MAA ratios determined the thermo-responsive performance, and higher MAA/NIPAM ratios determined the pH-responsive performance. Moreover, the SGMs with in situ assembled microgels on the surface and channel surface have enhanced gating coefficients, stimuli-reversible behaviours and self-cleaning performance.status: publishe

Thermo- and pH-responsive graphene oxide membranes with tunable nanochannels for water gating and permeability of small molecules

status: publishe

Effect of nanoparticle aggregation at low concentrations of TiO 2 on the hydrophilicity, morphology, and fouling resistance of PES-TiO 2 membranes

The kinetics of the decay rate of atrazine from surface water by ozonation was studied at pH 3, 7, and 9 without and with pretreatment with several pressure-driven membrane filtration methods: ultrafiltration (UF), nanofiltration (NF), and reverse osmosis (RO), in order to determine the influence of the feedwater quality on the chemical oxidation of atrazine. First, the atrazine decay rate was determined in surface water (without pretreatment with membranes) in the presence of natural organic matter (NOM). An increase in the atrazine decay rate is observed at pH 3 and 7 in surface water, which can be attributed to the presence of NOM since it acts as OH radicals promoter. However, at pH = 9, the NOM effect vanishes since at this high pH, the advanced oxidation process (AOP) effect becomes far dominant. The efficiency of combining membrane filtration techniques with a subsequent ozonation step for removing atrazine from surface water mainly depends on the pH and the molecular weight fraction of the NOM. Under acidic conditions only UF enhances the atrazine decay rate since this technique does not retain the low molecular weight fraction of the NOM, which acts as OH radical promoter, while removing the high molecular weight fraction of the NOM which acts as a radical scavenger. At pH = 7, the presence of carbonate/bicarbonate ions as OH radical scavengers starts to prevail over the NOM effect. Because RO is the most efficient technique to decrease the carbonate/bicarbonate content, RO enhances the atrazine decay by more than 50%. At pH = 9, the AOP effect becomes by far dominant and annuls the NOM and carbonate/bicarbonate effect. The efficiency of membrane filtration techniques becomes doubtful in view of their marginal effect on the atrazine removal rate and the low statistical confidence levels of the measured kinetic constants under alkaline conditions