Adsorption of 2, 4 dinitrophenol from aqueous solutions using ordered mesoporous carbon CMK-3

Background and purpose: 2, 4 dinitrophenol is the most important nitrophenol compound that is widely used in paints, adhesives, wood preservatives, solvents, pesticides, and explosive materials. Because of the high toxicity and non-biodegradability of 2, 4 DNP, must be prevented from entering the water body. The aim of this study was to evaluate the performance of ordered mesoporous carbon CMK-3 in adsorption of 2, 4 dinitrophenol from aqueous solutions and the effect of various parameters on the performance of this process. Materials and methods: In this experimental study, mesoporous carbon, CMK-3 was prepared using hexagonal SBA-15 mesoporous silica in a batch reactor. The synthesized materials were characterized by XRD, BET and TEM. After Synthesis of CMK-3, the effect of different parameters were investigated on adsorption process including pH (3-11), contact time (20 -180 min) initial concentration of 2, 4 dinitrophenol (10-500mg/L), and adsorbent dose (0.2-1.2 gr/L). Results: Removal efficiency increased when pH and initial concentration of 2, 4-dinitrophenol decreased and contact time and adsorbant doze increased. The optimum pH was 5 and the equilibrium time was 100 minutes. The optimal dose of CMK-3 was 0.4 g/L and the adsorption capacity of 2, 4 dinitrophenol by CMK-3 was 194 mg/g. Conclusion: In general, mesoporous carbon CMK-3 showed high capacity in removal of 2,4 dinitrophenol from aqueous solutions. Therefore, it can be used in the treatment of wastewater containing 2,4 dinitrophenol. © 2016, Mazandaran University of Medical Sciences. All rights reserved

Fractal-Based Ensemble Classification System for Hyperspectral Images

According to the literature, the utilization of spatial features can significantly enhance the accuracy of hyperspectral image (HSI) classification. Fractal features are powerful measures of texture, representing the local complexity of an image. In HSI classification, textural features are typically extracted from dimensionally reduced data cubes, such as principal component analysis (PCA). However, the effectiveness of textures obtained from alternative feature extraction (FE) methods in improving classification accuracy has not been extensively investigated. This study introduces a new ensemble support vector machine classification system that combines spectral features derived from PCA, minimum noise fraction (MNF), linear discriminant analysis (LDA), and fractal features derived from these FE methods. The final results on two HSI datasets, namely, Indian Pines (IP) and Pavia University (PU), demonstrate that the proposed classification method achieves approximately 95.75% and 99.36% accuracies, outperforming several other spatial–spectral HSI classification methods

SRMs from MD/docking/SW-MLR study

The four states of the HIV-IN molecule which can be used for predicting HIV-IN inhibitory activity. Performing the docking studies on these four receptors and applying an MLR analysis for docking scores can develop the model for predicting HIV-IN inhibitory activity.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Photocatalytic degradation of phenolic compound (Phenol, resorcinol and cresol) by titanium dioxide photocatalyst on ordered mesoporous carbon (CMK-3) support under UV irradiation

The photocatalytic degradation of phenolic compounds (phenol, m-cresol and resorcinol) was investigated by the TiO 2 nanoparticles on ordered mesoporous carbon (CMK-3) support, as a nanocatalyst. CMK-3 and TiO 2 /CMK-3 were synthesized using SBA-15 as a hard template and their properties were determined by transmission electron microscopy, X-ray powder diffraction and N 2 adsorption�desorption. The results showed that CMK-3 was well synthesized and TiO 2 was properly incorporated into CMK-3. The effect of different parameters such as pH, catalyst concentration, phenolic compound concentration and irradiation time on TiO 2 /CMK-3 catalytic activity was investigated. The results showed that photocatalytic degradation of phenolic compounds was strongly influenced by these factors and the optimum conditions for removing the contaminants were pH = 6, TiO 2 /CMK-3 concentration of 0.15 g/L, phenolic compound concentration of 100 mg/L and irradiation time of 150 min. Under optimum conditions, the total organic carbon removal efficiency for phenol, m-cresol and resorcinol was observed to be 74, 62, and 78, respectively. The highest photo-degradation efficiency was obtained at the slightly acidic and near to neutral pH values compared with the alkaline and acidic range. The stability and reusability of TiO 2 /CMK-3 nanocatalyst were observed to be more than five times which it reveals that the TiO 2 /CMK-3 can be considered as a promising catalyst for the long-term degradation of phenolic compounds from aqueous solutions. © 2019 Desalination Publications. All rights reserved

Evaluation of the Marine Algae Gracilaria and its Activated Carbon for the Adsorption of Ni(II) from Wastewater

The batch removal of Ni2+ from aqueous solution and wastewater using marine dried (MD) red algae Gracilaria and its activated carbon (AC) was studied. For these experiments, adsorption of Ni2+ was used to form two biomasses of AC and MD. Both methods used different pH values, biomass and initial concentration of Ni2+. Subsequently adsorption models and kinetic studies were carried out. The maximum efficiencies of Ni2+ removal were 83.55% and 99.04% for MD and AC respectively developed from it. The experimental adsorption data were fitted to the Langmuir adsorption model. The nickel(II) uptake by the biosorbents was best described by pseudo-second order rate model. The kinetic studies showed that the heavy metal uptake was observed more rapidly by the AC with compared to MD. AC method developed from MD biomass exhibited higher biosorption capacity. Adsorption capacity is related to the pH of solution, pH 5.0 is optimal for nickel. The maximum efficiencies of Ni2+ removal were for AC method. The capacity is related to the pH of solution, pH 5.0 is optimal for nickel. The equilibrium adsorption data are correlated by Langmuir isotherm equation. The adsorption kinetic data can be described by the second order kinetic model

Impact of calcium and magnesium ions in identification of offspring gender in rats

Impact of calcium and magnesium in diet to determine offspring gender in rats has been investigated. Sex determination has scientific basis for prevention of genetic diseases in addition to social backgrounds. 20 healthy rats chosen from the first generation of the previous experimented rats were divided into two groups in the ratio male to female 1:5. The first group was Ca and Mg, the second group was control unit without Ca and Mg. It was found that the delivered offspring male to female ratio were 3.3:1 and 1:1 for the first and second groups respectively. Also, it was found that rats fed with (Ca, Mg) food yields maximum numbers of male offspring (77), while rats fed with normal food yields lowest numbers of male offspring (50)

Impact of calcium and magnesium ions in identification of second generation of offspring gender in rats

Impact of calcium and magnesium in diet to determine offspring gender in rats has been investigated. Sex determination has scientific basis for prevention of genetic diseases in addition to social backgrounds. 20 healthy rats chosen from the second generation of the previous experimented rats were divided into two groups in the ratio male to female 1:5. The first group was Ca and Mg, the second group was control unit without Ca and Mg. It was found that the delivered offspring male to female ratio were 2.7:1 and 1:1 for the first and second groups respectively. Also, it was found that rats fed with (Ca, Mg) food yields maximum numbers of female offspring 73, while rats fed with normal food yields lowest numbers of female offspring 50

Removal of lead by activated carbon and citrus coal from drinking water

Heavy metals are one of the most important environmental pollutants. Among heavy metals lead (Pb) which is toxic, well recognized as an environmental pollutant. The main objective of this study was to examine the adsorption efficiency of granular activated carbon for lead (II) removal from aqueous solution compared with citrus charcoal. The removal efficiency was controlled by solution pH, initial ion concentration, height and number of column and its arrangement. The results showed that with increasing the initial concentration of lead the removal efficiency was decreased. The removal rate for citrus coal was more than the granular activated carbon. The optimum time of 120 min was considered. The maximum removal of lead for GAC and citrus coal was observed at pH = 6.5. The maximum removal of lead was observed in the citrus coal/ GAC (98.5). The efficiency of citrus coal for Pb adsorption was higher than the GAC. Citrus Charcoal which considered as a low cost material is mainly produced from waste of citrus. Drinking water standards were obtained using Citrus coal/GAC column in series. © 2018 Desalination Publications. All rights reserved