A Comparison Study of Mechanism: Cu2+Adsorption on Different Adsorbents and Their Surface-Modified Adsorbents

The isothermal adsorption kinetics of Cu2+onto Carbon Black (CB) and Oxidized Carbon Black (OCB) were studied under different solution conditions and compared with bentonite and organic bentonite with the hexadecyltrimethylammonium bromide (HDTMA). The adsorption capacities followed the order of OCB > CB > organic bentonite > bentonite, which was consistent with the orders of their surface roughness and specific surface area. The Fourier transmission infrared (FT-IR) spectroscopy, scanning electron microscopy (SEM), and transmission electron microscope (TEM) were used to explore the adsorption mechanism at molecular level. The adsorption process onto CB was physical adsorption. However, with the increase of oxygen-containing functional groups (C=O, C-O, and CNO), the chelation adsorption onto OCB became gradually dominant except physical adsorption. The ion exchange adsorption was the major adsorption mechanism of bentonite. The compounds were introduced into clay interlayer by complexing reaction with Cu2+, which improved the adsorption capacity of organic bentonite. The results present a significant implication for the environmental fate assessment of heavy metal pollution.

The Study of Organic Bentonite Competitive Adsorption Model for Phenol and Cr6+ Based on MATLAB

Competitive adsorption of phenol and Cr6+ in organic bentonite was studied in this paper. To solve the problem of multivariate nonlinear model of competition adsorption for Cr6+ and phenol on organic bentonite, MATLAB was used to process data to get parameter equation. The parameter equation fitting could explain competitive adsorption behavior of phenol and Cr6+ on organic bentonite. According to the fitting equation of 3D graphics,the result was deduced that the higher concentration of Cr6+, the lower the concentration of phenol. Phenol adsorption on organic bentonite is influenced by Cr6+.

Research on the Preparation of Organic Modified Bentonite and the Control of Biological Invasion in Ballast Water

In this research, the effect of modified bentonite on removing harmful organisms in ballast water was discussed using HDTMA+ modified bentonite as flocculating material, and Alexandrium tamarense, Nitzchia closterium, and Photobacterium phosphoreum as the objects of harmful organisms, and also through an observation of the reaction mechanism between HDTMA+ and bentonite with Fourier transform infrared spectroscopy (FTIR). The result showed that there was an effective combination of HDTMA+ with bentonite, and the modified organic bentonite possessed a powerful ability to remove harmful organisms. The removal rate against Alexandrium tamarense within 24h was greater than 85% if the dosage of the organic bentonite was 0.03 g/L; the removal rate against Nitzchia closterium was approximate to 80% if the dosage was 0.06 g/L; the luminous intensity could not be displayed by luminescent bacteria under the condition of concentration 0.30 g/L, and also the original soil with modification did not shown a significant removal effect under the same dosage. Therefore, it was concluded that the conditions such as aging time, organic bentonite’s particle size, and HDTMA+ dosage were the important factors affecting the harmful biological removal efficiency.

Study on Model of Organic Bentonite Adsorption for Phenol Based on Artificial Neural Network

This paper studied the adsorption of organic bentonite for phenol solution by changing the condition of organic bentonite dosage, phenol concentration temperature, adsorption time. According to the experimental results The system of BP neural network was evaluated by Matlab software to forecasting the complex nonlinear relationship between the amount of phenol solution concentration, adsorption time, solution temperature and remove rate of phenol, Experimental data used for the neural network model is more than 534 times of training. After training, the model achieves an accuracy of 0.0001. Finally, a group of test is forecasted by the data model. The results showed that predictive value and measured value of absolute error is only 0.0032 and0.0016. The predicted results show that in the system, a BP neural network model is evaluated successful..This template explains and demonstrates how to prepare your camera-ready paper forTrans Tech Publications. The best is to read these instructions and follow the outline of this text.

Adsorption of hexavalent chromium onto organic bentonite modified by the use of iron(III) chloride

The adsorption of hexavalent chromium (Cr(VI)) was improved by using organic bentonite (OB) modified with iron(III) chloride. The adsorption mechanisms and characteristics of OB and organic bentonite modified by FeCl3 (FMOB) were studied by using X-ray diffraction, Fourier transform infrared spectroscopy, scanning electron microscopy, and energy dispersive X-ray spectroscopy (EDS). It was found that hydroxyl-iron replaced some of the calcium and magnesium contained in the FMOB, but no significant change in its structure was shown even though the adsorption experiments proved that FMOB had a better Cr(VI) adsorption ability compared to OB. The coated material was prepared by mixing FMOB and 4A molecular sieves in a coated pot for the adsorption experiments in the test column. The relevant results showed that the adsorption of the coated material retained its high adsorption ability and maintained that ability after desorption and regeneration, which implied a potential for further application.

Effects of Silane Coupling Agent/Organic Bentonite on Tea Saponin Intumescent Flame-Retardant Coatings

In this paper, silane coupling agent and organic modified bentonite were used in tea saponin intumescent flame-retardant coatings to improve the flowability, storage stability and film properties. The effects of silane coupling agent and organic modified bentonite on the flowability, storage stability and film properties were discussed, and flame resistance and pyrolysis performance of the flame-retardant coatings also were investigated. The results show that silane coupling agent can greatly improve the rheological properties, storage stability and film properties of the flame-retardant coating at the amount of 1.5%. Flame-retardant coatings have good dispersion properties and thixotropy, When bentonite modified with cetyltrimethylammonium chloride (CTAC-Bentonite) was introduced to the coatings. Fire resistance test and TG-DTG analysis showed that silane coupling agent/organic bentonite can promote the charring of the coatings and increase the amount of char, which protecting the internal substrates, reducing the thermal degradation rate. What's more, the flame retardancy of the materials was improved significantly owing to the increasing of the amount of residual carbon and the enhancing of thermal stability at a high temperature.