Phosphate Adsorption from Solution by Zirconium-Loaded Carbon Nanotubes in Batch Mode

2019 ◽  
Vol 64 (6) ◽  
pp. 2849-2858 ◽  
Author(s):  
Yifan Gu ◽  
Mengmeng Yang ◽  
Weili Wang ◽  
Runping Han
2019 ◽  
Vol 138 ◽  
pp. 368-378 ◽  
Author(s):  
Yifan Gu ◽  
Mingyu Liu ◽  
Mengmeng Yang ◽  
Weili Wang ◽  
Shusheng Zhang ◽  
...  

2019 ◽  
Vol 159 ◽  
pp. 365-376
Author(s):  
Mengmeng Yang ◽  
Xiaoyu Li ◽  
Weili Wang ◽  
Shusheng Zhang ◽  
Runping Han

2017 ◽  
Vol 15 (4) ◽  
pp. 526-535 ◽  
Author(s):  
Mehdi Bahrami ◽  
Mohammad Javad Amiri ◽  
Mohammad Reza Mahmoudi ◽  
Sara Koochaki

Permanent monitoring of environmental issues demands efficient, accurate, and user-friendly pollutant prediction methods, particularly from operating variables. In this research, the efficiency of multiple polynomial regression in predicting the adsorption capacity of caffeine (q) from an experimental batch mode by multi-walled carbon nanotubes (MWCNTs) was investigated. The MWCNTs were specified by scanning electron microscope, Fourier transform infrared spectroscopy and point of zero charge. The results confirmed that the MWCNTs have a high capacity to uptake caffeine from the wastewater. Five parameters including pH, reaction time (t), adsorbent mass (M), temperature (T) and initial pollutant concentration (C) were selected as input model data and q as the output. The results indicated that multiple polynomial regression which employed C, M and t was the best model (normalized root mean square error = 0.0916 and R2 = 0.996). The sensitivity analysis indicated that the predicted q is more sensitive to the C, followed by M, and t. The results indicated that the pH and temperature have no significant effect on the adsorption capacity of caffeine in batch mode experiments. The results displayed that estimations are slightly overestimated. This study demonstrated that the multiple polynomial regression could be an accurate and faster alternative to available difficult and time-consuming models for q prediction.


2006 ◽  
Vol 110 (33) ◽  
pp. 16219-16224 ◽  
Author(s):  
Suzana Gotovac ◽  
Yoshiyuki Hattori ◽  
Daisuke Noguchi ◽  
Jun-ichi Miyamoto ◽  
Mamiko Kanamaru ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Tawfik A. Saleh ◽  
Mohammad N. Siddiqui ◽  
Abdulrahman A. Al-Arfaj

This work reported on the development of novel nanomaterials of multiwalled carbon nanotubes doped with titania (CNT/TiO2) for the adsorptive desulfurization of model fuel oils. Various analytical techniques such as field emission scanning electron microscope (FESEM), energy dispersive X-ray spectroscopy (EDX), and Fourier transform infrared spectroscopy (FTIR) were used for the characterization of the nanomaterials. The initial results indicated the effectiveness of the prepared CNT/TiO2nanomaterials in removing sulfur compounds from model fuel oil. The adsorption of DBT, BT, and thiophene from model fuel onto the derived sorbents was performed using batch mode system. These CNT/TiO2nanomaterials initially afforded approximately 45% removal of DBT, 55% BT, and more than 65% thiophene compounds from model fuels. The CNT/TiO2nanomaterials provided an excellent activity towards interaction with organosulfur compounds. More experiments are underway to optimize the parameters for the adsorptive desulfurization processes. We believe that these nanomaterials as adsorbents will find useful applications in petroleum industry because of their operational simplicity, high efficiency, and high capacity.


Author(s):  
Katlakanti Mohan Reddy ◽  
Samarth Pratap Singh

AbstractPresence of nitrate and phosphate ions is difficult to remove from the lakes, as they are highly soluble in water. A way of chemical method adopted to remove these ions from the drinking water using the simple method use of naturally abundant chitosan with charcoal. Adsorption of nitrate and phosphate anions from aqueous solution (water/waste water) on both the chitosan and activated charcoal was investigated. In batch mode adsorption study leads to developing efficient low-cost removal method is important to protect the aquatic environment from the high concentration of nitrate and phosphate anions intake as well as adverse effects on human health. The modified chitosan microspheres had a laudable performance for nitrate and phosphate adsorption Use of this material as an adsorbent is a cheaper and biocompatible method. A systematic study of the adsorption of nitrate and phosphate anions on chitosan and activated charcoal was performed by varying the pH, the initial concentration, contact time, and adsorbent dosage. The results demonstrate that the adsorption process was followed adsorption kinetics of both first and second order kinetics when we use of the chitosan and activated charcoal and chitosan is promising for treating water that is contaminated with nitrate and phosphate anions.


Author(s):  
Jun Jiao

HREM studies of the carbonaceous material deposited on the cathode of a Huffman-Krätschmer arc reactor have shown a rich variety of multiple-walled nano-clusters of different shapes and forms. The preparation of the samples, as well as the variety of cluster shapes, including triangular, rhombohedral and pentagonal projections, are described elsewhere.The close registry imposed on the nanotubes, focuses attention on the cluster growth mechanism. The strict parallelism in the graphitic separation of the tube walls is maintained through changes of form and size, often leading to 180° turns, and accommodating neighboring clusters and defects. Iijima et. al. have proposed a growth scheme in terms of pentagonal and heptagonal defects and their combinations in a hexagonal graphitic matrix, the first bending the surface inward, and the second outward. We report here HREM observations that support Iijima’s suggestions, and add some new features that refine the interpretation of the growth mechanism. The structural elements of our observations are briefly summarized in the following four micrographs, taken in a Hitachi H-8100 TEM operating at an accelerating voltage of 200 kV and with a point-to-point resolution of 0.20 nm.


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