ViNaNiE
Journal of Environment and Biotechnology Research
Follow us
Share  this page
Advertisement
ViNaNiE
Visit Our Scientific Services
Increase the chance of
your manuscript to get
accepted in high quality
journals
Scientific Services
includes Proof Reading,
Illustration Services and
Many others
______________________________________________________________
Artificial neural network approach for modelling of methyl violet 2B dye adsorption using pomelo skin

Journal of Environment & Biotechnology Research, Vol. 6, No. 3, Pages 238-247, July 2017

Muhammad Khairud Dahri, Muhammad Raziq Rahimi Kooh, Linda Biaw Leng Lim


VIEW FULL TEXT IN PDF


ABSTRACT

This study investigates pomelo peel (PP) as a low-cost adsorbent for removal of methyl violet 2B (MV) by batch adsorption study. The adsorbent was characterised using Fourier-transform infrared spectroscopy. The experiments included the effects of pH, ionic strength, temperature, initial dye concentration and contact time. Modelling of the adsorption process with a three-layer artificial neural network were in good agreement with the experimental data with high correlation coefficient (R=0.9978) and low error (root mean square error =0.01) for 3 neurons in the hidden layer. The data on the investigation of ionic strength (62% dye removal at 0.8 mol/L KNO3) showed that hydrophobic-hydrophobic interaction may be the dominant force of attraction between the adsorbent and adsorbate, as the electrostatic interaction was suppressed at high salt concentration. The pseudo second model best described the adsorption kinetics as the adsorption followed a second order rate law with respect to availability of adsorption sites. The Weber-Morris intraparticle diffusion model indicated that the rate-limiting step was not intraparticle diffusion. Thermodynamics study revealed that PP-MV adsorption system was spontaneous and exothermic in nature. Lastly, the Langmuir model best represented the adsorption process and predicted a superior qmax value of 1.2 mmol/g (468.3 mg/g).
______________________________________________________________
Evaluation of metal bioavailability in the Tega River watershed sediments in Southern Brazil

Journal of Environment & Biotechnology Research, Vol. 6, No. 3, Pages 248-259, July 2017

Michele Schmitz, Marcelo Giovanela, Vania Elisabete Schneider

VIEW FULL TEXT IN PDF


ABSTRACT

Anthropogenic activities have an impact on water resources, especially due to industrial effluent releases. Sediments are the main component of pollutant accumulation, particularly for metals such as lead, cadmium, chromium, zinc and copper. In view of these facts, this work aimed to evaluate the behavior of a hydric body in the municipality of Caxias do Sul (southern Brazil) by analyzing the metal bioavailability in the Tega River watershed sediments and water column at five sampling points. The obtained results showed that the metal concentrations in sediment samples were higher than the values for surface water samples, especially for Cu, Ni, Zn and Cr. Moreover, the largest metal concentrations in the sediments were observed at sampling points 1 and 2, which were located directly in the urban area of the municipality of Caxias do Sul, receiving releases of industrial and domestic effluents, which also possessed the worst water quality indexes. At the other sampling points, the data revealed better water quality indexes and lower metal concentrations, except for sampling point 3, which drains water from the municipality’s industrial district. This municipality is Brazil’s second largest metal-mechanic industrial state, making this activity’s contribution to the level of metal ions at the studied hydric body evident, which highlights the importance of monitoring the quality of water and sediments and promoting an efficient control over the local pollution sources.
______________________________________________________________

Current Issue
Journal of Environment and Biotechnology Research
Volume 6, Number 3, Pages 238-259 (July 2017)

ViNaNiE
Quick Links
QUICK SOLUTIONS
SOCIAL NETWORKS
Copyright © 2017 by VINANIE  ·  All Rights reserved  ·  E-Mail: contact@vinanie.com