scholarly journals Application of Aloe vera mucilage as bioflocculant for the treatment of textile wastewater: process optimization

2020 ◽  
Vol 82 (11) ◽  
pp. 2446-2459
Author(s):  
Shende Ashwini Prabhakar ◽  
Nupur Ojha ◽  
Nilanjana Das

Abstract Aloe vera is an important commodity plant which has been traditionally used for the treatment of various diseases. This study investigated the use of extracted bioflocculant from Aloe vera for the treatment of textile wastewater. The bioflocculant was extracted, purified and characterized using GC-MS, FTIR, SEM, AFM, EDX and XRD analysis. It was mainly composed of carbohydrate (19.5%) and protein (6.0%). Box-Behnken design (BBD), using 3 level-3 variables, was employed to enhance the decolorization process by optimizing the effect of various factors. A significant enhancement from 62.50 ± 0.1 to 82.01 ± 0.8% in decolorization of wastewater was observed under optimized conditions viz. bioflocculant dosage (60 mg/L), pH (5.0) and contact time (180 min). A quadratic polynomial model was adequate beside the actual statistics at an R2 value of 0.99 for the response decolorization % and was in good agreement with the predicted value (82.01 ± 0.1%) obtained by the RSM model. The results of the present investigation demonstrated that Aloe vera mucilage can serve as a promising bioflocculant with high removal efficiency for solids, colour and dye from wastewater. To the best of our information, this is the first report on the use of Aloe vera mucilage as a natural bioflocculant for the treatment of dye-bearing wastewater.

2018 ◽  
Vol 34 (4) ◽  
pp. 2144-2151
Author(s):  
Srikantha H, S. Mahesh ◽  
Sahana M

A laboratory scale setup was used to remove color from real textile wastewater (TWW) using nano CuO coated electrochemically generated sludge and nano CuO coated GAC. ECC studies were conducted in batch-mode to generate sludge treating real TWW using pre-optimized 4SS electrodes using a 1.5L reactor operated at cell voltage of 18V and current density 180A/m2 at an agitation speed of 500rpm for 60min electrolysis time. SEM, FTIR and XRD analysis confirmed CuO material successfully coated/decorated on electrochemically generated sludge of size ~0.3-0.5mm and GAC of size ~0.5mm. To check the color removal efficiencies from TWW the batch adsorption studies were conducted for adsorbent dose, stirring time and pH. The optimal operating conditions achieved at pH-4, dose of 0.6g/L and 30min contact time for CuO-sludge nano-adsorbent achieving 50-55% color removal. Similarly, for CuO-GAC nano-adsorbent the optimal conditions obtained at pH-4, 0.5 g/L dose and 20min contact time achieving ~100% removal.


2010 ◽  
Vol 13 (1) ◽  
pp. 29-34
Author(s):  
Duc Sy Dao

In this study, the coagulation using poly aluminium chloride (PAC) was applied in order to remove Basic Red 46, a cation dye from wastewater. The effects of some key operating parameters such as PAC dose, pH as well as contact time on the COD and color removal were investigated. Response surface methodology (RSM) showed that PAC dose of 785 mg/L; pH of 12; contact time of 105 minutes were optimum conditions for the coagulation of BR46.


2013 ◽  
Vol 8 (3-4) ◽  
pp. 469-478 ◽  
Author(s):  
Sandip S. Magdum ◽  
Gauri P. Minde ◽  
Upendra S. Adhyapak ◽  
V. Kalyanraman

The aim of this work was to optimize the biodegradation of polyvinyl alcohol (PVA) containing actual textile wastewater for a sustainable treatment solution. The isolated microbial consortia of effective PVA degrader namely Candida Sp. and Pseudomonas Sp., which were responsible for symbiotic degradation of chemical oxidation demand (COD) and PVA from desizing wastewater. In the process optimization, the maximum aeration was essential to achieve a high degradation rate, where as stirring enhances further degradation and foam control. Batch experiments concluded with the need of 16 lpm/l and 150 rpm of air and stirring speed respectively for high rate of COD and PVA degradation. Optimized process leads to 2 days of hydraulic retention time (HRT) with 85–90% PVA degradation. Continuous study also confirmed above treatment process optimization with 85.02% of COD and 90.3% of PVA degradation of effluent with 2 days HRT. This study gives environment friendly and cost effective solution for PVA containing textile wastewater treatment.


2013 ◽  
Vol 91 (9) ◽  
pp. 1783-1789 ◽  
Author(s):  
Yan-Dan Chen ◽  
Wei-Qun Chen ◽  
Biao Huang ◽  
Ming-Jie Huang

Author(s):  
Xi Wang ◽  
Hassan Naji ◽  
Ahmed Mezrhab

In the present study, a numerical investigation is carried out for an isothermal case, a hot case and a cold case with FLUENT code. Three turbulence models are considered: the k-ε realisable model, the RNG k-ε model and the RSM linear model. The obtained results are compared to experiments and show generally a good agreement for the mean velocities and temperatures, but less satisfactory for the turbulent stress. The performance of the RSM model is remarkable. Even if none of the models is able to give the exact experimental pattern on the map of turbulence, the RSM model seems able to predict such configuration.


2018 ◽  
Vol 54 (1) ◽  
pp. 70-78 ◽  
Author(s):  
Ebrahim Mahmoudi ◽  
Farid Moeinpour

Abstract The present research studied the anti-bacterial effect of silver-coated red soil nanoparticles on Gram-negative bacteria Escherichia coli (E. coli) from water. The effects of disinfectant concentration (0.02, 0.05 and 0.1 g/mL), contact time (10, 20 and 30 minutes) and bacteria number (102, 104 and 106 CFU/mL) have been also investigated. To obtain important factors, the interactions between factors and optimal experimental design in surface response method were used based on Box-Behnken design. According to the research findings, the system is efficient in eliminating E. coli. The results showed that E. coli elimination efficiency intensified through increasing the amount of disinfectant from 0.02 to 0.1 g/mL. Expanding contact time from 10 minutes to 30 minutes also heightened the E. coli elimination rate. R2 for E. coli elimination is 0.9956 indicating a good agreement between model experimental data and forecasting data.


2018 ◽  
Vol 7 (3.8) ◽  
pp. 106
Author(s):  
K J.Sosamony ◽  
P A.Soloman

Currently, water pollution control is one of the major logical zones. The textile industry is a major pollution causing industry among the industrial pollutions. Treatment of textile effluent utilizing customary physical as well as chemical strategies is costly, produces enormous amounts of sludge and needs the expansion of lethal chemicals. BOD to COD proportion of textile effluent is low. Thus it is not appropriate to treat textile effluent by a solitary physicochemical or biological process. In this investigation, the textile effluent is dealt with utilizing Moving Bed Bio-film Reactor (MBBR) with the magnetic field after improving the biodegradability by the solar photo-Fenton process. The carriers in MBBR is inoculated with azoarcus bacteria isolated from textile sludge. The fundamental  parameters as pH, carrier filling ratio and contact time were optimized utilizing Box Behnken factual design. The MBBR process has most extreme efficiency at pH 7, filling ratio of 62% and a contact time 2.4 days. In this optimum condition 68.9% BOD and 80% COD  are expelled. At the point when the pretreated wastewater was dealt with MBBR reactor under the influence of magnetic field, the efficiency of the treatment is additionally expanded, so 87.4% COD expulsion and 87% BOD evacuation were accomplished at 12 mT attractive field power when exposure time was at 12 hrs.  


2012 ◽  
Vol 2 (4) ◽  
pp. 317-325 ◽  
Author(s):  
Bhaskar Singh ◽  
Ashish Birla ◽  
S. N. Upadhyay ◽  
Zahira Yaakob ◽  
Yogesh C. Sharma

Author(s):  
THANH XUAN NGUYEN ◽  
HUONG LAN THI PHAM ◽  
THUONG THI NGO ◽  
PHONG XUAN ONG

Objective: To prepare oral curcumin delivery and optimize curcumin loading of 3D-nano-cellulose networks material (3DCM) by looking into the impact of process variables on the response utilizing response surface methodology (RSM) and Box-Behnken design. Methods: Optimization of curcumin loading of 3DCM was conducted using RSM and Box-Behnken model. Impact of four independent variables, including, the concentration of curcumin (X1), temperature (X2), shaking speed (X3), and time of loading (X4), was studied on one dependent response, that is, an amount of loaded curcumin (Y). Characterization of optimized 3DCM including curcumin was examined by Scanning Electron Microscopy (SEM) and Fourier Transform Infrared (FTIR) analysis . Results: R2 value for Y was approximately 0.94. X1 possessed the biggest positive impact compared to X2, X3 and X4. Optimized conditions for curcumin loading of 3DCM were X1 at 3 mg/ml, X2 at 40 °C, X3 at 120 rpm and X4 at 120 min. SEM photograph of 3DCM surfaces were found including fibers creating a 3D network structure. FTIR spectra studies depicted that there was no interaction between curcumin and 3DCM. Conclusion: The data obtained in this study thus suggest that curcumin loaded 3DCM was successfully fabricated to give a potential oral delivery system of curcumin.


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