scholarly journals ADSORPTION OF MALACHITE GREEN DYE USING SPENT COFFEE GROUND BIOCHAR: OPTIMISATION USING RESPONSE SURFACE METHODOLOGY

2020 ◽  
Vol 83 (1) ◽  
pp. 27-36
Author(s):  
Mardawani Mohamad ◽  
Rizki Wannahari ◽  
Rosmawani Mohammad ◽  
Noor Fazliani Shoparwe ◽  
Kwan Wei Lun ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Adsorption Capacity ◽  
Response Surface ◽  
Malachite Green ◽  
Contact Time ◽  
Quadratic Model ◽  
Adsorbent Dosage ◽  
Coffee Grounds ◽  
Spent Coffee Ground ◽  
Coffee Ground

Used coffee grounds usually end up as landfill. However, the unique structural properties of its porous surface make coffee grounds can be transformed into biochar and performed as an alternative low cost adsorbent. Malachite green (MG) is a readily water soluble dye which is used extensively in textile and aquaculture industries. The mordant complex structures of MG generate destructive effects to animals and environment. In this study, adsorption of malachite green using spent coffee ground biochar as adsorbent was investigated. The experiments were designed in two methods: classical and optimisation by response surface methodology. Three parameters were studied, which are adsorbent dosage, contact time and pH while the responses in this study are malachite green removal (%) and adsorption capacity (mg/g). Optimisation studies were performed using response surface methodology. Quadratic model was chosen for both response and studied using central composite design. The correlation coefficient, R2 for the quadratic model of malachite green removal (%) and adsorption capacity (mg/g) were 0.95 and 0.99, respectively. The optimum malachite green removal (%) predicted was found at 99.27%, by using 0.12 g of adsorbent dosage, 43.05 minutes of contact time and pH of 9.45 at desirability of 1.0. The optimum adsorption capacity (mg/g) predicted was found at 118.01 mg/g, by using 0.02 g of adsorbent dosage, 60 minutes of contact time and pH of 10.24 at desirability of 0.98. So, it was concluded that the spent coffee ground biochar can be used as an effective adsorbent for malachite green removal from aqueous solution.

scholarly journals Response surface methodology approach for the optimisation of adsorption of hydrolysed polyacrylamide from polymer-flooding wastewater onto steel slag: a good option of waste mitigation

2017 ◽  
Vol 76 (4) ◽  
pp. 776-784 ◽  
Author(s):  
Mijia Zhu ◽  
Jun Yao ◽  
Zhonghai Qin ◽  
Luning Lian ◽  
Chi Zhang
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Removal Efficiency ◽  
Contact Time ◽  
Interactive Effect ◽  
Steel Slag ◽  
Oxygen Demand ◽  
Polymer Flooding ◽  
High Concentration ◽  
Adsorbent Dosage

Wastewater produced from polymer flooding in oil production features high viscosity and chemical oxygen demand because of the residue of high-concentration polymer hydrolysed polyacrylamide (HPAM). In this study, steel slag, a waste from steel manufacturing, was studied as a low-cost adsorbent for HPAM in wastewater. Optimisation of HPAM adsorption by steel slag was performed with a central composite design under response surface methodology (RSM). Results showed that the maximum removal efficiency of 89.31% was obtained at an adsorbent dosage of 105.2 g/L, contact time of 95.4 min and pH of 5.6. These data were strongly correlated with the experimental values of the RSM model. Single and interactive effect analysis showed that HPAM removal efficiency increased with increasing adsorbent dosage and contact time. Efficiency increased when pH was increased from 2.6 to 5.6 and subsequently decreased from 5.6 to 9.3. It was observed that removal efficiency significantly increased (from 0% to 86.1%) at the initial stage (from 0 min to 60 min) and increased gradually after 60 min with an adsorbent dosage of 105.2 g/L, pH of 5.6. The adsorption kinetics was well correlated with the pseudo-second-order equation. Removal of HPAM from the studied water samples indicated that steel slag can be utilised for the pre-treatment of polymer-flooding wastewater.

scholarly journals Highly efficient Cd(II) adsorption using mercapto-modified bentonite as a novel adsorbent: an experimental design application based on response surface methodology for optimization

2018 ◽  
Vol 78 (6) ◽  
pp. 1348-1360 ◽  
Author(s):  
Ümit Ecer ◽  
Şakir Yılmaz ◽  
Tekin Şahan
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Kinetic Studies ◽  
Quadratic Model ◽  
Aqueous Environment ◽  
Order Kinetic ◽  
Adsorbent Dosage ◽  
Modified Bentonite ◽  
Initial Ph ◽  
Equilibrium Data

Abstract We report the optimization with response surface methodology (RSM) for adsorption conditions required for removal of Cd(II) from an aqueous environment with 3-mercaptopropyl trimethoxysilane-modified bentonite (MMB). Central composite design (CCD) in RSM was used to optimize the most significant adsorption variables of initial pH, temperature (°C), initial Cd(II) concentration (Co, mg L−1) and adsorbent dosage (g). With the quadratic model equation obtained from CCD, the optimum values were determined as initial pH 6.40, temperature 20 °C, Co 49.55 mg L−1 and adsorbent dosage 0.17 g. Under optimum conditions, the optimum adsorption amount of Cd(II) was 27.55 mg Cd(II)/g adsorbent and adsorption yield was 94.52%. The obtained results showed that the Langmuir and Dubinin Radushkevich (D-R) adsorption isotherms were more suitable for adsorption equilibrium data. The kinetic studies indicated that the pseudo-second-order kinetic model was fitted to the adsorption kinetic data. Additionally, thermodynamic studies indicated that the adsorption process was spontaneous and exothermic. As a result, MMB can be chosen as an effective adsorbent for treating heavy metals such as Cd(II) in wastewater and removing them from aqueous solutions. Furthermore, it is thought that it will positively contribute to the literature since the adsorbent-adsorbate combination (MMB-Cd(II)) is used for the first time.

scholarly journals MODELLING AND OPTIMIZING THE APPLICATION OF WASTE TYRE POWDER (WTP) AS OIL SORBENT, USING RESPONSE SURFACE METHODOLOGY (RSM)

2020 ◽  
Vol 1 (2) ◽  
pp. 1-12
Author(s):  
A. O. Odeh ◽  
L. A. Okpaire
Keyword(s):  
Particle Size ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Sorption Capacity ◽  
Automobile Industry ◽  
Contact Time ◽  
Quadratic Model ◽  
Oil Sorption ◽  
Oil Sorbent ◽  
Waste Tyre

The rapid growth of the automobile industry has led to the abundance and indiscriminate disposal of waste tyres which causes environmental pollution and also lead to serious health problems. The absorption of crude oil using waste tyre powder (WTP) was investigated. A three variable Box-Behnken design was used to study the effect of particle size, contact time and temperature on the oil sorption capacity of WTP. Optimization was carried out using Response Surface Methodology (RSM). A quadratic model was obtained to predict the oil sorption capacity of WTP as a function of particle size, contact time and temperature. The optimum conditions of the sorption process obtained from RSM gave a temperature of 30.19oC, contact time 59.04 mins and particle size 0.15mm. A maximum oil sorption capacity of 4.71 g/g was obtained at these optimized conditions. Also, a comparison between the oil sorption efficiency of fresh tyre powder and regenerated tyre powder subjected to the same conditions of particle size, contact time and temperature were carried out. It was shown that the oil sorption capacity of the fresh tyre powder was higher than that of regenerated tyre powder.

Response Surface Methodology as a Tool to Study the Removal of Amido Black Dye from Aqueous Solution using Anionic Clay Hydrotalcite

2010 ◽  
Vol 7 (1) ◽  
pp. 51
Author(s):  
Yamin Yasin ◽  
Nur Syahirah Abdul Latif ◽  
Abdul Hafiz Abdul Malik
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Contact Time ◽  
Interactive Effects ◽  
Optimum Conditions ◽  
Solution Ph ◽  
Adsorbent Dosage ◽  
Anionic Clay ◽  
Amido Black ◽  
Optimization Parameters

Anionic clay hydrotalcite was used as an adsorbent to remove amido black dye from aqueous solutions. Response surface methodology (RSM) based on a five-level, four-variable Central Composite Rotatable Design (CCRD) was employed to evaluate the interactive effects of various optimization parameters. The parameters were contact time (6-10 hrs), solution pH (4-8), adsorbent dosage (200-600 mg) and dye concentration (50-100 mg/I). Simultaneously increasing contact time, initial concentration and amount of adsorbent dosage increased the quantity of amido black dye removed. The optimum conditions derived via RSM for the reaction were a reaction time of 8.48 hrs, a concentration of 58. 09 mg/I, an adsorbent dosage of 431. 2 4 mg/L and a solution pH of 6.27. The experimental percentage removal was 85.55 % under optimum conditions, which compares well with the maximum predicted value of 87.95 %.

scholarly journals Biosorption Processof Synthetic Textile Waste-water using Bjerkandera Agustavia Response Surface Methodology (RSM)

2018 ◽  
Vol 68 ◽  
pp. 04020
Author(s):  
Ariani Dwi Astuti ◽  
Khalida Muda
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Textile Industry ◽  
Contact Time ◽  
Textile Wastewater ◽  
Quadratic Model ◽  
Biosorption Process ◽  
Physico Chemical ◽  
Inorganic Species ◽  
Effects Of Ph

Textile industry generates large quantities of wastewater. Discharging effluent of textile industry without treatment is led to the degradation of the quality of receiving water bodies.A high color, high BOD/COD and salt (Total Dissolved Solids, TDS) load are founded in the textile wastewater. Several alternative of methods,including physico-chemical methods such as filtration, carbon activated, coagulation and chemical flocculation have been used to treat textile industry wastewater. Although these methods are effective, but they are expensive and result concentrated sludge that creates a secondary disposal problem. The passive uptake of organic and inorganic species including metals and dyes from aqueous solutions by the use of non-growing/living microbial mass or their derivatives is namely biosorption.The effects of pH, weight of biosorbent, contact time and size of biosorbent in biosorption process using Bjerkandera adusta in synthetic textile wastewater were investigated and optimized using response surface methodology (RSM). The optimum removal conditions were determined at pH 4, contact time 90 minutes, weight of biosorbent 3000 mg/L, and size of biosorbent 0.4 mm. Color removal of 53.55% was demonstrated, the experimental data and model predictions agreed well. In the optimization, R2 and 2correlation coefficients for the quadratic model was estimated quite satisfactorily as 0.988 and 0.977, respectively.

scholarly journals Enhancing the Decolorization of Methylene Blue Using a Low-Cost Super-Absorbent Aided by Response Surface Methodology

Molecules ◽  
2021 ◽  
Vol 26 (15) ◽  
pp. 4430
Author(s):  
Nor Hakimin Abdullah ◽  
Mazlan Mohamed ◽  
Norshahidatul Akmar Mohd Shohaimi ◽  
Azwan Mat Lazim ◽  
Ahmad Zamani Abdul Halim ◽  
...  
Keyword(s):  
Methylene Blue ◽  
Response Surface Methodology ◽  
Activated Carbon ◽  
Response Surface ◽  
Oil Palm ◽  
Contact Time ◽  
Low Cost ◽  
Aqueous Media ◽  
Adsorbent Dosage ◽  
Oil Palm Trunk

The presence of organic dyes from industrial wastewater can cause pollution and exacerbate environmental problems; therefore, in the present work, activated carbon was synthesized from locally available oil palm trunk (OPT) biomass as a low-cost adsorbent to remove synthetic dye from aqueous media. The physical properties of the synthesized oil palm trunk activated carbon (OPTAC) were analyzed by SEM, FTIR-ATR, and XRD. The concurrent effects of the process variables (adsorbent dosage (g), methylene blue (MB) concentration (mg/L), and contact time (h)) on the MB removal percentage from aqueous solution were studied using a three-factor three-level Box–Behnken design (BBD) of response surface methodology (RSM), followed by the optimization of MB adsorption using OPTAC as the adsorbent. Based on the results of the analysis of variance (ANOVA) for the three parameters considered, adsorbent dosage (X1) is the most crucial parameter, with an F-value of 1857.43, followed by MB concentration (X2) and contact time (X3) with the F-values of 95.60 and 29.48, respectively. Furthermore, the highest MB removal efficiency of 97.9% was achieved at the optimum X1, X2, and X3 of 1.5 g, 200 mg/L, and 2 h, respectively.

Response Surface Methodology as a Tool to Study the Removal of Amido Black Dye from Aqueous Solution using Anionic Clay Hydrotalcite

2010 ◽  
Vol 7 (1) ◽  
pp. 51
Author(s):  
Yamin Yasin ◽  
Nur Syahirah Abdul Latif ◽  
Abdul Hafiz Abdul Malik
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Contact Time ◽  
Interactive Effects ◽  
Optimum Conditions ◽  
Solution Ph ◽  
Adsorbent Dosage ◽  
Anionic Clay ◽  
Amido Black ◽  
Optimization Parameters

Anionic clay hydrotalcite was used as an adsorbent to remove amido black dye from aqueous solutions. Response surface methodology (RSM) based on a jive-level, four-variable Central Composite Rotatable Design (CCRD) was employedto evaluate the interactive effects ofvarious optimization parameters. The parameters were contact time (6-10 hrs), solution pH (4-8), adsorbent dosage (200-600 mg) and dye concentration (50-100 mg//). Simultaneously increasing contact time, initial concentration and amount ofadsorbent dosage increased the quantity ofamido black dye removed. The optimum conditions derived via RSM for the reaction were a reaction time of 8.48 hrs, a concentration of58.09 mg/l, an adsorbent dosage of431.24 mg/L anda solution pHof6.27. The experimental percentage removal was 85.55 % under optimum conditions, which compares well with the maximum predicted value of 87.95 %.

scholarly journals Optimization of photocatalytic degradation of naproxen from aqueous solutions with UV/ZnO process: Response Surface Methodology (RSM)

2020 ◽  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Removal Efficiency ◽  
Contact Time ◽  
Operating Conditions ◽  
Quadratic Model ◽  
Order Model ◽  
First Order ◽  
Concentration Time ◽  
Central Composite

<p>The aim of this study was to optimize the removal of Naproxen (NPX) by the UV/ZnO photocatalytic process using response surface methodology based on Central Composite Design (CCD). The effect of parameters such as ZnO concentration, contact time, pH, temperature, and initial NPX concentration were studied. The ANOVA results indicated high coefficient values of adjusted R2 (0.9843) and predicted R2 (0.9695). The quadratic model with the highest R-squared designation was chosen to predict the NPX removal efficiency of the UV/ZnO process. Under optimal conditions that include an optimum initial NPX concentration of 21.59 mg/L, ZnO concentration of 371.15 mg/L, contact time of 73.92 min, pH of 6.87, and temperature of 24.35°C, a NPX removal efficiency value of 71.19% was obtained. The results show that the removal of NPX is most affected by the variables- initial NPX concentration, time, pH, and ZnO concentration, respectively, but temperature as a variable does not have a significant effect on the efficiency of the process. Moreover, the NPX photodegradation kinetics can be explained through the pseudo-first-order model. The UV/ZnO photocatalytic method has high potential for the removal of NPX, and that CCD is an appropriate method to optimize the operating conditions for NPX photodegradation.</p>

EXTRACTION OPTIMIZATION AND ANTIOXIDANT ACTIVITY OF PHENOLIC COMPOUNDS FROM AVOCADO PEEL

2019 ◽  
pp. 49-59
Author(s):  
Nu Linh Giang Ton ◽  
Thi Hoai Nguyen ◽  
Quoc Hung Vo
Keyword(s):  
Antioxidant Activity ◽  
Response Surface Methodology ◽  
Antioxidant Capacity ◽  
Response Surface ◽  
Total Antioxidant Capacity ◽  
Total Phenolic Content ◽  
Phenolic Content ◽  
Quadratic Model ◽  
Total Phenolic ◽  
Total Antioxidant

Avocado peel has been considered as a potential source of natural antioxidants in which phenolics are among the most important compounds. Therefore, this study aims to optimize the extraction process of phenolics using response surface methodology and evaluate the corresponding antioxidant activity. From the quadratic model, the optimal condition was determined including the ethanol concentration 54.55% (v/v), the solvent/solute ratio 71.82/1 (mL/g), temperature 53.03 oC and extraction time 99.09 min. The total phenolic content and the total antioxidant capacity at this condition with minor modifications were 26,74 ± 0,04 (mg GAE/g DW) and 188.06 ± 1.41 (mg AAE/g DW), respectively. The significant correlation between total phenolic content and total antioxidant capacity was also confirmed. Key words: response surface methodology, central composite rotatable design, total phenolic content, total antioxidant capacity, avocado peel

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