Optimization and modelling using the response surface methodology (RSM) for ciprofloxacin removal by electrocoagulation

2015 ◽  
Vol 73 (7) ◽  
pp. 1673-1679 ◽  
Author(s):  
Sibel Barışçı ◽  
Ozge Turkay
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Operating Conditions ◽  
Process Time ◽  
Optimum Conditions ◽  
Applied Current ◽  
Box Behnken Design ◽  
Operational Conditions ◽  
Density Process ◽  
Ciprofloxacin Removal

In this study, response surface methodology (RSM) was used to investigate the effects of different operating conditions on the removal of ciprofloxacin (CIP) by the electrocoagulation (EC) with pure iron electrodes. Box-Behnken design was used for the optimization of the EC process and to evaluate the effects and interactions of process variables such as applied current density, process time, initial CIP concentration and pH on the removal of CIP by the EC process. The optimum conditions for maximum CIP removal (86.6%) were found as pH = 4; Co = 5 mg.L1−; Id = 4.325 mA.cm2−; tprocess = 10 min. The model adequacy and the validity of the optimization step were confirmed with additional experiments which were performed under the proposed optimum conditions. The predicted CIP removal as 86.6% was achieved at each experiment by using the optimum conditions. These results specify that the RSM is a useful tool for optimizing the operational conditions for CIP removal by the EC process.

OPTIMIZATION OF PHYTOESTROGENS EXTRACTION FROM SOY GERM USING RESPONSE SURFACE METHODOLOGY

2021 ◽  
pp. 70-78
Author(s):  
Chau Le Minh
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Ethanol Concentration ◽  
Antioxidant Activities ◽  
Extraction Time ◽  
Optimum Conditions ◽  
Potential Health ◽  
Box Behnken Design ◽  
Independent Variables ◽  
Solid Ratio

Phytoestrogens are phytochemicals with antioxidant activities and potential health benefits. Their contents in soy germ is the highest compared to that in parts of soy seed. Response surface methodology (RSM) using Box Behnken Design of four factors was employed to optimize the extraction conditions for phytoestrogens. The Box Behnken Design with five replicates at central point was applied. The four independent variables investigated in this experiment were extraction time (X1) 60-120 minutes, solvent/solid ratio (X2) 8-12, extraction pH (X3) 8-10, ethanol concentration (X4) 50-70%. The high coefficient values indicated that the variables were fitted to the regression for the total phytoestrogens (R2 = 0.9887). Optimum conditions for maximizing total crude phytoestrogen content were 90 minutes for the extraction time, 12/1 for the extraction ratio, 9 for the extraction pH, and 65%  for the ethanol concentration.

scholarly journals Enzyme-Assisted Mechanical Peeling of Cassava Tubers

Catalysts ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 66
Author(s):  
Ziba Barati ◽  
Sajid Latif ◽  
Sebastian Romuli ◽  
Joachim Müller
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Surface Area ◽  
Incubation Time ◽  
Operating Conditions ◽  
Optimum Operating ◽  
Optimum Conditions ◽  
Peeling Process ◽  
Pre Treatment

In this study, the effect of enzymatic pre-treatment and the size of cassava tubers on mechanical peeling was examined. Cassava tubers were sorted based on their mass as small, medium and large. Viscozyme® L and an abrasive cassava peeling machine was used for the enzymatic pre-treatment and the mechanical peeling, respectively. Response surface methodology (RSM) was used to investigate the effect of the enzyme dose (0.5–1.9 mL g−1), incubation time (1.5–6 h), peeling time (1.5–4.5 min) and size of the tubers (small, medium and large) on the peeling process. Peeled surface area (PSA) and peel loss (PL) were measured as main responses in RSM. Results showed that the PSA and PL were significantly (p < 0.05) influenced by the enzyme dose, incubation time and peeling time. The size of tubers only had a significant impact on the PSA. The optimum operating conditions for different sizes of tubers were found and validated. Under optimum conditions, the PSA of the large tubers (89.52%) was significantly higher than the PSA of the medium and small tubers (p < 0.05). Application of enzymatic pre-treatment can improve the mechanical peeling process especially for larger cassava tubers.

Study on the Extraction Technique of Poly-methoxyflavonoids from Citrus Peels by Using Response Surface Methodology

2012 ◽  
Vol 560-561 ◽  
pp. 544-549
Author(s):  
Cheng Ping Li ◽  
Li Li Wang ◽  
Zai Su Jin ◽  
Lan Tang
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Biological Activities ◽  
Extraction Technique ◽  
Effect Of Temperature ◽  
Optimum Conditions ◽  
Box Behnken Design ◽  
Liquid Material ◽  
Citrus Peels

The objective of the present study is to extract polymethoxy flavonoids such as nobiletin and tangeretin possess several important biological activities ,and to make full of use citrus peels which to be waste or by-product to develop a feasible eco-friendly process to maximize the yield of nobiletin and tangeretin. Box-Behnken design (BBD) based on response surface methodology (RSM) was adopted to investigate the effect of temperature (°C), time (h) and liquid-material ratio (ml/g)on nobiletin and tangeretin extraction. Under the optimum conditions, Extraction yielded polymethoxy flavonoids content of more than 1.15mg/g

scholarly journals Optimization of biosorption of nickel(II) and cadmium(II) by indigenous seaweed Enteromorpha using response surface methodology

2015 ◽  
Vol 50 (2) ◽  
pp. 109-122 ◽  
Author(s):  
Gholamreza Tolian ◽  
Seyed Ali Jafari ◽  
Saeid Zarei
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Contact Time ◽  
Biomass Concentration ◽  
Langmuir Model ◽  
Optimum Conditions ◽  
Box Behnken Design ◽  
Biosorption Capacity ◽  
Independent Variables ◽  
Maximum Sorption

In the present paper, the biosorption capacity of an indigenous seaweed Enteromorpha sp. was assessed and compared for nickel(II) and cadmium(II) removal from aqueous solution. Response surface methodology based on Box–Behnken design was employed to achieve the optimum removal conditions as well as investigating the effects of some independent variables on the process performance. It was found that the maximum nickel(II) removal achieved was 87.16% under optimum conditions of pH 4.79, biomass concentration of 1,000 mg/L, contact time 70 min and temperature of 25 °C. For cadmium the optimum conditions were defined as pH 4.88, biomass concentration of 1,000 mg/L, contact time 50 min and temperature fixed at 65 °C which resulted in a maximum 75.16% removal. Equilibrium isotherm studies revealed that Freundlich and Langmuir models were more successful for describing nickel(II) and cadmium(II) biosorption data, respectively. The maximum sorption capacities of biomass, qmax, for nickel(II) and cadmium(II) were predicted as 250 and 167 mg/g, respectively, by the Langmuir model. The results suggest Enteromorpha seaweed as an eco-friendly and suitable biosorbent for nickel(II) and cadmium(II) removal from aqueous solutions.

Optimisation of biomass catalytic depolymerisation conditions by using response surface methodology

2019 ◽  
Vol 38 (3) ◽  
pp. 322-331
Author(s):  
Mehmet Ünsal ◽  
Işıl Işık-Gülsaç ◽  
Ersin Üresin ◽  
Mustafa Salih Budak ◽  
Kader Özgür-Büyüksakallı ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Energy Consumption ◽  
Reaction Time ◽  
Response Surface ◽  
Product Yield ◽  
Operating Conditions ◽  
Optimum Conditions ◽  
Specific Product ◽  
Bio Oil ◽  
Specific Product Yield

The aim of this study is to present the optimum operating conditions for reducing energy consumption in the process of obtaining bio-oil from the mixture of sawdust, waste lubricating oil, lime, and commercial catalyst. In the study where the catalytic pressureless depolymerisation (also called Katalytische Drucklose Verölung – KDV) was applied, the operating conditions were analysed with response surface methodology. According to the analysis of variance results, a mathematical model was obtained for specific product yield (bio-oil amount/energy consumption g kWe−1). Effects of temperature (260°C–290°C), catalyst rate (1–2 wt.%) and reaction time (0.5–1 h) were investigated. The optimum conditions for the three independent variables (temperature, catalyst rate, reaction time) were 279 ± 2°C, 2 wt.% and 0.5 h, respectively. Maximum specific product yield was obtained as 970.17 g kWe−1. While the reaction time was the most effective regarding the amount of bio-oil obtained at 1 kWe energy consumption, the temperature was found to be the least effective. In addition to these, bio-oil obtained under optimum conditions were characterised and compared with standard diesel specifications.

Development and digestion of resistant malate starch produced by l-malic acid treatment

RSC Advances ◽  
2016 ◽  
Vol 6 (98) ◽  
pp. 96182-96189 ◽  
Author(s):  
Shuang-Qi Tian ◽  
Zi-Liang Wang ◽  
Xin-Wei Wang ◽  
Ren-Yong Zhao
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Malic Acid ◽  
Resistant Starch ◽  
Acid Treatment ◽  
Mass Ratio ◽  
Optimum Conditions ◽  
Box Behnken Design

Resistant starch (RS) was esterified by l-malic acid, and the optimum conditions determined using a response surface methodology (RSM) based on a Box–Behnken design (BBD) were: temperature, 146 °C; pH, 1.46; time, 5.52 h; and mass ratio, 0.60.

scholarly journals Optimasi Adsorpsi Ion Mg2+ pada Fixed Bed Column dengan Menggunakan Response Surface Methodology

REAKTOR ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. 126
Author(s):  
Novi Sylvia ◽  
Meriatna Meriatna ◽  
Fikri Hasfita ◽  
Lukman Hakim
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Flow Rate ◽  
Adsorption Process ◽  
Fixed Bed ◽  
Operating Conditions ◽  
Optimum Operating ◽  
Process Variables ◽  
Fixed Bed Column ◽  
Box Behnken Design

Abstract OPTIMIZATION ADSORPTION OF Mg2+ ION ON FIXED BED COLUMN USING RESPONSE SURFACE METHODOLOGY. Modeling of the adsorption process is used to establish the mathematical relationship between the interacting process variables and process optimization. This is important to determine the factor values that produce a maximum response. Adsorption of Mg from groundwater was optimized using response surface methodology based on Box-Behnken design was used to analyze adsorption data. The process was investigated by continuous experiments. Variables included in the process were: bed depths (7.5, 10, and 12.5 cm), time (20, 40, and 60 min), and flow rate (6, 10, and 14 L/min). Regression analysis was used to analyze the developed models. The outcome of this research showed that 72.784% of the variability in removal efficiency is attributed to the three process variables considered, that is, bed depths, time, and flow rate. Optimization tests showed that the optimum operating conditions for the adsorption process occurred at a bed depth of 11.37 cm, time of 55.53 min and flow rate of 6 L/min. Keywords: adsorption; Box-Behnken design; magnesium (Mg2+); optimization  AbstrakPemodelan dari proses adsorpsi digunakan untuk menentukan hubungan matematis antara variabel proses interaksi dan proses optimasi. Hal ini penting untuk menentukan nilai faktor yang menghasilkan respon maksimum. Adsorpsi magnesium (Mg2+) dari air tanah dioptimalkan menggunakan metodologi respon permukaan model Desain Box-Behnken yang digunakan untuk menganalisis data adsorpsi. Percobaan dilakukan secara kontinyu. Variabel yang termasuk dalam proses tersebut adalah: tinggi unggun (7,5, 10 dan 12,5 cm), waktu kontak (20, 40, dan 60 menit), dan laju alir (6, 10, dan 14 L/menit). Analisis regresi digunakan untuk menganalisis model yang dikembangkan. Hasil penelitian menunjukkan bahwa 72,784% efisiensi penyisihan Mg2+ ditentukan oleh tiga variabel proses, yaitu tinggi unggun, waktu kontak, dan laju alir. Hasil optimasi menunjukkan bahwa kondisi operasi optimum untuk proses adsorpsi terjadi pada tinggi unggun 11,37 cm, waktu kontak 55,53 menit dan laju alir 6 L/menit. Kata kunci: adsorpsi; Box-Behnken desain; magnesium (Mg2+); optimasi

scholarly journals Application of Response Surface Methodology (RSM) for optimizing removal of Cr(VI) wastewater using Cr(VI)-reducing biofilm systems

2014 ◽  
Vol 6 (1) ◽  
Author(s):  
Nurfadilah Mohammed ◽  
Wan Azlina Ahmad
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Operating Conditions ◽  
Optimal Conditions ◽  
Optimum Conditions ◽  
Nutrient Supplementation ◽  
Dependent Variables ◽  
Reduction Efficiency ◽  
Central Composite ◽  
Experimental Runs

Response surface methodology (RSM) involving central composite design (CCD) was employed to obtain optimal conditions for Cr(VI) wastewater treatment by Cr (VI) reducing biofilm systems. On the basis of a CCD, RSM was used to determine the effect of initialmetal concentrations (40-100 mgL-1), nutrient supplementations (10-20%) and flowrate (3-6 mLmin-1) on the levels of response, i.e. Cr(VI) reduction efficiency. A set of 20 experimental runs were needed for optimizing of the operating conditions. Quadratic regressionmodels with estimated coefficients were developed to describe the Cr (VI) reduction. Analysis of variance (ANOVA) showed a highcoefficient of determination (R2) value of 0.9941, thus ensuring a satisfactory adjustment of the second-order regression model with theexperimental data. Cr (VI) reduction had significant effect on all the three dependent variables. The experimental results show that Cr(VI)-reducing biofilm systems could effectively reduce Cr (VI), 100% at the optimum conditions of initial metal concentration of 100mgL-1, nutrient supplementation of 20% and flowrate of 3 mLmin-1. The experimental observations were in reasonable agreement withthe modelled values.

Optimisation of the Oil Extraction from Nigella sativa Seeds Using Response Surface Methodology

2017 ◽  
Vol 68 (2) ◽  
pp. 331-336
Author(s):  
Gabriela Isopencu ◽  
Mirela Marfa ◽  
Iuliana Jipa ◽  
Marta Stroescu ◽  
Anicuta Stoica Guzun ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Nigella Sativa ◽  
Polynomial Equation ◽  
Herbaceous Plant ◽  
Box Behnken Design ◽  
Pareto Analysis ◽  
Black Cumin ◽  
Mediterranean Countries ◽  
Experimental Values

Nigella sativa, also known as black cumin, an annual herbaceous plant growing especially in Mediterranean countries, has recently gained considerable interest not only for its use as spice and condiment but also for its healthy properties of the fixed and essential oil and its potential as a biofuel. Nigella sativa seeds fixed oil, due to its high content in linoleic acid followed by oleic and palmitic acid, could be beneficial to human health. The objective of this study is to determine the optimum conditions for the solvent extraction of Nigella sativa seeds fixed oil using a three-level, three-factor Box-Behnken design (BBD) under response surface methodology (RSM). The obtained experimental data, fitted by a second-order polynomial equation were analysed by Pareto analysis of variance (ANOVA). From a total of 10 coefficients of the statistical model only 5 are important. The obtained experimental values agreed with the predicted ones.

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