Optimasi Produksi Bioetanol pada Fermentasi Hidrolisat Ampas Sagu (Metroxylon sp.) Berdasarkan Rancangan Percobaan Box-Behnken Design (BBD)

Produksi bioetanol dari fermentasi hidrolisat ampas sagu telah dioptimasi berdasarkan kombinasi variabel jumlah ragi, waktu fermentasi dan derajat keasaman (pH) sampel melalui rancangan percobaan Box-Behnken Design (BBD). Penelitian ini bertujuan untuk menentukan kondisi optimum produksi bioetanol dari ampas sagu dengan rancangan Box-Behnken Design (BBD) terhadap variabel jumlah ragi, waktu fermentasi dan pH hidrolisat ampas sagu. Hasil kombinasi dari tiga variabel bebas secara acak oleh program Box-Behnken Design (BBD) adalah 17 set percobaan. Larutan asam sulfat 3,5% digunakan untuk memproduksi hidrolisat ampas sagu yang memiliki pH 1,1 dan larutan NaOH 80% digunakan untuk mengatur pH hidrolisat sebesar 4, 5 dan 6 sebelum difermentasi dengan ragi (Saccharomyces cerevisiae) sebanyak 3 g, 4 g dan 5 g selama 5, 6, dan 7 hari. Hasil fermentasi (bioetanol) dimurnikan dengan metode destilasi dan jumlah kadarnya dihitung dengan prosedur perhitungan rendemen. Data hasil penelitian menunjukkan bahwa setiap set variabel percobaan (jumlah ragi, waktu fermentasi, dan pH) menghasilkan tren peningkatan kadar bioetanol yang kurvatif maksimal. Kadar bioetanol terbesar adalah 5,28% ketika jumlah ragi, waktu fermentasi dan pH hidrolisat berturut-turut sebesar 4 g, 5 hari dan 6.   Kata Kunci: bioetanol; Box-Behnken Design (BBD); fermentasi; hidrolisat ampas sagu

Application of Box-Behnken Design for the Extraction of Padina australis

Optimization extraction of the brown algae Padina australis using the Box-Behnken design has been carried out. Box-Behnken design in relation to Response Surface Methodology analysis was conducted with four experimental factors (i.e., solvent concentration, temperature, extraction time, and sample to solvents ratio) towards the responses of yield antioxidant, anti-tyrosinase, anti-glycation, total phenolic content, and fucoxanthin content, completing with 29 running experiments. P. australis extraction's optimum condition was acquired at 79.99% solvent concentration, 18.48 hours extraction time, 44.50ºC temperature, and 1:9 ratio powders and solvents. The optimum condition provided a 7.30% extraction yield, 43.94% antioxidant activity, 86.83% anti-tyrosinase, 98.06% anti-glycation, 9.53 mg GAE/g total phenolic content, and 347.55 µg/g fucoxanthin content. Respond Surface Methodology analysis with the Box-Behnken design succeeded in making the appropriate model for producing the optimum P. australis extract

Development and optimization of fluoxetine orally disintegrating tablets using Box-Behnken design

Purpose: To develop and optimise some variables that influence fluoxetine orally disintegrating tablets (ODTs) formulation.Methods: Fluoxetine ODTs tablets were prepared using direct compression method. Three-factor, 3- level Box-Behnken design was used to optimize and develop fluoxetine ODT formulation. The design suggested 15 formulations of different lubricant concentration (X1), lubricant mixing time (X2), and compression force (X3) and then their effect was monitored on tablet weight (Y1), thickness (Y2), hardness (Y3), % friability (Y4), and disintegration time (Y5).Results: All powder blends showed acceptable flow properties, ranging from good to excellent. The disintegration time (Y5) was affected directly by lubricant concentration (X1). Lubricant mixing time (X2) had a direct effect on tablet thickness (Y2) and hardness (Y3), while compression force (X3) had a direct impact on tablet hardness (Y3), % friability (Y4) and disintegration time (Y5). Accordingly, Box-Behnken design suggested an optimized formula of 0.86 mg (X1), 15.3 min (X2), and 10.6 KN (X3). Finally, the prediction error percentage responses of Y1, Y2, Y3, Y4, and Y5 were 0.31, 0.52, 2.13, 3.92 and 3.75 %, respectively. Formula 4 and 8 achieved 90 % of drug release within the first 5 min of dissolution test.Conclusion: Fluoxetine ODT formulation has been developed and optimized successfully using Box- Behnken design and has also been manufactured efficiently using direct compression technique.Keywords: Box-Behnken experimental design, Orally disintegrating tablets, Direct compression, Antidepressant, Magnesium stearate, Mixing tim

Optimizing The Machining Process of IS 2062 E250 Steel Plates with The Boring Operation Using a Hybrid Taguchi-Pareto Box Behnken-teaching Learning-based Algorithm

In this article, a new method termed the Taguchi-Pareto-Box Behnken design teaching learning-based optimization (TPBBD–TLBO) was developed to optimize the boring process, which promotes surface roughness as the output. At the same time, the speed, feed, and depth of cut are taken as the inputs. The case examines experimental data from the literature on the boring of IS 2062 E250 steel plates. The proposed method draws from a recent idea on the Taguchi-Pareto-Box Behnken design method that argues for a possible relationship between the Taguchi-Pareto method and the Box Behnken design method. This idea was used as a basis for the further argument that teaching learning-based optimization has a role in the further optimization of the established TPBBD method. The optimal solutions were investigated when the objective function was generated using the Box Behnken design in a case. It was replaced with the regression method in the other case, and the python programming codes were used to execute the computations. Then the optimal solutions concerning the parameters of speed, feed rate, depth of cut, and nose radius were evaluated. With the Box Behnken as the objective function for the TLBO method, convergence was reached at 50 iterations with a class population of 5. The optimal parametric solutions are 800 rpm of speed, 0.06 min/min of feed rate, 1 min for depth of cut, and 0 min for nose radius. On the use of the regression method for the objective function, while the TLBO method was deployed, convergence was experienced after 50 iterations with a class population of 200 students. The optimal parametric solution is 1135rpm of speed, 0.06 min/min of feed rate, 1024 min of the depth of cut, and 0.61 min of nose radius. The speed, depth of cut, and nose radius showed higher values, indicating the use of more energy resources to accomplish the optimal goals using the regression method-based objective function. Therefore, the proposed method constitutes a promising route to optimize further the results of the Taguchi-Pareto-Box Behnken design for boring operation improvement

Decolourization of Acid Orange 7 Dye from Aqueous Solution by Adsorption on NaOH Treated Eggshells in Continuous Fixed Bed Reactor Application using Response Surface Methodology: Optimization by Box–Behnken Design.

NaOH Treated Eggshells   (TES) was investigated for the removal of Acide Orange 7 (AO7) from aqueous solution using the continuous method was modeled by response surface methodology (RSM) and was optimized using Box–Behnken design (BBD) . Fixed bed adsorption has become a frequently used in wastewater treatment processes. Various low cost adsorbents have been studied for their applicability in treatment of different types of effluents.  In this work, the intention of the study was to explore the efficacy and feasibility for azo dye, AO7 adsorption onto fixed bed column of TES. The effect of operating parameters such as flow rate, initial dye concentration, and bed height were exploited in this study. The studies confirmed that the breakthrough curves were dependent on flow rate, initial dye concentration solution of AO7 and bed depth.The precision of the equation obtained by Box–Behnken design (BBD) utility for modeling and optimization by response surface methodology RSM was confirmed by the analysis of variance (ANOVA) and calculation of correlation coefficient relating the predicted and the experimental values of removal of dye. The results revealed a good agreement between the predicted values, as obtained by the model, and the experimental values for AO7. The optimum conditions proposed by Box–Behnken design (BBD) to reach the maximum dye removal through adsorption process. Under the optimum conditions, the removal efficiency of AO7 were 89.89%.The application of response surface methodology in order to optimize using Box–Behnken design (BBD) . The research on modeling adsorption by RSM has been highly developed and The TES was shown to be suitable adsorbent for adsorption of AO7 using fixed-bed adsorption column

Parametric Optimization of Lactic Acid Extraction from Aqueous Solution in a Mixed Flow Reactor using Emulsion Liquid Membrane by Response Surface Methodology

A statistical programme using Box-Behnken design, which applies a response optimization algorithm, was used to calculate and optimize simultaneously the lactic acid extraction by emulsion liquid membrane (ELM) in a mixed flow reactor. A 3-level Box-Behnken design with seven variables i.e. lactic acid concentration, internal reagent concentration, Alamine 336 fraction in oleyl alcohol, stirring speed, fraction of acceptor phase containing internal reagent in emulsion feed: emulsion ratio and residence time was used to identify a significant correlation between the effect of these variables on lactic acid extraction from aqueous phase since the conventional practice of single factor optimization by maintaining other factors at an unspecified constant level does not depict the combined effect of all the factors involved. The experimental values were found to be in good agreement with predicted values. The analysis of the variance (ANOVA) shows that all the extraction process parameters significantly affect the performance and also shows that there are some interactions between the extraction parameters. The contribution of feed: emulsion ratio and stirring speed on extraction efficiency was more than other factors and the fraction of acceptor phase in emulsion has minimum contribution. The optimum value of the process quantities for the maximization of extraction of lactic acid from aqueous phase using ELM in MFR by the application of Box-Behnken design has been found. The recommended optimal conditions have been verified by conducting confirmation experiments. It can be concluded that the Box-Behnken experimental design provides a suitable means of optimizing and testing the robustness of lactic acid extraction in a MFR using emulsion liquid membrane and 100 % lactic acid extraction in MFR using ELM from aqueous feed can be achieved in few minutes within the specified range of independent process parameters

Parametric Optimization of Lactic Acid Extraction from Aqueous Solution in a Mixed Flow Reactor using Emulsion Liquid Membrane by Response Surface Methodology

A statistical programme using Box-Behnken design, which applies a response optimization algorithm, was used to calculate and optimize simultaneously the lactic acid extraction by emulsion liquid membrane (ELM) in a mixed flow reactor. A 3-level Box-Behnken design with seven variables i.e. lactic acid concentration, internal reagent concentration, Alamine 336 fraction in oleyl alcohol, stirring speed, fraction of acceptor phase containing internal reagent in emulsion feed: emulsion ratio and residence time was used to identify a significant correlation between the effect of these variables on lactic acid extraction from aqueous phase since the conventional practice of single factor optimization by maintaining other factors at an unspecified constant level does not depict the combined effect of all the factors involved. The experimental values were found to be in good agreement with predicted values. The analysis of the variance (ANOVA) shows that all the extraction process parameters significantly affect the performance and also shows that there are some interactions between the extraction parameters. The contribution of feed: emulsion ratio and stirring speed on extraction efficiency was more than other factors and the fraction of acceptor phase in emulsion has minimum contribution. The optimum value of the process quantities for the maximization of extraction of lactic acid from aqueous phase using ELM in MFR by the application of Box-Behnken design has been found. The recommended optimal conditions have been verified by conducting confirmation experiments. It can be concluded that the Box-Behnken experimental design provides a suitable means of optimizing and testing the robustness of lactic acid extraction in a MFR using emulsion liquid membrane and 100 % lactic acid extraction in MFR using ELM from aqueous feed can be achieved in few minutes within the specified range of independent process parameters

Hydrophilic polymers based sustained release matrix tablets of Ibuprofen: Optimization of formulation using Box-Behnken statistical design

The current study was aimed to formulate sustained release matrix tablets of Ibuprofen; a Propionic acid derivative, and is non-steroidal anti-inflammatory agent (NSAID) with analgesic and antipyretic properties and optimize by using a 3-factor 3-level Box-Behnken statistical design as an optimization tool. Matrix tablets were prepared by direct compression technique using HPMC(X1), NaCMC(X2) and Xanthan Gum(X3) as independent variables and % release at 2hr (Y1), % release at 12hr (Y2) and hardness (Y3) of tablet were selected as dependent variables. Regression analysis was performed on dissolution data and construct polynomial regression models for these response variables. Polynomial models were further validated using ANOVA and results indicate that all the polymers used have significant effect on selected response (p<0.05). Contour plots were drawn to evaluate the effect of polymer combination on selected responses. The results obtained from kinetic modeling indicate that drug release follows the non-fickian diffusion process. Hence Box-Behnken statistical design facilitates the formulation and optimization of Ibuprofen sustained release matrix tablets to achieve better bioavailability. Keywords: Matrix tablets, Sustained release, Ibuprofen, Ant-inflammatory, Box-Behnken statistical desig

Optimization of Reaction Conditions in the Production of Gadolinium Diethylenetriamine Pentaacetate-Folate

A previous study has performed the laboratory-scale synthesis and characterization of Gadolinium Diethylenetriaminepentaacetate-Folate. Some parameters associated with the synthesis have been defined. In current study was focused on establishment the parameters for scaling up the production of Gadolinium Diethylenetriaminepentaacetate-Folate as a targeted MRI contrast agent. For the purpose of subsequent scaling up the synthesis, the parameters particularly those determining the yield of the reaction product should be established. This report presents the use of The Placket Burman Design and the Response Surface Methodology in establishing the parameters. Thus, following the Placket Burman Design, a number of synthesis reactions were carried out, each with different reaction conditions, with respect to parameters to include: mole ratio of reactants (i.e mole of Gd3+ to DTPA-Folate), time of reaction, temperature, stirring rate, pH and solvent volume. Using this method, a conclusion could be drawn that the three factors were found to be significant. To get final conclusions on the optimal synthesis reaction conditions, the Response Surface Methodology was then applied. For this purpose, again, some synthesis reactions experiments were performed. These were done, in accordance to the Response Surface Methodology, verified by analysis of countour plots, helped to locate the optimal value of the factors. The resulted data showed that for optimal yield of the synthesis reaction there were three dominant parameters. They were mole ratio of reactants, stirring rate process, and the volume of water