Study on the Rice Straw Pretreated with NaOH for Biogasification

In this study, Box-Behnken design (BBD) and response surface analysis (RSA) methodology were employed to plan experiments and optimize the NaOH pretreatment of rice straw. Experimental results showed that concentration of NaOH (CS), treatment time (TT) and ratio of rice straw with NaOH (RS) were main factors governing the biogasification of rice straw. The polynomial equation describing the biogasification as a simultaneous function of the CS, TT and RS was confirmed. The FTIR analysis and SEM images of straws further confirmed that NaOH could disrupt the silicified waxy surface, break down the lignin-hemicellulose complex and partially remove silicon and lignin from the pretreated rice straw.

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

Revista de Chimie ◽

10.37358/rc.17.2.5447 ◽

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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Optimization of meat analog production from concentrated soy protein and yam (Xanthosoma sagittifolium) powder using pasta machine

Food Research ◽

10.26656/fr.2017.4(3).357 ◽

2020 ◽

Vol 4 (3) ◽

pp. 887-895

Author(s):

T. Lindriati ◽

H. Herlina ◽

H. Arbiantara ◽

M. Asrofi

Keyword(s):

Response Surface ◽

Soy Protein ◽

Production Condition ◽

Mixing Time ◽

Polynomial Equation ◽

Water Addition ◽

Box Behnken Design ◽

Xanthosoma Sagittifolium ◽

Meat Analog ◽

Optimum Production

The objectives of this study were to determine the effect of Xanthosoma sagitifolium powder (XSP), mixing time and water on meat analog characters and to optimize these parameters in meat analog production using Response Surface Methodology with BoxBehnken design. Meat analog is produced from mixing XSP and concentrated soy protein using a household pasta machine. The observation was made at the range of XSP proportion 0 - 80%, mixing time 6 - 18 mins and water addition 70 - 150%. Fourier Transform Infra-red (FTIR) was employed to determine the alteration of the functional bond. The results of FTIR observation showed that the highest intensity obtained when XSP proportion, mixing time and water addition are 20%, 9 mins and 140% respectively. The experimental data obtained from the Box-Behnken design was in accordance with the second order polynomial equation. Moreover, the 3D response surface derived from mathematical models was used to optimize the production condition. The optimum production conditions are XSP proportion of 30%, water addition of 140% and mixing time of 12 mins which produced meat analog having WHC of 145.3542±5.7384%, OHC of 43.7869±7.8725% and texture of 90.32±0.37 gr/mm.

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The Experimental Study of Fennel Oil Separation and Purification Using Response Surface Analysis

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.455-456.834 ◽

2012 ◽

Vol 455-456 ◽

pp. 834-839 ◽

Cited By ~ 1

Author(s):

Wei Qiang Tang ◽

Shi Tao Nie ◽

Yang Xiao Lv ◽

Kai Feng Liang

Keyword(s):

Response Surface ◽

Surface Analysis ◽

Feeding Rate ◽

Response Surface Analysis ◽

Separation And Purification ◽

Optimal Process ◽

Box Behnken Design ◽

Evaporation Temperature ◽

Single Factor Analysis ◽

Fennel Oil

The Response Surface Analysis using the BBD (Box-Behnken Design) design (Design Expert, Cabit Information Technology Co., Ltd) was applied in identifying the optimal process parameters for the separation and purification of fennel oil using molecular distillation technology. The experiments were carried out based on single factor analysis (feeding rate, evaporation temperature and film wiping speed). The dependent variable second-order regression equation was obtained. The optimal conditions were identified as: feeding rate = 2 drops/second, evaporation temperature = 50°C and film wiping speed = 215 rpm. The concentration of anisole in the extraction under the optimized condition reached 86.69%.

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The Optimization of Pb(II),Cu(II),Zn(II) and Cd(II) Ions Removal by Micro-Electrolysis Using Response Surface Methodology

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.800.537 ◽

2013 ◽

Vol 800 ◽

pp. 537-545

Author(s):

Jian Ping Xu ◽

Zhi Huang ◽

Yan Ling Gao

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Mine Drainage ◽

Polynomial Equation ◽

Interactive Effects ◽

Quadratic Model ◽

Design Matrix ◽

Box Behnken Design ◽

Operating Variables ◽

Order Polynomial

In this study, the Box–Behnken design matrix and response surface methodology (RSM) have been applied in the experiments to evaluate the interactive effects of four most important operating variables: pH (2.0–4.0), temperature (30–40°C )，iron/carbon ratio（1/2–3/2）and iron carbon amounts (2-4) on the removal of Pb (II), Cu(II)，Zn (II) and Cd (II) ions in acid mine drainage with micro-electrolysis (ME) . The total 29 experiments were conducted in the present study for the construction of a quadratic model. The independent variables have significant value 0.0001, which indicates the importance of these variables in the ME process. The values of “Prob > F” less than 0.0500 indicate that model terms are significant for the removal of Cr (VI), Ni (II) and Zn (II) ions. The regression equation coefficients were calculated and the data fitted to a second-order polynomial equation for removal of Pb (II), Cu(II)，Zn (II) and Cd (II) ions with ME.

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Microwave Assisted Alkali Pretreatment of Rice Straw for Enhancing Enzymatic Digestibility

Journal of Energy ◽

10.1155/2014/483813 ◽

2014 ◽

Vol 2014 ◽

pp. 1-7 ◽

Cited By ~ 16

Author(s):

Renu Singh ◽

Sapna Tiwari ◽

Monika Srivastava ◽

Ashish Shukla

Keyword(s):

Rice Straw ◽

Energy Demand ◽

Crystallinity Index ◽

Composition Analysis ◽

Renewable Energy Resources ◽

Alkali Pretreatment ◽

Enzymatic Digestibility ◽

Sem Images ◽

Microwave Assisted ◽

Naoh Pretreatment

Rapid industrialization, increasing energy demand, and climate change are the conditions that forced the researchers to develop a clean, efficient, renewable, and sustainable source of energy which has a potential to replace fossil fuels. Ethanol is one of the attractive and suitable renewable energy resources. In present study, effectiveness of microwave pretreatment in combination with sodium hydroxide (NaOH) for increasing enzymatic hydrolysis of rice straw has been investigated and under optimum conditions obtained a maximum reducing sugar (1334.79 µg/mL) through microwave assisted NaOH pretreatment. Chemical composition analysis and scanning electron microscope (SEM) images showed that the removal of lignin, hemicellulose, and silicon content is more in microwave assisted NaOH pretreatment than the blank sample. X-ray diffraction (XRD) analysis revealed that the crystallinity index of rice straw treated with microwave assisted alkali (54.55%) is significantly high as compared to the blank (49.07%). Hence, the present study proves that microwave assisted alkali pretreatment can effectively enhance enzymatic digestibility of rice straw and it is feasible to convert rice straw for bioethanol production.

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Optimized Extraction of Ganglioside from Sika Deer Antler

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.850-851.1133 ◽

2013 ◽

Vol 850-851 ◽

pp. 1133-1136

Author(s):

Ni Na Bao ◽

Yong Guang Yin ◽

Quan Kai Wang

Keyword(s):

Response Surface ◽

Sika Deer ◽

Soluble Fraction ◽

Maximum Yield ◽

Polynomial Equation ◽

Raw Material ◽

Deer Antler ◽

Box Behnken Design ◽

Order Polynomial ◽

Contour Plots

In this study the extraction of ganglioside from the lipid soluble fraction of sika deer antler was investigated using response surface methodology (RSM). A three-level Box-Behnken design which was based on the results of a single-factor test was employed to optimize the parameters for extraction of ganglioside. The experimental results were fitted with a second-order polynomial equation by a multiple regression analysis. By solving the regression equation and also by analyzing the response surface contour plots, the optimal ganglioside extraction conditions were determined: ratio of liquid to raw material 11, temperature 40°C and time 7min, and the maximum yield of ganglioside extraction was 1.25%.

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Loteprednol Etabonate Nanoparticles: Optimization via Box-Behnken Design Response Surface Methodology and Physicochemical Characterization

Current Drug Delivery ◽

10.2174/1567201813666160801125235 ◽

2017 ◽

Vol 14 (5) ◽

Cited By ~ 3

Author(s):

Abhishek K. Sah ◽

Preeti K. Suresh

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Physicochemical Characterization ◽

Loteprednol Etabonate ◽

Box Behnken Design

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High Voltage Electric Discharge for Recovery of Chlorogenic Acid from Tobacco Waste

Sustainability ◽

10.3390/su13084481 ◽

2021 ◽

Vol 13 (8) ◽

pp. 4481

Author(s):

Marija Banožić ◽

Antun Jozinović ◽

Jovana Grgić ◽

Borislav Miličević ◽

Stela Jokić

Keyword(s):

Chlorogenic Acid ◽

Process Parameters ◽

Electric Discharge ◽

High Voltage ◽

Treatment Time ◽

Strong Dependence ◽

Extraction Procedure ◽

Polynomial Equation ◽

Experimental Conditions ◽

Tobacco Waste

Three fractions of tobacco waste (scrap, dust and midrib) were subjected to a high voltage electric discharge (HVED) assisted extraction procedure under different experimental conditions: solvent:solid ratio (300, 500, 700 mL/g), frequency (40, 70, 100 Hz) and treatment time (15, 30, 45 min), in order to study the influence of these conditions on the content of chlorogenic acid. The content of chlorogenic acid ranged from 1.54 to 3.66 mg/100 g for scrap, from 1.90 to 2.97 mg/100 g for dust, and from 2.30 to 3.38 mg/100 g for midrib extract, showing a strong dependence on the applied process parameters. The temperature change and the change in pH and electrical conductivity of the extracts after high voltage discharge treatment were also observed. The studied process parameters showed a statistically significant effect on the chemical and physical properties of the extracts from tobacco waste as well as on the content of chlorogenic acid, indicating the potential of HVED assisted processes in the separation of chlorogenic acid from tobacco industry waste. Multiple regression analysis was used to fit the results for the chlorogenic acid to a second order polynomial equation and the optimum conditions were determined.

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