Response surface methodology (RSM) for assessing the effects of pretreatment, feedstock, and enzyme complex association on cellulose hydrolysis

Campos, Leila Maria Aguilera; Moura, Heloise O. M. A.; Cruz, Antonio José Gonçalves; Assumpção, Samira M. N. de; Carvalho, Luciene Santos de; Pontes, Luiz Antônio Magalhães

doi:10.1007/s13399-020-00756-4

Cited by 21 publications

(17 citation statements)

References 43 publications

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“…The three responses R 2 and R 2 (adj) values are more than 75% which is acceptable in the regression analysis of ANOVA. 45 So, it is obvious that the model equation of response parameters is best fitted with the experimental data and can be used for designing the solar panel response parameters. The F value and p values also justified the effectiveness of regression analysis in the ANOVA model.…”

Section: Optimization Methodsmentioning

confidence: 99%

Optimizing the performance of solar panel cooling apparatus by application of response surface methodology

Singh

Yadav

2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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The high temperature of the solar photovoltaic module reduced the power output and efficiency of the solar panel. Water cooling is one of the best options for reducing the temperature of solar panels. In this research paper, an experimental setup of solar panel with water cooling arrangements has been developed and optimized. The measured experimental data and data generated by model equations have been optimized by the Response Surface Methodology (RSM) tool in the Design of Experiment. The optimized responses are the efficiency of solar panels, module temperature (MT) of solar panel, and exergetic efficiency. The main input parameters solar flux, water inlet velocity, and atmospheric temperature varied from 600 W/m2 to 1000 W/m2, 0.5 to 0.9 m/s, and 25°C to 45°C, respectively. The best set of input parameters after optimization in RSM is 705 W/m2 solar flux, 0.7263 m/s water inlet velocity, and 32.87°C atmospheric temperature on which the values of responses MT, exergetic efficiency and solar panel efficiency are 48.98 °C, 19.18 %, and 18.88 % respectively. The experimental setup of solar panel cooling has been run on these input parameters setting and responses are validated with the predicted value of the RSM and the previous research. The calculated percentage error in MT is 2.41%, solar panel efficiency is 1.62%, and exergetic efficiency is 3.82%.

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Section: Optimization Methodsmentioning

confidence: 99%

Optimizing the performance of solar panel cooling apparatus by application of response surface methodology

Singh

Yadav

2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…6. Generally, the effects distributed normally (i.e., fall along a straight line in the plot) are considered insignificant, while the significant effects show up as outliers on the normal probability plot (Hu et al 2016;Campos et al 2020). Accordingly, the variables under study and their interactions were found to have insignificant effects on Pb 2+ removal (Fig.…”

Section: Characterization Of the Bimetal/alginate Beadsmentioning

confidence: 99%

Optimizing Fe0/Ni0/alginate beads as a stable and recoverable catalyst for removing highly toxic water contaminants: full-factorial design

Radwan

El‐Wakeel

Abdel-Wahed

et al. 2022

Int. J. Environ. Sci. Technol.

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Pollution by highly toxic contaminants poses a great threat to the aquatic environment and human life. Bimetallic materials have been proven to be efficient for the removal of such contaminants. In this study, the bimetallic Fe0/Ni0/alginate beads have been prepared using solvothermal technique followed by polymerization of alginate. Full-factorial design has been utilized to optimize the preparation conditions including the weight ratios of Fe and Ni, and time of the solvothermal process. The bimetal made from equal weights of Ni and Fe metals along with alginate has shown the best efficiency for the removal of 2,4,6-trichlorophenol (2,4,6-TCP, ~ 70%) as a model organic pollutant under acidic conditions (pH = 2) with minor contribution of alginate component in the removal process. Adsorption followed by reduction has been defined as the removal mechanism using GC/MS/MS chromatography in the case of 2,4,6-TCP. A mathematical model was established to describe the 2,4,6-TCP removal by the optimally prepared material. Differently, Pb2+ ions were removed predominantly by the alginate with minor effect of the bimetal (max. removal = 96.91% at pH 5 and after 2 h contact time). Accordingly, it was difficult to describe this process by a mathematical model. However, in both cases, the optimally prepared material has exhibited superior stability and reusability rather than the neat Fe0/Ni0 bimetal under the same experimental conditions. To sum up, the designed bimetallic Fe0/Ni0/alginate beads can be considered as an efficient catalyst for the removal of highly toxic pollutants from aqueous media.

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“…To determine the optimal conditions of the enzymatic hydrolysis method as a separate process of SHF, based on the literature data and the research experience, the following parameter ranges were selected for testing with the response surface methodology (RSM): dose of the enzyme 10-30 FPU•g −1 of solid, temperature 50-70 • C, pH 4.2-5.4, and time 24-72 h. The RSM method is an effective optimization tool consisting of mathematical and statistical techniques and used for the process of optimization [26][27][28].…”

Section: Separate Hydrolysis and Fermentation (Shf)mentioning

confidence: 99%

Polish Varieties of Industrial Hemp and Their Utilisation in the Efficient Production of Lignocellulosic Ethanol

2021

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Nowadays, more and more attention is paid to the development and the intensification of the use of renewable energy sources. Hemp might be an alternative plant for bioenergy production. In this paper, four varieties of Polish industrial hemp (Białobrzeskie, Tygra, Henola, and Rajan) were investigated in order to determine which of them are the most advantageous raw materials for the effective production of bioethanol. At the beginning, physical and chemical pretreatment of hemp biomass was carried out. It was found that the most effective is the alkaline treatment with 2% NaOH, and the biomasses of the two varieties were selected for next stages of research: Tygra and Rajan. Hemp biomass before and after pretreatment was analyzed by FTIR and SEM, which confirmed the effectiveness of the pretreatment. Next, an enzymatic hydrolysis process was carried out on the previously selected parameters using the response surface methodology. Subsequently, the two approaches were analyzed: separated hydrolysis and fermentation (SHF) and a simultaneous saccharification and fermentation (SSF) process. For Tygra biomass in the SHF process, the ethanol concentration was 10.5 g∙L−1 (3.04 m3·ha−1), and for Rajan biomass at the SSF process, the ethanol concentration was 7.5 g∙L−1 (2.23 m3·ha−1). In conclusion, the biomass of Polish varieties of hemp, i.e., Tygra and Rajan, was found to be an interesting and promising raw material for bioethanol production.

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Response surface methodology (RSM) for assessing the effects of pretreatment, feedstock, and enzyme complex association on cellulose hydrolysis

Cited by 21 publications

References 43 publications

Optimizing the performance of solar panel cooling apparatus by application of response surface methodology

Optimizing the performance of solar panel cooling apparatus by application of response surface methodology

Optimizing Fe0/Ni0/alginate beads as a stable and recoverable catalyst for removing highly toxic water contaminants: full-factorial design

Polish Varieties of Industrial Hemp and Their Utilisation in the Efficient Production of Lignocellulosic Ethanol

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