Using Response Surface Methodology (RSM) to optimize 2G bioethanol production: A review

Pereira, Lucas Matheus Soares; Milan, Thaís Moré; Tapia‐Blácido, Delia Rita

doi:10.1016/j.biombioe.2021.106166

Cited by 97 publications

(46 citation statements)

References 73 publications

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“…Additionally, the positive coefficient indicated a synergistic effect, while the negative coefficient demonstrated an antagonistic influence [ 39 , 40 , 41 ].…”

Section: Resultsmentioning

confidence: 99%

Optimization of Tensile Strength and Young’s Modulus of CNT–CF/Epoxy Composites Using Response Surface Methodology (RSM)

et al. 2022

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Composites such as carbon fiber are used extensively by automotive, aerospace, marine, and energy industries due to their strong mechanical properties. However, there are still many areas it is lacking in testing, especially related to its electrophoretic deposition. In this research work, the tensile strength and Young’s modulus of CNT–CF/epoxy composites were measured using the tensile test by varying the electrophoretic deposition (EPD) process parameters. Response surface methodology (RSM) was used to optimize the three main parameters in this EPD process: the volume ratio (water as the basis), deposition voltage, and time to obtain the maximum tensile properties of the composites. There were four volume ratios (0%, 20%, 80% and 100%) used in this design of experiment (DoE) with ratios’ pairs of 0%, 100%, and 20%, 80%. For this study, water and methanol were used as the suspension medium. This design’s deposition voltage and time were 10 to 20 V and 5 to 15 min. ANOVA further verified the responses’ adequacy. The optimum conditions for the first Design of Experiment (DoE) (0% and 100%) were identified as a volume ratio of 99.99% water, deposition voltage of 10 V, and 12.14 min. These conditions provided the maximum strength of these composites with a tensile strength of 7.41 N/mm2 and Young’s modulus of 279.9 N/mm2. Subsequently, for the second DoE (20% and 80%), tensile strength of 7.28 N/mm2 and Young’s modulus of 274.1 N/mm2 were achieved with the ideal conditions: volume ratio of 44.80% water, deposition voltage of 10.04 V, and time of 6.89 min. It can be concluded that the ideal interaction between these three EPD parameters was necessary to achieve composites with good tensile properties.

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“…Additionally, the positive coefficient indicated a synergistic effect, while the negative coefficient demonstrated an antagonistic influence [ 39 , 40 , 41 ].…”

Section: Resultsmentioning

confidence: 99%

Optimization of Tensile Strength and Young’s Modulus of CNT–CF/Epoxy Composites Using Response Surface Methodology (RSM)

et al. 2022

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“…Response Surface Methodology (or RSM for short) introduced by Box and Wilson in 1951: A set of statistical methods and applied mathematics to build experimental models and aims to optimize the response (output variable) which is affected by several independent variables (input variables) that in each experiment changes are made in the input variables in order to determine the causes of changes in the response variable (Pereira et al, 2021).…”

Section: Determination Of Grading and Optimal Bitumen Percentage By R...mentioning

confidence: 99%

Modification of Aggregate Gradation for Simultaneous Optimization of Evaporation and Permeability of Porous Asphalt Mixtures

fard

KHABIRI

Tamás

2022

Front. Built Environ.

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Today, with the expaansion of cities and the growth of urbanization, followed by climate change, it is crucial to prevent the occurrence of floods and control it in cities. Porous pavement, including porous asphalt, is known as one of the best methods for urban flood control due to its two properties of evaporation and permeability. The purpose of this study is to modify the gradation of porous asphalt in order to optimize its permeability and evaporation for low-traffic urban passages. For this purpose, permeability, evaporation, and Cantabro tests were performed on samples with different gradations and percentages of bitumen; then, using Design Expert software, the gradation and percentage of optimal bitumen were determined. Finally, the performance of the asphalt gradation and optimal bitumen percentage were evaluated by performing empty space percentage, modified Latman, Marshall, and psychological strength tests and Cantabro tests. The results show that with finer gradation, the permeability, evaporation, and minimum bitumen percentage are reduced by about 55%, 82%, and 60%, respectively. Also, the gradation is medium with 4% bitumen gradation and the percentage of bitumen is optimal, which has a good performance in low-traffic urban passages.

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Section: Introductionmentioning

confidence: 99%

“…Then, the optimal condition can be found by using Response Surface Methodology (RSM). [23,24] CCRD aims to evaluate how the combination of two or more independent variables affects the responses; that is, the dependent variables. [25,26] Therefore, this study aims to optimize the production of cellulose nanofibers and reducing sugars by enzymatic hydrolysis of two types of chemically pretreated soybean straw.…”

Section: Introductionmentioning

confidence: 99%

Using Experimental Design and Response Surface Methodology to Optimize Nanocellulose Production from Two Types of Pretreated Soybean Straw

Silva

Esposto

Maniglia

et al. 2022

Macro Chemistry & Physics

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This study investigates how enzymatic activity (X 1 ) and pretreated soybean straw concentration (X 2 ) affect the production of cellulose nanofibers and reducing sugars using the Composite Central Rotational Design (CCRD). The soybean straw is subjected to alkaline pretreatment with either 5% NaOH (PT1) or 17.5% NaOH (PT2), followed by bleaching (4% H 2 O 2 ) and enzymatic treatment. The mathematical model generated by Response Surface Methodology (RSM) predicts that increasing X 1 and X 2 simultaneously is necessary to increase the nanocellulose yield. On the other hand, to increase the sugar yield, it is necessary to increase the ratio X 1 :X 2 . The model also predicts that the lowest concentration of soybean straw (1.17%) resulted in more stable nanofiber suspensions, regardless of the enzyme activity (−25.0 and −19.4 mV for PT1 and PT2, respectively). The optimal condition for the simultaneous production of cellulose nanofibers and reducing sugars is 4.0 g of biomass and enzymatic activity of 600 CMCU, resulting for PT1 and PT2, respectively: 7.01 and 3.73 g of nanofibers/100 g of soybean straw; 11.34 and 14.30 g of reducing sugars/100 g of soybean straw. Therefore, the processing efficiency according to the pretreatment used can directly guide the production of cellulose nanofibers and reducing sugars.

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Using Response Surface Methodology (RSM) to optimize 2G bioethanol production: A review

Cited by 97 publications

References 73 publications

Optimization of Tensile Strength and Young’s Modulus of CNT–CF/Epoxy Composites Using Response Surface Methodology (RSM)

Optimization of Tensile Strength and Young’s Modulus of CNT–CF/Epoxy Composites Using Response Surface Methodology (RSM)

Modification of Aggregate Gradation for Simultaneous Optimization of Evaporation and Permeability of Porous Asphalt Mixtures

Using Experimental Design and Response Surface Methodology to Optimize Nanocellulose Production from Two Types of Pretreated Soybean Straw

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