Bioethanol Optimization in Hydrolysis and Fermentation Process with Surface Response Method

2020 ◽  
Author(s):  
Ni Ketut Sari ◽  
Intan Yuniar Purbasari ◽  
Jariyah
Keyword(s):  
Fermentation Process ◽  
Surface Response ◽  
Surface Response Method ◽  
Response Method

scholarly journals Influence of carbon source and the fermentation process on levan production by Zymomonas mobilis analyzed by the surface response method

2006 ◽  
Vol 26 (3) ◽  
pp. 604-609 ◽  
Author(s):  
Raquel Renan Jorge Borsari ◽  
Maria Antonia P. Colabone Celligoi ◽  
João Batista Buzato ◽  
Rui Sérgio dos Santos Ferreira da Silva
Keyword(s):  
Carbon Source ◽  
Zymomonas Mobilis ◽  
Fermentation Process ◽  
Surface Response ◽  
Surface Response Method ◽  
Response Method

scholarly journals Using a surface response method for experimental design to optimize the analysis of taurine in food supplements by capillary electrophoresis

2017 ◽  
Vol 33 (4) ◽  
Author(s):  
Nguyen Manh Huy ◽  
Nguyen Thanh Dam ◽  
Duong Hong Anh ◽  
Pham Hung Viet
Keyword(s):  
Capillary Electrophoresis ◽  
Ph Value ◽  
Milk Powder ◽  
Energy Drink ◽  
Injection Time ◽  
Sample Injection ◽  
Surface Response ◽  
Relative Standard ◽  
Surface Response Method ◽  
Response Method

Abstract: This study focus on using surface response method to optimize the taurine analysis by capillary electrophoresis with contactless conductivity detector. A response surface method (RSM) coupled with a central composite model (CCD) comprising 30 experiments was developed with 4 factors including concentration of Tris buffer, pH value, separating potential and sample injection time. The best set of factor levels for taurine analysis was found as follows: 150 mmol/L of Tris concentration, pH = 8.96, separation voltage of -10 kV, the sample injection time of 60 seconds. The validation of analytical method showed the detection limit for taurine was 0.266mg/L, linearity range from 1 to 500 mg/L, relative standard deviation values ​​for peak areas and migration times were less than 3.16%, the linear correlation coefficient gained 0.999. Recovery efficiency of taurine in several food supplement matrixes such as: fresh milk, milk powder, energy drink were in range from 91.9% to 101.7%.  

scholarly journals Penentuan Kondisi Lingkungan Kerja Fisik yang Optimal Menggunakan Metode Permukaan Respon

2017 ◽  
Vol 1 (1) ◽  
pp. 1 ◽  
Author(s):  
Arta Rusidarma Putra ◽  
Anggar Guritno
Keyword(s):  
Work Environment ◽  
Working Environment ◽  
Surface Response ◽  
Operator Performance ◽  
Optimal Value ◽  
Surface Response Method ◽  
Environment Factor ◽  
Work Environment Factors ◽  
Response Method ◽  
Work Environment Factor

Many consequences caused by the condition of the work environment is not good. This can be caused by noise, lighting and temperature conditions. We need to determine the optimal value of these work environment factors in order to improve operator performance. The correlation between operator performance with work environment factor such as noise, lighting and temperature are found out by develope empirical model to describe relation between operator performance with work environment factor. The model is used to optimize operator performance. This research use surface response method. The experimental design used a central composite design. The research was conducted by experiments in the Laboratory of Analysis of Work Design and Ergonomics of Islamic University of Indonesia Yogyakarta. Variables taken are noise, lighting and temperature. Range for noise is 40 dB to 75 dB, lighting 200 lux to 700 lux, and temperatures between 20ºC to 35ºC. The experiment carried out was the resistor color matching for 5 minutes according to the combination of research variables that have been determined in the surface response method. Output is the number of truths that occur. Using this optimization model, optimal working environment conditions for noise of 60.5 dB, 354.5 lux illumination and temperature of 25.8º.

scholarly journals Extraction optimization of soluble compounds of yerba maté

2002 ◽  
Vol 45 (2) ◽  
pp. 189-193 ◽  
Author(s):  
César Sambiassi ◽  
Andrea M. Escalada ◽  
Miguel E. Schmalko
Keyword(s):  
Experimental Design ◽  
Linear Equation ◽  
Water Soluble ◽  
Extraction Time ◽  
Yerba Mate ◽  
Surface Response ◽  
Extract Concentration ◽  
Extraction Optimization ◽  
Surface Response Method ◽  
Response Method

The objective of this research was the extraction optimization of water soluble compounds of yerba maté. Measures variables were extract concentration and weight of leaves and twigs. Controlled variables were time and temperature of extraction and water/solid relation. A surface response method of three variables was used as experimental design, with 20 experiences in each case. The range of each variable, defined in the experimental design, was: extraction time, 13.2 to 46.8 minutes; temperature, 48.2 to 81.8°C and water solid relation, 4.64 to 11.36 g water/100 g of dry solid. Extract weight varied from 13.14 to 29.56 g in leaves and 8.98 to 16.32 g in twigs (each one per 100 g of dry solid). Extract concentration varied between 2.17 and 3.43 g/100 ml in leaves and between 1.32 and 2.31 g/100 ml in twigs. The results were fit to a linear equation in each case.

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