scholarly journals Response Surface Methodology of Alcohol Production from TWR Sugar using Saccharomyces cerevisiae TISTR 5339

2021 ◽  
Vol 292 ◽  
pp. 03056
Author(s):  
Athitan Timyamprasert ◽  
Thanit Vairojanawong ◽  
Siritorn Teeravet

The aim of this research was to develop technique to produce alcohol from Thai white rice (TWR) using Saccharomyces cerevisiae TISTR 5339. TWR sugar was produced from TWR with Amylomyces rouxii TISTR 3182. Response surface methodology (RSM) was applied for investigating the experimental design for production the alcohol. There were 20 experiments involving the three investigated variables of Saccharomyces cerevisiae TISTR 5339 to amount of TWR sugar ratio, concentration of TWR sugar (% Brix) and retention time of fermentation that were studied on alcohol to optimize the condition for production the alcohol. Design of experiment was performed by application of 5-level-3-factors central composite design in order to study the optimum condition for production the alcohol. The investigated results showed that the optimum condition was 4.0 ml of Saccharomyces cerevisiae TISTR 5339 amount to 100 ml of TWR sugar amount, 20%Brix (concentration of TWR sugar) and 7 days of fermentation time.

2015 ◽  
Vol 9 (11) ◽  
pp. 68
Author(s):  
Widayat Widayat ◽  
Hadiyanto Hadiyanto ◽  
Bambang Cahyono ◽  
Ngadiwiyana Ngadiwiyana

The objective of this research was to obtain optimum condition of eugenol production from clove oil using a central composite design method. The main process occured in the eugenol production was saphonification and neutralization processes. In order to optimize these processes, the ratio of NaOH/clove oil and temperature were studied as design variables i.e. ratio of NaOH/clove oil=1:2.5-1:3.5 while temperature was varied between 40 and 60oC. The yield of eugenol was considered as the main response in of this experiment. The result showed that the optimum condition was achieved when the temperature and the ratio of NaOH/clove oil were 50oC and 2.75:1, respectively and the yield was 39.17%.<br />


2012 ◽  
Vol 195-196 ◽  
pp. 360-363
Author(s):  
Chun Gang Chen ◽  
Fen Xia Han ◽  
Yuan Zhang ◽  
Yu Zhong Shi

The extraction of flavonoids from clovers was optimized to maximize flavonoid yield Y in this study. A central composite design of response surface methodology involving extracting time, liquid-solid ratio, extracting temperature and ethanol concentration was used, and second-order model for Y was employed to generate the response surfaces. The optimum condition for Y was determined as follows: extracting time 24min, liquid-solid ratio 20, extracting temperature 80°C, and ethanol concentration 72%. Under the optimum condition, the flavonoid yield was 2.49%.


2011 ◽  
Vol 201-203 ◽  
pp. 2513-2516 ◽  
Author(s):  
Han Gao ◽  
Gui Fang Xu ◽  
Yuan Yuan Fan ◽  
Hai Juan Nan ◽  
Su Fang Fu

The fermentation process of pear vinegar was optimized to maximize the amount of acetate in this study. A central composite design of response surface methodology involving inoculation rate, temperature, time was used, and second-order model for the amount of acetate was employed to generate the response surface. The optimum condition for the fermentation process was determined as follows: inoculation rate 8.65 %, temperature 30.17 °C, time 7.44 d. The obtained amount of acetate at the optimum condition was 9.53%.


2020 ◽  
Author(s):  
Sri Rizki Putri Primandari ◽  
Andril Arafat ◽  
Arwizet Karudin

Abstract Waste cooking oil has high free fatty acid (FFA). It impact to low yield of biodiesel production. Thus, reducing FFA is one of important process as feedstock of biodiesel. This study aims to investigate the optimum condition of three important process variables which are acid concentration, molar ratio of methanol and oil, and irradiation time with the 45oC of irradiation temperature for reducing FFA. The synthesis is assisted by ultrasonic irradiation. It conducted by acid esterification with H2SO4 and methanol. Optimization is conducted by Response Surface Methodology (RSM) with central composite design (CCD). The optimum condition of response for reducing FFA less than 1% were found to be 7.22:1 of methanol to oil molar ratio, 0.92% wt of H2SO4, and 26.04 minutes of irradiation time. It has been observed that ultrasonic system reduces FFA content significantly compared to conventional method.


2021 ◽  
pp. 89-110
Author(s):  
Mahmood Sawsan ◽  
Ali Ali ◽  
Darwesh Ayhem ◽  
Zam Wissam

There is an increasing interest in improving biological processes, including fermentation processes, improving fermentation conditions is difficult, as it requires the use of an appropriate improvement method that allows operating the biological fermenter under optimal conditions in order to obtain the largest possible amount of the final product. The aim of this work was to succeed in examples of fermentation conditions to produce the largest possible quantity of dry yeast biomass Saccharomyces cerevisiae using grape juice as the sole carbon source. The optimum values of five factors that have an effect on the production of dry biomass from baker`s yeast were determined. The design of the experiments was carried out using the central composite experimental design (CCD) and the number of experiments according to the design was (54) experiments, the response surface methodology method was used to determine the best possible amount of production of yeast, and has reached (41.44 g/L) after 12 hours of fermentation, under the following optimal conditions (temperature (30.11??), pH (4.75), sugar concentration (158.36 g/L), the ratio of carbon to nitrogen (an essential nutrient for yeast growth ) is (11.9), initial concentration of yeasts (2.5 g/L), the amount of urea was 6.65 g/L and the amount of ammonium sulfate used was 6.65 g/L, so that the concentration of added urea and ammonium sulfate was (50-50)% and the required C/N ratio was achieved, and the used agitation speed was equal to 200 r.p.m during the fermentation process. The fermenter power of the obtained yeast was 470 ml. Three kinematic models (Monod, Verhulst, and Tessier) were also selected for the purpose of studying the kinetic performance of Saccharomyces cerevisiae yeast. Monod and Tessier`s models did not give satisfactory results, while the best results were according to the Verhulst model. Also, the Leudeking Piret model has also been successfully used to predict substrate consumption during fermentation time.


2014 ◽  
Vol 6 (2) ◽  
pp. 366-370 ◽  
Author(s):  
N. Srimeena ◽  
S. Gunasekaran ◽  
R. Murugesan

Mead is a traditional drink which results from the alcoholic fermentation of diluted honey carried out by yeast (Saccharomyces cerevisiae KF233529). The present investigation was carried out for the optimization of fermentation parameters for maximizing the yield of ethanol. Response Surface Methodology (RSM) based central composite design was employed to obtain best combination of temperature, fermentation time and total soluble solids (TSS). The optimum conditions for ethanol yield were temperature 28°C, TSS 15°Brix and 6 days after fermentation. The model showed that the value of R2 (0.9998) was high and p- value of interaction of variance was <0.0001. Hence the model can be said to be of highly significant.


2012 ◽  
Vol 524-527 ◽  
pp. 2306-2309
Author(s):  
Guang Lei Li ◽  
Su Juan Du ◽  
Jie Zeng

The preparation of sweet potato distarch phosphates which possess low digestibility was optimized in this study. A central composite design of response surface methodology involving STMP concentration, pH, phosphorylation temperature and time was used, and second-order model for starch digestibility was employed to generate the response surface. The optimum condition for preparation of sweet potato distarch phosphates was as follows: STMP concentration 3%, pH 10, phosphorylation temperature 40°C, and phosphorylation time 3h. The starch digestibility of sweet potato distarch phosphates was yield of 0.5508±0.0003 (n=3) under these conditions.


2011 ◽  
Vol 343-344 ◽  
pp. 933-936
Author(s):  
Yu Xiang Ma ◽  
Ben Guo Liu ◽  
Liang Bin Hu ◽  
Miao Yan Wang

The extraction of pectin from pomelo peel was optimized to maximize pectin yield Y in this study. A central composite design of response surface methodology involving extracting time, extracting temperature, liquid-solid ratio and pH was used, and second-order model for Y was employed to generate the response surfaces. The optimum condition for Y was determined as follows: extracting time 1h, extracting temperature 95 °C, liquid-solid ratio 25, pH 1. Under the optimum condition, the pectin yield was 20.98%.


2015 ◽  
Vol 1087 ◽  
pp. 236-240
Author(s):  
Pek Ling Ong ◽  
Norlia Baharun ◽  
Suhaina Ismail

Refractory gold ore understudied showed traces amount of gold from X-ray fluorescence analysis. Phases identified are quartz, muscovite and calcite. Statistical approach using response surface methodology - central composite design were performed at varying concentration of NaCN, Pb (NO3)2 and H2O2. Cyanidation experiments were conducted at room temperature at pH 11. Using the response surface methodology followed by path of steepest ascent, gold cyanidation was found to be at 467.3 ppm NaCN, 94.96 ppm Pb (NO3)2 and 0.01M H2O2, at the vicinity towards the optimum condition where 88.97% Au extracted from the ore, equivalent to 1.7231 g/t Au.


2014 ◽  
Vol 625 ◽  
pp. 766-769
Author(s):  
Muhammad Ridzuan Abdul Ghani ◽  
Oh Pei Ching

This study aims to optimize bioethanol production from mango peels using Response Surface Methodology (RSM). The effect of temperature (25–40oC), yeast concentration (6–14 g/ml) and fermentation time (48–96 hours) on bioethanol yield was investigated. Prior to the fermentation process, mango peels were treated with 0.25–1% (w/v) sulphuric acid. Optimum glucose yield was obtained at 0.25% (w/v) sulphuric acid. RSM using 3-factor 2-level central composite design (CCD) was employed to evaluate and optimize the synthesis parameters. Based on numerical optimization, the optimum fermentation conditions were at 38oC using 6 g/ml yeast for 48 hours, giving a yield of 7.34 g/ml bioethanol.


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