scholarly journals OPTIMASI FERMENTASI BAGAS TEBU OLEH Zymomonas mobilis CP4 (NRRL B-14023) UNTUK PRODUKSI BIOETANOL (Optimization of Sugarcane Bagasse Fermentation by Zymomonas mobilis CP4 (NRRL B-14023) for Bioethanol Production)

2014 ◽  
Vol 34 (03) ◽  
pp. 247 ◽  
Author(s):  
Atmiral Ernes ◽  
Lia Ratnawati ◽  
Agustin Krisna Wardani ◽  
Joni Kusnadi
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface ◽  
Sugarcane Bagasse ◽  
Zymomonas Mobilis ◽  
Urea Concentration ◽  
Fermentation Time ◽  
Inoculum Concentration ◽  
Central Composite Experimental Design ◽  
Central Composite

Second generation bioethanol can be produced from fermentation of natural renewable materials, such as agricultural crops, as well as from industrial and domestic waste. The present study was aimed to optimize the fermentation process (inoculum concentration, urea concentration, and fermentation time) for ethanol production from sugarcane bagasse byZymomonas mobilis CP4 using response surface methodology (RSM) central composite experimental design (CCD). The RSM model predicted the optimum value of ethanol content was 1.257% (v/v) at inoculum concentration 15% (v/v), urea concentration 0.3% (w/v), and fermentation time 45 h. Based on the experiment, the ethanol concentrationwas 1.213% (v/v), which was in close agreement with the predicted value. Ethanol yield of this experiment was 0.479 with fermentation effi ciency of 93.9%. The results presented here proved a signifi cant contribution of Z. mobilis CP4 to the production of bioethanol from sugarcane bagasse.Keywords: Bioethanol, sugarcane bagasse, Zymomonas mobilis CP4, fermentation optimization ABSTRAKBioetanol generasi kedua dapat diproduksi dari fermentasi bahan terbarukan, seperti produk hasil pertanian, dan limbah atau hasil samping pengolahan industri dan rumah tangga. Tujuan penelitian ini adalah optimasi parameter fermentasi yang meliputi konsentrasi inokulum, konsentrasi urea, dan lama fermentasi untuk produksi etanol dari bagas tebu oleh Zymomonas mobilis CP4 dengan menggunakan response surface methodology (RSM) central composite experimental design (CCD). Kondisi respon yang optimal berdasarkan prediksi model diperoleh pada konsentrasi inokulum 15% (v/v), konsentrasi urea 0,3% (b/v), dan lama fermentasi 45 jam, dengan prediksi respon kadar etanol sebesar 1,257%(v/v). Berdasarkan hasil penelitian, kadar etanol optimal diperoleh sebesar 1,213% (v/v), yang menunjukkan hasil yang tidak berbeda jauh dengan prediksi model. Yield etanol yang diperoleh sebesar 0,479 dengan efi siensi fermentasi 93,9%. Hasil penelitian ini membuktikan bahwa strain bakteri Zymomonas mobilis CP4 memiliki potensi yang cukup menjanjikan sebagai mikroba penghasil etanol.Kata kunci: Bioetanol, bagas tebu, Zymomonas mobilis CP4, optimasi fermentasi

Optimization of Critical Medium Components for the Expression of Recombinant Human Transferrin in Insect Cells Baculovirus System

2012 ◽  
Author(s):  
Clarence M. Ongkudon ◽  
Badarulhisam Abdul Rahman ◽  
Azila Abd. Aziz
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Central Composite Design ◽  
Response Surface ◽  
Insect Cells ◽  
Expression System ◽  
Proliferating Cells ◽  
Human Transferrin ◽  
Lipid Mixtures ◽  
Central Composite

Transferin manusia (hTf) memainkan peranan yang penting dalam fungsi bakteriostatik dan pengangkutan ferum dari bahagian penyimpanan ke sel–sel yang membiak melalui proses endositosis janaan reseptor. Sistem ekspresi bakulovirus sel serangga telah dipakai secara meluas sebagai sistem alternatif dalam penghasilan Transferin manusia rekombinan (rhTf). Kajian ini ditumpukan ke atas pengoptimuman glutamina, glukosa dan campuran lipid 1000x yang dapat meningkatkan penghasilan rhTf. Reka bentuk eksperimen yang melibatkan 17 eksperimen reka bentuk komposit berpusat (CCD) telah digunakan dan hasil kajian dianalisis oleh Statistika (Statsoft v. 5.0). Metodologi permukaan tindak balas (RSM) telah mengenalpasti nilai optimum parameterparameter yang dikaji iaitu glutamina=2211.20 mg/L, glukosa=1291.95 mg/L, dan campuran lipid 1000x=0.64 %v/v. Hasil optimasi menunjukkan peningkatan hasil rhTf sebanyak tiga kali ganda, iaitu daripada 19.89 μg/ml kepada 65.12 μg/ml. Kata kunci: Transferin manusia; bakulovirus sel serangga; reka bentuk eksperimen; reka bentuk komposit berpusat; metodologi permukaan tindak balas Human Transferrin (hTf) plays a big role in providing bacteriostatic functions as well as to transport iron from the storage part to all proliferating cells by receptor mediated endocytosis. Insect cells baculovirus expression system has been widely used as an alternative expression system for the production of recombinant human Transferrin (rhTf). This work focused mainly on the optimization of glutamine, glucose and lipid mixtures 1000x to increase rhTf yield. An experimental design involving 17 central composite design (CCD) experiments was employed and results were analyzed by Statistica (Statsoft v. 5.0). The response surface methodology (RSM) had identified the optimum values where glutamine=2211.20 mg/L, glucose=1291.95 mg/L, and lipid mixtures 1000x=0.64 %v/v. Using the optimized parameters, the studies demonstrated an increase in the rhTf yield by three–fold from 19.89 μg/ml to 65.12 μg/ml. Key words: Human transferrin; insect cells baculovirus; experimental design; central composite design; response surface methodology

Experimental Design in Analytical Chemistry—Part I: Theory

2014 ◽  
Vol 97 (1) ◽  
pp. 3-11 ◽  
Author(s):  
Heshmatollah Ebrahimi-Najafabadi ◽  
Riccardo Leardi ◽  
Mehdi Jalali-Heravi
Keyword(s):  
Analytical Chemistry ◽  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface ◽  
Fractional Factorial ◽  
Factorial Designs ◽  
Fractional Factorial Designs ◽  
Central Composite

Abstract This paper reviews the main concepts of experimental design applicable to the optimization of analytical chemistry techniques. The critical steps and tools for screening, including Plackett-Burman, factorial and fractional factorial designs, and response surface methodology such as central composite, Box-Behnken, and Doehlert designs, are discussed. Some useful routines are also presented for performing the procedures.

scholarly journals Response Surface Methodology for the Optimisation of Electrochemical Biosensors for Heavy Metals Detection

Biosensors ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 26 ◽  
Author(s):  
Giuseppe De Benedetto ◽  
Sabrina Di Masi ◽  
Antonio Pennetta ◽  
Cosimino Malitesta
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface ◽  
Enzyme Concentration ◽  
Experimental Parameters ◽  
Number Of Cycles ◽  
Metal Ions Detection ◽  
First Time ◽  
Central Composite ◽  
Biosensor Response

Herein, we report the application of a chemometric tool for the optimisation of electrochemical biosensor performances. The experimental design was performed based on the responses of an amperometric biosensor developed for metal ions detection using the flow injection analysis. The electrode preparation and the working conditions were selected as experimental parameters, and thus, were modelled by a response surface methodology (RSM). In particular, enzyme concentration, flow rates, and number of cycles were reported as continuous factors, while the sensitivities of the biosensor (S, µA·mM−1) towards metals, such as Bi3+ and Al3+ were collected as responses and optimised by a central composite design (CCD). Bi3+ and Al3+ inhibition on the Pt/PPD/GOx biosensor response is for the first time reported. The optimal enzyme concentration, scan cycles and flow rate were found to be 50 U·mL−1, 30 and, 0.3 mL·min−1, respectively. Descriptive/predictive performances are discussed: the sensitivities of the optimised biosensor agreed with the experimental design prediction. The responses under the optimised conditions were also tested towards Ni2+ and Ag+ ions. The multivariate approach used in this work allowed us to obtain a wide working range for the biosensor, coupled with a high reproducibility of the response (RSD = 0.72%).

Research on Blanching Pretreatment of Quick Frozen Sword Bean (Canavalia gladiate)

2011 ◽  
Vol 140 ◽  
pp. 416-420
Author(s):  
Chen Wei Zhou ◽  
Juan Xu ◽  
Qing Qing Li ◽  
Rui Zhi Wang ◽  
Lu Yang ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Statistical Model ◽  
Response Surface ◽  
Peroxidase Activity ◽  
Primary Determinant ◽  
Central Composite Experimental Design ◽  
Main Index ◽  
Temperature Time ◽  
Central Composite

Quick frozen could preserve the maximum micro-texture and taste quality of vegetables, and blanching pretreatment is primary determinant of quick frozen. In this study, the central composite experimental design and response surface methodology were adopted to derive a statistical model for the effect of blanching pretreatment on the quality of sword bean (Canavalia gladiate), with peroxidase activity as main index. The pretreatment process optimized with response surface methodology was blanching at 96 °C for 1.03 min. Through optimization, a statistical model was established for the relation between blanching temperature, time and peroxidase activity, which would facilitate the prediction of the effects of blanching on the quality of sword bean and could play a guidance role in the blanching pretreatment of many other vegetables.

scholarly journals Optimization of baker`s yeast production on grape juice using response surface methodology

2021 ◽  
pp. 89-110
Author(s):  
Mahmood Sawsan ◽  
Ali Ali ◽  
Darwesh Ayhem ◽  
Zam Wissam
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Ammonium Sulfate ◽  
Grape Juice ◽  
Optimal Conditions ◽  
Fermentation Time ◽  
Fermentation Conditions ◽  
Central Composite Experimental Design ◽  
Kinematic Models

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.

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
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Response Surface Methodology ◽  
Optimum Condition ◽  
Response Surface ◽  
Fermentation Time ◽  
Alcohol Production ◽  
White Rice ◽  
Level 3 ◽  
Central Composite ◽  
Develop Technique

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.

scholarly journals Statistical Optimization of the Induction of Phytase Production by Arabinose in a recombinant E. coli using Response Surface Methodology

2017 ◽  
Vol 26 (1) ◽  
pp. 57-64
Author(s):  
Abd-El Aziem Farouk ◽  
Anis Shobirin Meor Hussin ◽  
Ralf Greiner ◽  
Shareef Mohideen Ismail ◽  
Hamadah Mohd Nur Lubis
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Incubation Temperature ◽  
Expression System ◽  
Optimal Conditions ◽  
Phytase Production ◽  
E Coli ◽  
Central Composite Experimental Design ◽  
Full Factorial ◽  
Central Composite

The production of phytase in a recombinant E.coli using the pBAD expression  system was optimized using response surface methodology with full-factorial faced centered central composite design. The ampicilin and arabinose concentration in the cultivation media and the incubation temperature were optimized in order to maximize phytase production using 2 3  central composite experimental design. With this design the number of actual experiment performed could be reduced while allowing eludidation of possible interactions among these factors. The most significant parameter was shown to be the linear and quadratic effect of the incubation temperature.  Optimal conditions for phytase production were determined to be 100 µg/ml ampicilin, 0.2 % arabinose and an incubation temperature of 37ºC. The production of phytase in the recombinant E. coli was scaled up to 100 ml and 1000 ml.   

scholarly journals Optimization of fermentation conditions for producing Indian rock bee (Apis dorsata) mead using response surface methodology

2014 ◽  
Vol 6 (2) ◽  
pp. 366-370 ◽  
Author(s):  
N. Srimeena ◽  
S. Gunasekaran ◽  
R. Murugesan
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Ethanol Yield ◽  
Soluble Solids ◽  
P Value ◽  
Yeast Saccharomyces Cerevisiae ◽  
Fermentation Time ◽  
Fermentation Parameters ◽  
Optimization Of Fermentation ◽  
Central Composite

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.

Optimization of Ethanol Production from Mango Peels Using Response Surface Methodology

2014 ◽  
Vol 625 ◽  
pp. 766-769
Author(s):  
Muhammad Ridzuan Abdul Ghani ◽  
Oh Pei Ching
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Sulphuric Acid ◽  
Effect Of Temperature ◽  
Fermentation Time ◽  
Glucose Yield ◽  
Yeast Concentration ◽  
Mango Peels ◽  
Central Composite ◽  
Bioethanol Yield

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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