scholarly journals PERBAIKAN BIOPROSES UNTUK PENINGKATAN PRODUKSI BIOETANOL DARI MOLASE TEBU / Bioprocess Improvement for Enhanching Bioethanol Production of Sugarcane Molase

Perspektif ◽  
2017 ◽  
Vol 16 (2) ◽  
pp. 69
Author(s):  
Suminar Diyah Nugraheni ◽  
Mastur Mastur
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Zymomonas Mobilis ◽  
Fermentation Process ◽  
Continuous Fermentation ◽  
Raw Materials ◽  
Sugar Industry ◽  
Fermentation Method ◽  
Increase Productivity ◽  
Microbial Productivity ◽  
Continuous Use

<p align="center">ABSTRAK </p><p>Bioetanol merupakan salah satu bahan bakar alternatif yang strategis untuk dikembangkan. Salah satu substrat yang menjanjikan untuk digunakan adalah molase.  Molase merupakan hasil samping industri gula kristal tebu yang masih  mengandung gula yaitu sekitar 45-54,6%.  Bioetanol dari molase tebu  berpotensi untuk dikembangkan karena sangat menguntungkan, pasokan cukup besar, tersedianya teknologi proses, serta tidak bersaing dengan pangan. Tulisan ini mengulas hasil-hasil penelitian dan implikasinya tentang bahan baku, proses, lingkungan yang berpengaruh serta strategi untuk meningkatkan produktivitas bioetanol dari molase tebu melalui rekayasa proses fermentasi. Pada pembuatan etanol, fermentasi merupakan proses yang memegang peranan penting.  Pengaturan lingkungan fermentasi seperti suhu, pH, dan tekanan berpengaruh terhadap bioproses dalam fermentasi.  Begitu pula penambahan bahan suplemen seperti gula, garam, dan ion logam menurut jenis dan konsentrasi yang tepat juga dapat mengoptimalkan proses fermentasi.  Selain pengelolaan lingkungan dan penambahan bahan suplemen<span style="text-decoration: underline;">, s</span>trategi untuk peningkatan produktivitas bioetanol dari molase dapat dilakukan dengan: 1) penggunaan mikrobia selain <em>Saccharomyces cerevisiae</em>; 2) <em>pretreatment</em>; dan 3) metode fermentasi kontinyu. Penggunaan mikrobia selain <em>Saccharomyces cerevisiae</em>, seperti <em>Zymomonas mobilis</em> dapat meningkatkan produktivitas etanol hingga 55,8 g/L atau 27,9% dari total gula reduksi.  Perlakuan <em>pretreatment</em> dapat meningkatkan produktivitas mikrobia dalam mengkonversi gula menjadi etanol, sedangkan penggunaan metode fermentasi secara kontinyu dapat meningkatkan produktivitas sebesar <span style="text-decoration: underline;">+</span> 4.75 g/L/jam.</p><p>  </p><p align="center">ABSTRACT </p><p>Bioethanol is one of strategic alternative fuel to develop.  One of substrate that promises to be used is molasses. Molasses is by-product of sugar industry which contain of sugar about 45-54,6%. Bioethanol from sugarcane molase is necessary to develope because it is very profitable, large supply, availability technology, and no-competion to  food.  This paper was aimed to reviews some research results and their implications on raw materials, processes, advanced environments and strategies to increas bioethanol productivity of molasses through the fermentation process engineering. In the manufacture of ethanol, fermentation is an important holding process.  In ethanol production, fermentation plays an important role.  Fermentation environments arragement such as temperature, pH, and pressure can effect on bioprocess of fermentation. Similarly, the addition of supplemental ingredients such as sugar, salt, and metal ions by appropriate type and concentration can also optimize the fermentation process. In addition to environmental arrangement and supplemental adding, strategies to improve bioethanol productivity of molasses can be accomplished by 1) the use of microbes other than Saccharomyces cerevisiae; 2) pretreatment; and 3) continuous fermentation method. The use of microbes other than Saccharomyces cerevisiae, such as Zymomonas mobilis can increase ethanol productivity up to 55.8 g / L or 27.9% of total sugar reduction.  Pretreatment can increase microbial productivity in converting sugar to ethanol, while continuous use of fermentation method can increase productivity by <span style="text-decoration: underline;">+</span> 4.75 g / L / hr.</p><p> </p>

scholarly journals Food Grade Ethanol Production Process of Sorghum Stem Juice Using Immobilized Cells Technique

2015 ◽  
Vol 9 (7) ◽  
pp. 8 ◽  
Author(s):  
Tri Widjaja ◽  
Ali Altway ◽  
Arief Widjaja ◽  
Umi Rofiqah ◽  
Rr Whiny Hardiyati Erlian
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Molecular Sieve ◽  
Zymomonas Mobilis ◽  
Immobilized Cells ◽  
Ethanol Yield ◽  
Continuous Fermentation ◽  
Continuous Process ◽  
Pichia Stipitis ◽  
Batch Process ◽  
Food Grade

One form of economic development efforts for waste utilization in rural communities is to utilize stem sorghum to produce food grade ethanol. Sorghum stem juice with 150 g/L of sugar concentration was fermented using conventional batch process and cell immobilization continuous process with K-carrageenan as a supporting matrix. The microorganism used was Mutated Zymomonas Mobilis to be compared with a mixture of Saccharomyces Cerevisiae and Pichia Stipitis, and a mixture of Mutated Zymomonas Mobilis and Pichia Stipitis. Ethanol in the broth, result of fermentation process, was separated in packed distillation column. Distilate of the column, still contain water and other impurities, was flown into molecular sieve for dehydration and activated carbon adsorption column to remove the other impurities to meet food grade ethanol specification. The packing used in distillation process was steel wool. For batch fermentation, the fermentation using a combination of Saccharomyces Cerevisiae and Pichia Stipitis produced the best ethanol with 12.07% of concentration, where the yield and the productivity were 63.49%, and 1.06 g/L.h, respectively. And for continuous fermentation, the best ethanol with 9.02% of concentration, where the yield and the productivity were 47.42% and 174.27 g/L.h, respectively, is obtained from fermentation using a combination of Saccharomyces Cerevisiae and Pichia Stipitis also. Fermentation using combination microorganism of Saccharomyces Cerevisiae and Pichia Stipitis produced higher concentration of ethanol, yield, and productivity than other microorganisms. Distillation, molecular sieve dehydration and adsorption process is quite successful in generating sufficient levels of ethanol with relatively low amount of impurities.

Analysis of Hopf Points for a Zymomonas mobilis Continuous Fermentation Process Producing Ethanol

2013 ◽  
Vol 52 (4) ◽  
pp. 1645-1655 ◽  
Author(s):  
Hangzhou Wang ◽  
Nan Zhang ◽  
Tong Qiu ◽  
Jinsong Zhao ◽  
Xiaorong He ◽  
...  
Keyword(s):  
Zymomonas Mobilis ◽  
Fermentation Process ◽  
Continuous Fermentation

scholarly journals Pengaruh Konsentrasi Ragi Tape (Saccharomyces Cerevisiae) terhadap Kadar Bioetanol Pada Proses Fermentasi Biji Alpukat (Persea Americana Mill)

2018 ◽  
Vol 7 (4) ◽  
pp. 173
Author(s):  
Mohd. Rizwan ◽  
Anang Wahid M. Diah ◽  
Ratman Ratman
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Fermentation Process ◽  
Raw Materials ◽  
Persea Americana ◽  
High Level ◽  
Avocado Seed

Avocado seed contains high level of starch and it can be used as one of the raw materials for bioethanol. This study aimed to determine the influence of variation concentration of tape starter toward bioethanol level in the fermentation process of avocado (persea americana Mill.) seed. Some process on this research were delignification with 4% NaOH, hydrolysis with 12% HCl, and fermentation with various concentrations of yeast tape (saccharomyces cerevisiae) ie 10%, 20% and 30% of substrate volume for 5 days. Bioethanol level was determined by using alcoholmeter. The highest bioethanol level was obtained in the addition of yeast tape as much as 30% of substrate that was an equal to 32.65% with density of 1.0029 g/mL.

scholarly journals MODEL PRODUKSI BIOETANOL DARI LIMBAH KEJU MENGGUNAKAN KLUYVEROMYCES MARXIANUS

2013 ◽  
Vol 2 (3) ◽  
pp. 22-28
Author(s):  
Rudy Agustriyanto ◽  
Akbarningrum Fatmawati
Keyword(s):  
Steady State ◽  
Fermentation Process ◽  
Cheese Whey ◽  
Continuous Fermentation ◽  
Raw Materials ◽  
Added Value ◽  
Alternative Source ◽  
Oil Reserves ◽  
And Mathematics ◽  
Cheese Production

The depletion of oil reserves hasbeen increasing interest in the development of alternative renewable energysources. Cheese whey as a waste of cheese production is one of the raw materials that can be used for bioethanol production. The aim ofthis study is to conduct critical assessment of the cheese whey fermentation process by applying the basic concepts of engineering and mathematics, to investigate the characteristics of the cheese whey fermentation process into bioethanol, and to obtain the optimum design of fermenter. This is done by developing steady state model of cheese whey fermentation system into ethanol based on kinetic data from previous research and using mass balance principle.The model was then used to simulate the continuous fermentation of cheese whey for ethanol production. At steady state conditions, the fermentation process of cheese whey into bioethanol is affected by the hydraulic retention time (R). At steady state conditions, the optimum value of R obtained is 25 hours based onhigh ethanol productivity. The results of this study will be useful in the design process and control of cheese whey fermentation reactions into ethanol.The utilization of waste from cheese production (cheese whey) that contain sugars which can be fermented will provide added value to the waste while providing an alternative source of renewable energy that is needed due to energy crisis.

scholarly journals MODELAGEM DA FERMENTAÇÃO ALCOÓLICA INDUSTRIAL CONTÍNUA COM MÚLTIPLOS REATORES EM SÉRIE

e-xacta ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 49
Author(s):  
Mayara Dos Santos Zanardi ◽  
Esly Ferreira Da Costa Junior
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Mathematical Models ◽  
Fermentation Process ◽  
Continuous Fermentation ◽  
Continuous Process ◽  
Maximum Yield ◽  
Optimization Method ◽  
Raw Material ◽  
In Series ◽  
Runge Kutta

<p><em>A modelagem nos permite prever o comportamento do processo e, posteriormente, propor melhorias, com o objetivo de obter o máximo rendimento do produto. No Brasil, o etanol é obtido, principalmente, a partir da fermentação da sacarose, presente na cana-de-açúcar. A fermentação ocorre em bioreatores e pode ser conduzida de forma contínua. Esse trabalho tem por objetivo desenvolver e simular modelos matemáticos para um processo de fermentação real, contínuo e com cinco reatores em série. Os dados experimentais foram obtidos em uma usina autônoma, localizada no município de Linhares-ES. A empresa utiliza como matéria-prima o caldo cana-de-açúcar e a levedura Saccharomyces cerevisiae. Os modelos matemáticos foram obtidos a partir da equação do balanço de massa para cada componente de interesse no reator. A integração numérica do sistema de EDOs é realizada pelo método de Runge-Kutta de 4ª ordem. O problema de otimização não linear, utilizado para encontrar os valores dos parâmetros cinéticos, é resolvido utilizando o método de otimização Simplex Nelder-Mead, implementado no software Matlab®. A concentração dos componentes no reator não foi constante, mesmo se tratando de um processo contínuo, porque o mesmo não opera no estado estacionário. Os modelos que consideraram a inibição por produto apresentaram um melhor desempenho em representar o processo de fermentação quando comparados aos modelos sem inibição. </em></p><p><em> </em></p><p><em>ABSTRACT</em></p><p><em></em><em>The modeling allows us to predict the behavior of the process and then to propose improvements, with objective to obtain the maximum yield of the product. In Brazil ethanol is mainly obtained from the fermentation of sucrose, present in the sugarcane. Fermentation occurs in bioreactors and can be conducted continuously. This work has the objective to develop and to simulate mathematical models for a real continuous fermentation process,  with five reactors in series. The experimental data were obtained in an autonomous plant, located in the Linhares-ES. The company uses as raw material sugarcane juice and Saccharomyces cerevisiae yeast. The mathematical models were obtained from the equation of mass balance for each component of interest in the reactor. The numerical integration of the ODE system is performed by the fourth-order Runge-Kutta method. The nonlinear optimization problem, used to find the kinetic parameter values, is solved using the Nelder-Mead Simplex optimization method implemented in Matlab® software. The concentration of the components in the reactor wasn’t constant, even if it is a continuous process, because it doesn’t operate at steady state. The models that considers the inhibition by product, presented a better performance, in representing the fermentation process, when compared with the models without inhibition.</em></p>

Bioconversion of Lignocellulose to Ethanol: A Review of Production Process

2011 ◽  
Vol 280 ◽  
pp. 246-249 ◽  
Author(s):  
Kun Chen ◽  
Long Jun Xu ◽  
Jun Yi
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Fermentation Process ◽  
Raw Materials ◽  
Hot Spot ◽  
Fermentation Inhibitors ◽  
Double Function ◽  
Key Technologies ◽  
Pretreatment Technology ◽  
Biomass To Ethanol ◽  
Lignocellulose Biomass

Lignocellulose biomass is a kind of rich reserve in china, and it is a renewable bio-resource. Researches on the bioconversion of lignocellulose (lignocellulosic biomass) to ethanol have been hot spot in recent years. The key technologies of producing fuel alcohol by aspects of lignocellulosic raw materials, pretreatment technology, fermentation process, enzymatic hydrolysis and fermentation of strains as well as the removal of fermentation inhibitors have been reviewed. It is pointed out that the improvement of fermentation strains, exploitation of double function saccharomyces cerevisiae (glucose and xylose fermenting) to ethanol, will be the direction and focus in future researches.

scholarly journals Potential in Bioethanol Production from Various Agro Wastes Fermenting by Microorganisms Using Carrot Peel, Onion Peel, Potato Peel and Sugar Beet Peel as Substrates

2021 ◽  
Vol 3 (2) ◽  
pp. 27-31
Author(s):  
Isaie Mushimiyimana ◽  
Celestin Sirimu ◽  
Fidel Niyitanga ◽  
Leoncie Niyonsaba
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Gas Chromatography ◽  
Sugar Beet ◽  
Fermentation Process ◽  
Raw Materials ◽  
Bioethanol Production ◽  
Distillation Process ◽  
Potato Peel ◽  
Onion Peel ◽  
Fermented Product

Large amount of agro wastes is produced in Rwanda each year. The global annual potential bioethanol production from the major vegetables wastes such as carrot peel, onion peel, potato peel and sugar beet peel were estimated. Those wastes processing was successfully used as raw materials for the production of bioethanol, employing by cellulase produced from various filamentous fungi including Cladosporium cladosporioides was used for hydrolysis and the fermentation of the hydrolyzed samples was done using Saccharomyces cerevisiae. The fermented product was purified by primary distillation process at 79°C and the fraction was collected. The ethanol is then determined by specific dichromate method and Gas Chromatography. Instantaneous saccharification and fermentation process yielded maximum ethanol in the substrate of carrot peel was 16.9% at 21st day and further confirmed by Gas chromatography and the yield of ethanol obtained was 15.8%.

Achieving Procedure of a Kinetic Model to Predict the Influence of the Process Global Temperature on a Technological Alcoholic Fermentation II. An Arrhenius type Kinetic Model

2008 ◽  
Vol 59 (4) ◽  
Author(s):  
Neculai Catalin Lungu ◽  
Maria Alexandroaei
Keyword(s):  
Experimental Data ◽  
Saccharomyces Cerevisiae ◽  
Kinetic Model ◽  
Economic Efficiency ◽  
Fermentation Process ◽  
Alcoholic Fermentation ◽  
Global Temperature ◽  
Medium Temperature ◽  
Biotechnological Process

The aim of the present work is to offer a practical methodology to realise an Arrhenius type kinetic model for a biotechnological process of alcoholic fermentation based on the Saccharomyces cerevisiae yeast. Using the experimental data we can correlate the medium temperature of fermentation with the time needed for a fermentation process under imposed conditions of economic efficiency.

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