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İzmit, Turkey
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News Article | November 24, 2016
Site: www.newsmaker.com.au

Active dry yeast of Red Star Yeast Company, LLC is a famous one. Active dry yeast is also widely used in wine industry for quick fermentation of grapes rather than the spontaneous or natural fermentation process. The active dry yeast has lower activity than other type of yeast such as compressed yeast. Active dry yeast also finds application in the industrial biotechnology, such as production of chemicals and fuels. Yeast are used in conversion of agricultural-food wastes in to biofuels, which propels the growth of global active dry yeast market. Yeast is a fungus which converts starch and sugar resulting in to alcohol and carbon dioxide. Yeast is an important ingredient for bakery and confectionary industry. Active dry yeast is a type of yeast which can be used after dissolving in small quantity of water, and gets activated after leaving it for say 10 minutes. The active dry yeast market is primarily driven by the end user industries such as brewery and bakery. Yeast is a daily item required in very home, and used for fermentation process. Also, it is does not results in any side effects, which again helps in the growth of global active dry yeast market. The production of active dry yeast is mainly from the molasses which is the end product of sugarcane/ sugar manufacturing plants, thus the production cost involved is also low. Hence, the available at cheap cost. Based on the application, the global active dry yeast market is segmented into: Based on the end user industry, the global active dry yeast market is segmented into: The global active dry yeast market is geographically divided in to five key regions including North America, Latin America, Europe, Asia-Pacific and Middle East & Africa. North America and Europe holds maximum share in the consumption of active dry yeast. The research with yeast to find other applications than fermentation is in swing, with momentum to use in areas biotechnology is new trend. Hagold Hefe GmbH, Asmussen GmbH are the bigger players in the European active yeast market. Asia Pacific followed by Latin America and Middle East and Africa are the next top market for active dry yeast market. Some of the key players identified in the global active dry yeast market are Lesaffre, Hagold Hefe GmbH, Dingtao Yongxing Foods Co. Ltd, Asmussen GmbH, ACH Foods, LALLEMAND Inc., AB Mauri Food Inc., Pakmaya, Angel Yeast Co., Ltd etc. The research report presents a comprehensive assessment of the market and contains thoughtful insights, facts, historical data, and statistically supported and industry-validated market data. It also contains projections done using a suitable set of assumptions and methodologies. The research report provides analysis and information according to categories such as market segments, geographies, type, machine size and end use.


Turker M.,Pakmaya | Baspinar A.B.,Yildiz Holding | Hocalar A.,Pakmaya
Journal of Chemical Technology and Biotechnology | Year: 2012

Background: Hydrogen sulphide (H 2S) present in biogas can be oxidized to elemental sulphur (S 0) or sulphate (SO 4 2-) using nitrate and nitrite. Both nitrate and nitrite are normally available in most wastewater treatment plants and could be used to oxidize H 2S depending on the molar loading ratio of wastewater and biogas. A control approach is required in order to minimize the fluctuations in inlet and outlet H 2S concentrations in biogas, and the oxidation potential of the wastewater used. Results: A control scheme has been developed for biogas desulphurization using oxidation reduction potential under industrial conditions. The redox potential was maintained at about + 50 to + 100 mV in the activated sludge plant to monitor the performance of the nitrification process. The redox potential in the bioscrubber was related to sulphide removal from biogas. More than 90% of the hydrogen sulphide was removed from the biogas. Conclusion: The oxidation reduction potential can be used as a key parameter for monitoring and controlling biogas cleaning. Fluctuations of the inlet H 2S concentration in biogas can be compensated by manipulating the flowrates of wastewater used in order to achieve consistent and desired H 2S concentrations in treated biogas. © 2011 Society of Chemical Industry.


Koni M.,Takosan A.S. | Yuzgec U.,Bilecik University | Yuzgec U.,Kocaeli University | Turker M.,Pakmaya | Dincer H.,Kocaeli University
Drying Technology | Year: 2010

A control system was designed using adaptive neuro-fuzzy inference system (ANFIS) for industrial-scale batch drying of baker's yeast. The temperature and flow rate of inlet air were considered as the manipulated variables to control the temperature and dry matter of the product, respectively, resulting in two adaptive fuzzy controllers. The membership functions for all inputs were adjusted by a hybrid learning algorithm. The database used in this work comprises large quantities of industrial-scale data (about 570 batches) obtained under different working conditions over one year. This database was used for learning and testing phases of the ANFIS controller. The performance of the proposed controller demonstrates the effectiveness and potential of the proposed ANFIS-based controller. © 2010 Taylor & Francis Group, LLC.


Dogan E.C.,Kocaeli University | Turker M.,Pakmaya | Dagacsan L.,Pakmaya | Arslan A.,Kocaeli University
Biotechnology and Bioprocess Engineering | Year: 2012

Bio-oxidation of sulfide under denitrifying conditions is a key process in the treatment of gas and liquids that are contaminated with sulfide and nitrite. A lab-scale continuous flow stirred tank reactor (CFSTR) was operated with nitrite as the electron acceptor for the evaluation of the effects of loading rates, hydraulic retention time (HRT) and substrate concentrations on the performance of the autotrophic denitrification process. The influent sulfide concentration was maintained at 0.16 kg/m3 and the HRT was decreased from 8.4 to 2 h and for the entire study period, the sulfide removal efficiency was above 80% for the loading rates that ranged from 0.47 to 2.16 kg S -2/m3day. However, lower influent loading of NO 2 --N that correspond to the stoichiometric ratios was used and the nitrite removal efficiency was close to 100%. The stoichiometry of sulfide oxidation was calculated by assuming the different end-products based on thermo-dynamic approach. We compared the calculated values with experimental yield values. © 2012 The Korean Society for Biotechnology and Bioengineering and Springer.


Can-Dogan E.,Kocaeli University | Turker M.,Pakmaya | Dagasan L.,Pakmaya | Arslan A.,Kocaeli University
Water Science and Technology | Year: 2010

Sulfide is present in wastewaters as well as in biogas and can be removed by several physicochemical and biotechnological processes. Nitrate is a potential electron acceptor, readily available in most wastewater treatment plants and it can replace oxygen under anoxic conditions. A lab-scale reactor was operated for treatment of sulfide containing wastewater with nitrate as an electron acceptor and is used to evaluate the effects of volumetric loading rates, hydraulic retention time (HRT) and substrate concentrations on the performance of the lithotrophic denitrification process for treating industrial fermentation wastewaters. Sulfide is removed more than 90% at the loading rates between 0.055 and 2.004 kg S-2/m3 d, when the influent sulfide concentration is kept around 0.163 kg/m3 and the HRT decreased from 86.4 to 2 h. Nitrogen removal differed between 23 and 99% with different influent NO3 --N concentration and loading rates of NO3 -/S-2 ratio. The stoichiometry of sulfide oxidation with nitrate is calculated assuming different end-products based on thermodynamic approach and compared with experimental yield values. The calculated maximum volumetric and specific sulfide oxidation rates reached 0.076 kg S-2/m3 h and 0.11 kg S-2/kg VSS h, respectively. The results are obtained at industrially relevant conditions and can be easily adapted to either biogas cleaning process or to sulfide containing effluent streams. © IWA Publishing 2010.


Baspinar A.B.,Pakmaya | Turker M.,Pakmaya | Hocalar A.,Pakmaya | Ozturk I.,Technical University of Istanbul
Process Biochemistry | Year: 2011

Biogas desulphurization was carried out in a continuous bioscrubber with a volume of 5 m3 using aerobically treated wastewater containing activated sludge and mixture of nitrate (NO3-) and nitrite (NO2-) as electron acceptors in industrial relevant conditions. Both nitrate and nitrite were provided from full-scale activated sludge treatment plant operated and controlled using dissolved oxygen and redox sensors to make sure nitrification performed and biogas was provided from anaerobic digester. The biogas flowrate changed from 5 to 25 m3/h and wastewater flowrate from 2.5 to 15 m3/h. The volumetric sulphide loading rates ranged between 2 and 22 kg S2- m-3 d -1. The optimum wastewater/biogas ratio observed for maximum H 2S removal rates was in the range of 2-3 m3/m3 and minimum empty bed residence time (EBRT) determined was around 10 min. Nitrogen removal in the form of nitrate and nitrite was found to be proportional to sulphide removal. The redox potential of the effluent was also monitored and related to the wastewater/biogas ratio. More than 95% of H2S has been removed from biogas in this study when the volumetric sulphide loading rates were between 2 and 4 kg S2- m-3 d-1. This work reveals that sulphide removal can successfully be integrated to biological nitrogen removal (BNR) in industrial wastewater treatment systems. © 2011 Elsevier Ltd.


Hocalar A.,Pakmaya | Turker M.,Pakmaya | Karakuzu C.,Bilecik University | Yuzgec U.,Bilecik University
ISA Transactions | Year: 2011

In this study, previously developed five different state estimation methods are examined and compared for estimation of biomass concentrations at a production scale fed-batch bioprocess. These methods are i. estimation based on kinetic model of overflow metabolism; ii. estimation based on metabolic black-box model; iii. estimation based on observer; iv. estimation based on artificial neural network; v. estimation based on differential evaluation. Biomass concentrations are estimated from available measurements and compared with experimental data obtained from large scale fermentations. The advantages and disadvantages of the presented techniques are discussed with regard to accuracy, reproducibility, number of primary measurements required and adaptation to different working conditions. Among the various techniques, the metabolic black-box method seems to have advantages although the number of measurements required is more than that for the other methods. However, the required extra measurements are based on commonly employed instruments in an industrial environment. This method is used for developing a model based control of fed-batch yeast fermentations. © 2011 ISA. Published by Elsevier Ltd. All rights reserved.


Hocalar A.,Pakmaya | Turker M.,Pakmaya
Biochemical Engineering Journal | Year: 2010

The specific growth rate should ideally be maintained at maximum oxidative growth rate in order to maximize biomass yield and productivity in fed-batch yeast fermentations. However, a more conservative approach is adopted in industry where specific growth rate is kept below the critical value to prevent the accumulation of overflow metabolite ethanol by using predetermined feeding profiles. In this work, biomass growth is maintained just above maximum oxidative growth rate by regulating ethanol concentration in the fermenter. The state feedback linearizing control strategy is developed and applied to the technical scale fed-batch yeast fermentations. The proposed control algorithm is constructed on the reliable state estimation algorithm developed previously and the biomass concentrations and ethanol measurements are then used in the control algorithm. The ethanol concentration is successfully controlled at fixed and time varying set values. By this approach the specific growth rate is controlled just over the critical value by regulating minimal ethanol concentration in order to maximize the biomass productivity. © 2010 Elsevier B.V.


Hocalar A.,Pakmaya | Turker M.,Pakmaya
Turkish Journal of Engineering and Environmental Sciences | Year: 2014

Model-based feedback linearizing control is studied for the control of fed-batch yeast fermentation. For this purpose, the specific growth rate of fed-batch baker's yeast fermentation is controlled with a state feedback linearizing control approach. All control algorithms are constructed on reliable primary measurements, data reconciliation, and state estimations developed previously. The obtained biomass concentrations and specific growth rates are used in the control algorithms. Initially, the results of open-loop specific growth rate controlled fed-batch baker's yeast fermentation are given to show the shortcomings of the existing control method in practice. The state feedback linearizing control of the specific growth rate is then applied to the fed-batch baker's yeast fermentation. Different specific growth rate profiles are investigated and results are presented. The successful implementation of the control of the specific growth rate is shown under the critical specific growth rate value and other limiting factors. © TÜBİTAK.


PubMed | Pakmaya
Type: Comparative Study | Journal: ISA transactions | Year: 2011

In this study, previously developed five different state estimation methods are examined and compared for estimation of biomass concentrations at a production scale fed-batch bioprocess. These methods are i. estimation based on kinetic model of overflow metabolism; ii. estimation based on metabolic black-box model; iii. estimation based on observer; iv. estimation based on artificial neural network; v. estimation based on differential evaluation. Biomass concentrations are estimated from available measurements and compared with experimental data obtained from large scale fermentations. The advantages and disadvantages of the presented techniques are discussed with regard to accuracy, reproducibility, number of primary measurements required and adaptation to different working conditions. Among the various techniques, the metabolic black-box method seems to have advantages although the number of measurements required is more than that for the other methods. However, the required extra measurements are based on commonly employed instruments in an industrial environment. This method is used for developing a model based control of fed-batch yeast fermentations.

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