Relevant bibliographies by topics / Fed-batch process

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Fed-batch process'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 June 2025

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Journal articles on the topic "Fed-batch process"

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Hadiyanto, H., D. Ariyanti, A. P. Aini, and D. S. Pinundi. "Batch and Fed-Batch Fermentation System on Ethanol Production from Whey using Kluyveromyces marxianus." International Journal of Renewable Energy Development 2, no. 3 (2013): 127–31. http://dx.doi.org/10.14710/ijred.2.3.127-131.

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Nowadays reserve of fossil fuel has gradually depleted. This condition forces many researchers to find energy alternatives which is renewable and sustainable in the future. Ethanol derived from cheese industrial waste (whey) using fermentation process can be a new perspective in order to secure both energy and environment. The aim of this study was to compare the operation modes (batch and fed-batch) of fermentation system on ethanol production from whey using Kluyveromyces marxianus. The result showed that the fermentation process for ethanol production by fed-batch system was higher at some point of parameters compared with batch system. Growth rate and ethanol yield (YP/S) of fed-batch fermentation were 0.122/h and 0.21 gP/gS respectively; growth rate and ethanol yield (YP/S) of batch fermentation were 0.107/h, and 0.12 g ethanol/g substrate, respectively. Based on the data of biomass and ethanol concentrations, the fermentation process for ethanol production by fed-batch system were higher at some point of parameters compared to batch system. Periodic substrate addition performed on fed-batch system leads the yeast growth in low substrate concentrations and consequently increasing their activity and ethanol productivity. Keywords: batch; ethanol; fed-batch; fermentation;Kluyveromyces marxianus, whey
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Upadhyay, Devang, Rinu Kooliyottil, Sivanadane Mandjiny, Floyd L. Inman III, and Leonard D. Holmes. "Mass Production of the Beneficial Nematode Steinernema carpocapsae Utilizing a Fed-Batch Culturing Process." International Journal of Phytopathology 2, no. 1 (2013): 52–58. http://dx.doi.org/10.33687/phytopath.002.01.0076.

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The present study deals with the batch and fed-batch mass production of Steinernema carpocapsae. S. carpocapsae is an entomoparasitic nematode that is used as a biological control agent of soil-borne crop insect pests. The ability and efficiency of fed-batch culture process was successful through the utilization of the nematode’s bacterial symbiont Xenorhabdus nematophila. Results from the fed-batch process were compared to those obtain from the standard batch process. The fed-batch process successively improved the mass production process of S. carpocapsae employing liquid medium technology. Within the first week of the fed-batch process (day six), the nematode density obtained was 202,000 nematodes mL−1; whereas on day six, batch culture mode resulted in a nematode density of 23,000 nematodes mL−1. The fed-batch process was superior to that of batch production with a yield approximately 8.8-fold higher. In fed-batch process, the nematode yield was improved 88.6 % higher within a short amount of time compared to the batch process. Fed-batch seems to make the process more efficient and possibly economically viable.
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Frade, Verônica M. F., Attilio Converti, Saleh Al Arni, Milena F. Silva, and Mauri S. A. Palma. "Batch and Fed-Batch Degradation of Enrofloxacin by the Fenton Process." Chemical Engineering & Technology 40, no. 4 (2017): 663–69. http://dx.doi.org/10.1002/ceat.201600146.

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Pan, Feng, Webo Xu, Ling Xu, Shiyi Lun, and Jian Chen. "Intelligent Control of the Fed-Batch Fermentation Process." IFAC Proceedings Volumes 32, no. 2 (1999): 7596–601. http://dx.doi.org/10.1016/s1474-6670(17)57297-3.

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Falkus, Heinz, and Marc Keulers. "Robust Identification of a Fed-Batch Fermentation Process." IFAC Proceedings Volumes 27, no. 8 (1994): 203–8. http://dx.doi.org/10.1016/s1474-6670(17)47716-0.

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Johnson, A. "Environmental Control of a Fed-batch Fermentation Process." IFAC Proceedings Volumes 20, no. 5 (1987): 357–62. http://dx.doi.org/10.1016/s1474-6670(17)55463-4.

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Kumar, M. Sitaram, Swapan K. Jana, V. Senthil, V. Shashanka, S. Vijay Kumar, and A. K. Sadhukhan. "Repeated fed-batch process for improving lovastatin production." Process Biochemistry 36, no. 4 (2000): 363–68. http://dx.doi.org/10.1016/s0032-9592(00)00222-3.

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Lennox, B., G. A. Montague, H. G. Hiden, G. Kornfeld, and P. R. Goulding. "Process monitoring of an industrial fed-batch fermentation." Biotechnology and Bioengineering 74, no. 2 (2001): 125–35. http://dx.doi.org/10.1002/bit.1102.

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Vanichsriratana, W., B. S. Zhang, and J. R. Leigh. "Optimal control of a fed-batch fermentation process." Transactions of the Institute of Measurement and Control 19, no. 5 (1997): 240–51. http://dx.doi.org/10.1177/014233129701900504.

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Moriel, Danilo Gomes, Miriam Blumel Chociai, Iara Maria Pereira Machado, José Domingos Fontana, and Tania Maria Bordin Bonfim. "Effect of feeding methods on the astaxanthin production by Phaffia rhodozyma in fed-batch process." Brazilian Archives of Biology and Technology 48, no. 3 (2005): 397–401. http://dx.doi.org/10.1590/s1516-89132005000300010.

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The effect of feeding methods on the production of astaxanthin by the yeast Phaffia rhodozyma ATCC 24202 was studied, using continuous and pulsed fed-batch processes and low cost materials as substrates (sugar cane juice and urea). In continuous fed-batch processes, a cellular astaxanthin concentration of 383.73 µg/g biomass was obtained. But in pulsed fed-batch processes a reduction in the cellular astaxanthin concentration (303.34 µg/g biomass) was observed. Thus the continuous fed-batch processes could be an alternative to industrial production of astaxanthin, allowing an increase in the biomass productivity without losses on astaxanthin production by the yeast.
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Dissertations / Theses on the topic "Fed-batch process"

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Jewaratnam, Jegalakshimi. "Batch-to-batch iterative learning control of a fed-batch fermentation process." Thesis, University of Newcastle upon Tyne, 2013. http://hdl.handle.net/10443/1901.

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Recently, iterative learning control (ILC) has been used in the run-to-run control of batch processes to directly update the control trajectory. The basic idea of ILC is to update the control trajectory for a new batch run using the information from previous batch runs so that the output trajectory converges asymptotically to the desired reference trajectory. The control policy updating is calculated using linearised models around the nominal reference process input and output trajectories. The linearised models are typically identified using multiple linear regression (MLR), partial least squares (PLS) regression, or principal component regression (PCR). ILC has been shown to be a promising method to address model-plant mismatches and unknown disturbances. This work presents several improvements of batch to batch ILC strategy with applications to a simulated fed-batch fermentation process. In order to enhance the reliability of ILC, model prediction confidence is incorporated in the ILC optimization objective function. As a result of the incorporation, wide model prediction confidence bounds are penalized in order to avoid unreliable control policy updating. This method has been proven to be very effective for selected model prediction confidence bounds penalty factors. In the attempt to further improve the performance of ILC, averaged reference trajectories and sliding window techniques were introduced. To reduce the influence of measurement noise, control policy is updated on the average input and output trajectories of the past a few batches instead of just the immediate previous batch. The linearised models are re-identified using a sliding window of past batches in that the earliest batch is removed with the newest batch added to the model identification data set. The effects of various parameters were investigated for MLR, PCR and PLS method. The technique significantly improves the control performance. In model based ILC the weighting matrices, Q and R, in the objective function have a significant impact on the control performance. Therefore, in the quest to exploit the potential of objective function, adaptive weighting parameters were attempted to study the performance of batch to batch ILC with updated models. Significant improvements in the stability of the performance for all the three methods were noticed. All the three techniques suggested have established improvements either in stability, reliability and/or convergence speed. To further investigate the versatility of ILC, the above mentioned techniques were combined and the results are discussed in this thesis.
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Minihane, B. J. "Micro-computer control of fed-batch pullulanase biosynthesis." Thesis, Cranfield University, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.280848.

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Chan, Man Ting. "Optimizing food waste composting process in fed-batch composter." HKBU Institutional Repository, 2015. https://repository.hkbu.edu.hk/etd_oa/217.

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Composting is considered as an effective and sustainable food waste treatment technology from the perspectives of volume reduction, stabilization and releasing the pressure on landfills. Community composter is a decentralized composting facility in fed-batch operational mode which is usually being installed in the backyard of institutes, hospitals, housing estate etc. to handle the food wastes generated daily. Albeit numerous operational issues including high initial acidity and oil content, poor decomposition and odor generation are commonly encountered in these facilities, which make it difficult to be accepted by the public. Therefore, the aim of the present study is to develop a composting mix formulation that can provide a solution to all these issues in a fed-batch food waste composting process. The first phase of this study aims at finding out an optimized formulation in a batch-scale food waste composting process through the use of alkaline amendments and microbial inoculum. For the first two experiments, artificial food wastes were prepared by mixing 1.3kg bread, 1kg boiled rice, 1kg cabbage, 0.5kg fully boiled pork and mixed with sawdust to obtain a C/N of 30 and adjusted moisture of the mixtures to 55%. The effect of different concentrations of zeolite compared to lime was studied in the first experiment. Zeolite was amended with food wastes and sawdust mixtures at 2% (ZI-2), 5% (ZI-5), 10% (ZI-10) to compare with lime in 2.25% (L-2.25) w/w (dry weight basis) and composted for 56 days. Results demonstrated that 10% of zeolite was optimal amendment rate compared to lower dosage of zeolite (2% & 5%) with stronger pH buffering capacity and greater decomposition efficiency. Addition of 2.25% of lime buffered the pH efficiently but increased the ammonia loss significantly which eventually reduced total nitrogen (TN) content of final product and posed odor emission problem. Amendment of 10% zeolite provided a higher adsorption affinity on ammonia resulting in 2.05% of TN value of final product which was higher than 1.72% of lime treatment. Furthermore, significantly higher seed germination 150% was achieved of ZI-10 compost compared to 135% of L-2.25 due to low ammonium content of product. The first experiment showed that application of less than 10% zeolite was not sufficient to buffer the acidity; as a result, organic matter decomposition was inhibited. However, the cost and reduction in treatment percentage of food waste in 10% application rate of zeolite is an issue of concern. To tackle this dilemma, food waste was amended with struvite salts at 1:2 molar ratio of MgO and K2HPO4 (Mg:P) with or without zeolite amended at either 5% or 10% amendment (Mg:P, Z5 + Mg:P & Z10 + Mg:P) and a control treatment with food waste only was also included. Results showed that treatment of Z10 + Mg:P was synergistically achieved of pH and EC buffering, and N conservation but not for the case of 5 % zeolite. Treatment of Z10 + Mg:P further reduced the N loss to 18% compared to 25% and 27% of Mg:P and Z5 + Mg:P respectively. However, there was insignificant difference in the final nitrogen content and decomposition rate among all treatments with struvite salts amendment. Comparing to the treatment of Z-10 of the first experiment to Z10 + Mg:P of the second experiment, Z-10 showed superior performance since better decomposition efficiency, shorter time to require to pass the GI (28 Days) and lower cost because of salts exclusion. To develop a multipurpose formulation for the fed-batch operational food waste composter, high lipids problem in food waste cannot be neglected because it is a critical factor to hinder the decomposition efficiency. Inoculation of oil degradative microorganisms was reported as an effective approach to facilitate the lipids. Therefore, the third experiment was to investigate the overall composting performance supplemented with 10% zeolite and microbial consortium. 10% zeolite with bacterial consortium significantly reduced the lipid contents from 7% to 1% compared to control treatments. Furthermore, treatments amended with 10% zeolite was proved to reduce ammonia emission and total volatile fatty acids level in the composting mass, therefore the total odor emission level can be reduced. Zeolite at 10% was found to be a suitable optimum additive for both synthetic and real-food wastes. Therefore, treatment of 10% zeolite with bacterial consortium is selected as an optimized formulation for further study of its application in a fed-batch composter. Following the food waste zeolite composting formulation obtained in Phase I, the aim of Phase II was to develop an ideal composting mix formulation for on-site commercial composters. Although the results have been demonstrated 10% zeolite with bacterial consortium facilitated the composting efficiency in batch composter, those amendments may be over-estimated if applied in a fed batch composter by using real food wastes. With this constraint, the applicability of these additives in commercial fed-batch composter needs to be assessed using locally generated food wastes. Treatments included food waste and sawdust mixtures at 4:1 mixing ratio (wet weight basis) were mixed with 2.25% of lime (L2.25), 10% of zeolite (Z10) and 10% zeolite with bacterial inoculum (Z10+O) and a control of food waste with sawdust mixture only was also included. 35 kg compost mixture was fed into each composter respectively daily for a period of 42 days. Only Z10+O was the most suitable composting mix for fed-batch food waste composting process with continuous sustained high temperature (55-60oC), optimal moisture (55%-60%), alkaline pH and low EC during the experimental period. Bacterial inoculum significantly improved the lipids decomposition from 22.16% (C) to 3.10% (Z10+O) after the composting period. In contrast, lime and zeolite alone treatments could not maintain the optimal pH that led to reduce degradation and longer stabilization period. Only compost taken from Z10+O treatment could be classified as mature compost. The aim of the third study phase was to examine an optimal application rate of food waste compost produced from decentralized food waste composter for plant. A plant growth experiment was conducted in this phase to evaluate the change in soil properties and plant growth of Brassica chinensis and Lycopersicon esculentum. The experiment was conducted in a loamy soil amended with 0%, 2.5%, 5% and 10% food waste compost amendment rate compared to the control soil with chemical fertilizer amendment only. Results indicated that 5% was the optimal application rate of food waste compost for both crops among all treatments which can be evidenced by the highest biomass production and nutrients value of the plant tissues. Plant available nutrients such as NH4+, NO3-, PO43- were proportionally increased with increase in compost application rate. However, 2.5% of the food waste compost did not provide sufficient nutrients for plant growth and 10% showed negative effects due to increased salts content. Plants amended with chemical fertilizer had relatively low biomass production compared to compost amended treatments due to soil compaction and fast leaching of nutrients. It can be concluded that application of 10% zeolite with microbial consortium is an ideal composting mix formulation for on-site commercial composters and 5% is an optimal application rate of food waste compost of Brassica chinensis and Lycopersicon esculentum
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Montgomery, Paul Anthony. "On-line optimisation of a multivariable fed-batch fermentation process." Thesis, Liverpool John Moores University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.252788.

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Chen, Haisong. "Methods and algorithms for optimal control of fed-batch fermentation processes." Thesis, Cape Peninsula University of Technology, 2005. http://hdl.handle.net/20.500.11838/1151.

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Thesis (MTech (Electrical Engineering))--Cape Peninsula University of Technology, 2005<br>Fennentation is the process that results in the fonnation ofalcohol or organic acids on the basis of growth of bacteria, moulds or fungi on different nutritional media (Ahmed et al., 1982). Fennentation process have three modes of operation i.e. batch, fed-batch and continuous ones. The process that interests a lot of control engineers is the fed-batch fennentation process (Johnson, 1989). The Fed-batch process for the production ofyeast is considered in the study. The fennentation is based on the Saccharomyces cerevisiae yeast. It grows in both aerobic and anaerobic environmental conditions with maximum product in the aerobic conditions, also at high concentration of glucose (Njodzi, 200I). Complexity of fed-batch fennentation process, non-linearity, time varying characteristics, application of conventional analogue controllers provides poor control due to problems in tuning individual loops and the process characteristics. The problem for control of the fed-batch process for the production of yeast is further complicated by the lack of on-line sensors, lack ofadequate models as a result ofpoorly understood dynamics. The lack of on-line sensors results in the impossibility oftuning the analogue controllers in real time. The process for propagation of yeast in aerobic conditions is considered in the dissertation. The experiments are conducted at the University of Cape Town (DCT), Department of Chemical Engineering with a bioreactor and bio-controller combined in a Biostat ® C lab scale plant (H. Braun Biotech International, 1996). The bio-controller has built in Pill controller loops for control variables, with the ability to adjust the controller parameters i.e. P, D and I through the serial interface (SeidIer, 1996).
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Pareek, Tirusha. "Fed-batch bio-process development and optimization of cetuximab production at lab scale." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-444795.

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Mkondweni, Ncedo S. "Modelling and optimal control of fed-batch fermentation process for the production of yeast." Thesis, Peninsula Technikon, 2002. http://hdl.handle.net/20.500.11838/1122.

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Thesis (MTech (Electrical Engineering))--Peninsula Technikon, Cape Town, 2002<br>Fermentation is the process that results in the formation of alcohol or organic acids on the basis of growth of bacteria, moulds or fungi on different nutritional media (Ahmed et al., 1982). Fermentation process have three modes of operation i.e. batch, fed-batch and continuous mode ofoperation. The process that interests a lot of control engineers is the fed-batch fe=entation process (Johnson, 1989). The Fed-batch process for the production ofyeast is considered in the study. The considered yeast in the study is the Saccharomyces cerevisiae. It grows in both aerobic and anaerobic environmental conditions with maximum product in the aerobic conditions, also at high concentration of glucose (Njodzi, 2001). Complexity of fedbatch fe=entation process, non-linearity, time varying characteristics, application of conventional analogue controllers provides poor control due to problems in tuning individual loops and the process characteristics. The problem for control of the fedbatch process for the production of yeast is further complicated by the lack of on-line sensors, lack of adequate models as a result of poorly understood dynamics. The lack of on-line sensors results in the impossibility of tuning the analogue controllers in real time. The process for propagation of yeast in aerobic conditions is considered in the dissertation. The experiments are conducted at the University of Cape Town (VCT), Department of Chemical Engineering with a bioreactor and bio-controller are combined in a Biostat ® C lab scale plant (B. Braun Biotech International, 1996). The bio-controller has built in PID controller loops for control variables, with the ability to adjust the controller parameters i.e. P, D and I through the serial interface (Seidler, 1996).
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Jardon, Mario Alberto. "Modulating autophagy and glutamine metabolism in CHO cells to increase fed-batch process performance." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/42467.

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Valuable recombinant therapeutic proteins are routinely produced from Chinese hamster ovary (CHO) cells in fed-batch cultivations. An improved understanding of the physiological factors that affect cell proliferation, survival, productivity and product quality in fed-batch could contribute to facilitate general access to these products. This work describes the investigation of autophagy and glutamine metabolism in CHO cells for the purpose of increasing fed-batch process performance. The close link between glutamine deprivation and autophagy was found to greatly affect process performance, with an increase of the cellular lysosomal compartment correlated with decreased cell-specific productivity. The increased autophagic activity upon glutamine withdrawal was confirmed by the formation of GFP-LC3 fluorescent puncta and by an LC3 autophagic flux assay. The use of 3-methyl adenine (3-MA) to inhibit autophagy increased the yield of recombinant tissue plasminogen activator (t-PA) by 2.8-fold, without compromising the glycosylation capacity of the cells given that the t-PA fucosylation, galactosylation and sialylation all increased. A more comprehensive study of glutamine metabolism and autophagy performed, including by investigating 2 additional CHO cell lines expressing different antibody proteins. The mitochondrial and lysosomal changes in response to glutamine deprivation varied substantially between cell lines, illustrating how the susceptibility to autophagy can be cell-line dependent. Integrating the combined effect of enhanced proliferation (achieved through modulation of glutamine metabolism) and inhibition of autophagy (by treatment with 3-MA), a maximum 4.6-fold increase of t-PA production was obtained in fed-batch culture. Finally, autophagy and glutamine metabolism were explored in cancer cell lines, and produced original findings on the potential for Raman spectroscopy to analyze live cell physiological responses to conditions that trigger autophagy. Overall, this study illustrates the potential for a fruitful interaction between basic scientific research and applied biotechnology. The investigation of response mechanisms to cellular stress provided opportunities to both improve industrial processing and open new perspectives for basic biological research.
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Brik, Ternbach Michael Alexander. "Modeling based process development of fed-batch bioprocesses : L-Valine production by Corynebacterium glutamicum." kostenfrei, 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=977739376.

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Bhardwaj, Vinayak. "Design of an optimised fed-batch process for insulin precursor production in Pichia pastoris." Master's thesis, University of Cape Town, 2011. http://hdl.handle.net/11427/10120.

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Includes bibliographical references (leaves 98-103).<br>The increasing prevalence of diabetes worldwide has greatly increased the demand for insulin, a key type of treatment for many diabetics. For this purpose, the methylotrophic yeast Pichia pastoris has emerged as an additional microbial host for recombinant insulin production. A genetically modified Pichia pastoris MutS strain, engineered to produce the insulin precursor, was used as the experimental system in this study in order to optimise the insulin production process. The experimental system developed in this study employed a two-stage fed-batch feeding strategy in which growth was optimised by feeding glycerol to boost biomass followed by induction of the gene encoding insulin precursor by feeding methanol.
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Books on the topic "Fed-batch process"

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Ternbach, Michel Brik. Modeling based process development of fed-batch bioprocesses: L-valine production by Corynebacterium glutamicum. Forschungszentrum Jülich, 2005.

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Book chapters on the topic "Fed-batch process"

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Brown, D. E., P. A. Allinson, and B. J. Minihane. "A Fed-Batch Process for Pullulanase Production." In Computer Applications in Fermentation Technology: Modelling and Control of Biotechnological Processes. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-1141-3_34.

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Zhang, Jie, Zhihua Xiong, Delautre Guillaume, and Alexandre Lamande. "Batch to Batch Iterative Learning Control of a Fed-Batch Fermentation Process." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27329-2_35.

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Xiao, Zhihua, Steve Warr, Yuen-Ting Chim, et al. "Rapid Fed-Batch Process Development in SimCell™." In Proceedings of the 21st Annual Meeting of the European Society for Animal Cell Technology (ESACT), Dublin, Ireland, June 7-10, 2009. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0884-6_85.

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Carvalho, João C. M., Raquel P. Bezerra, Marcelo C. Matsudo, and Sunao Sato. "Cultivation of Arthrospira (Spirulina) platensis by Fed-Batch Process." In Advanced Biofuels and Bioproducts. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3348-4_33.

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Storms, Scott D., Jenny Y. Bang, and Tom Fletcher. "Accelerating Fed-Batch Process Development Using Rationally Designed Feed Media." In Cells and Culture. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-3419-9_58.

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Jalel, N. A., and J. R. Leigh. "Modelling The Fed Batch Fermentation Process Using Artificial Neural Networks." In ICANN ’93. Springer London, 1993. http://dx.doi.org/10.1007/978-1-4471-2063-6_245.

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Badino, A. C., M. Barboza, and C. O. Hokka. "Power Input and Oxygen Transfer in Fed-Batch Penicillin Production Process." In Advances in Bioprocess Engineering. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-017-0641-4_22.

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Mutturi, Sarma, and Anindya Basu. "Modeling and Theoretical Analysis of Isomaltooligosaccharide (IMO) Production Using Fed-Batch Process." In Biotechnology and Biochemical Engineering. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1920-3_8.

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Hong, Jeong Jin, and Jie Zhang. "Quality Prediction for a Fed-Batch Fermentation Process Using Multi-Block PLS." In Springer Proceedings in Physics. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13624-5_15.

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Jiang, Yun, Erik Svensson, and Véronique Chotteau. "Improvement of a CHO Fed-Batch Process by Fortifying with Plant Peptones." In Cells and Culture. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-3419-9_49.

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Conference papers on the topic "Fed-batch process"

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Zhang, Jie, Jerome Nguyan, Julian Morris, and Zhihua Xiong. "Batch to batch iterative learning control of a fed-batch fermentation process using linearised models." In 2008 10th International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE, 2008. http://dx.doi.org/10.1109/icarcv.2008.4795610.

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Zhang, Hongwei, Ze Zhang, and Le Hung Lan. "Evolutionary optimization of a fed-batch penicillin fermentation process." In 2010 International Symposium on Computer, Communication, Control and Automation (3CA). IEEE, 2010. http://dx.doi.org/10.1109/3ca.2010.5533789.

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Schneider, R. "Adaptive predictive control for the fed batch fermentation process." In International Conference on Control '94. IEE, 1994. http://dx.doi.org/10.1049/cp:19940140.

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Ashoori, Ahmad, Amir Hosein Ghods, Ali Khaki-Sedigh, and Mohammad Reza Bakhtiari. "Model predictive control of a nonlinear fed-batch fermentation process." In 2008 10th International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE, 2008. http://dx.doi.org/10.1109/icarcv.2008.4795727.

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Juuso, Esko K. "Intelligent Dynamic Simulation of a Fed-Batch Enzyme Fermentation Process." In Tenth International Conference on Computer Modeling and Simulation (uksim 2008). IEEE, 2008. http://dx.doi.org/10.1109/uksim.2008.133.

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Dapeng Zhang, Aiguo Wu, and Zhiling Lin. "Optimization of fed-batch fermentation process based on structured model." In 2008 7th World Congress on Intelligent Control and Automation. IEEE, 2008. http://dx.doi.org/10.1109/wcica.2008.4593173.

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Herrera, Enrique, Bernardino Castillo, Jesus Ramirez, and Eugenio C. Ferreira. "Exact Fuzzy Observer for a Baker's Yeast Fed-Batch Fermentation Process." In 2007 IEEE International Fuzzy Systems Conference. IEEE, 2007. http://dx.doi.org/10.1109/fuzzy.2007.4295502.

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R. Tzoneva. "Method for Optimal Control Calculation of a Fed-batch Fermentation Process." In 2006 14th Mediterranean Conference on Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/med.2006.236970.

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Tzoneva, R. "Method for Optimal Control Calculation of a Fed-batch Fermentation Process." In 2006 14th Mediterranean Conference on Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/med.2006.328772.

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Lu, Kezhong, and Haibo Li. "Optimal control of fed-batch process with improved particle swarm optimization." In 2010 Chinese Control and Decision Conference (CCDC). IEEE, 2010. http://dx.doi.org/10.1109/ccdc.2010.5498107.

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