Relevant bibliographies by topics / Chemostat

Contents

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

Academic literature on the topic 'Chemostat'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Chemostat"

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Muñoz-Aguayo, Jeannette, Kevin S. Lang, Timothy M. LaPara, Gerardo González, and Randall S. Singer. "Evaluating the Effects of Chlortetracycline on the Proliferation of Antibiotic-Resistant Bacteria in a Simulated River Water Ecosystem." Applied and Environmental Microbiology 73, no. 17 (July 6, 2007): 5421–25. http://dx.doi.org/10.1128/aem.00708-07.

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ABSTRACT Antibiotics and antibiotic metabolites have been found in the environment, but the biological activities of these compounds are uncertain, especially given the low levels that are typically detected in the environment. The objective of this study was to estimate the selection potential of chlortetracycline (CTC) on the antibiotic resistance of aerobic bacterial populations in a simulated river water ecosystem. Six replicates of a 10-day experiment using river water in continuous flow chemostat systems were conducted. Each replicate used three chemostats, one serving as a control to which no antibiotic was added and the other two receiving low and high doses of CTC (8 μg/liter and 800 μg/liter, respectively). The addition of CTC to the chemostats did not impact the overall level of cultivable aerobic bacteria (P = 0.51). The high-CTC chemostat had significantly higher tetracycline-resistant bacterial colony counts than both the low-CTC and the control chemostats (P < 0.035). The differences in resistance between the low-CTC and control chemostats were highly nonsignificant (P = 0.779). In general a greater diversity of tet resistance genes was detected in the high-CTC chemostat and with a greater frequency than in the low-CTC and control chemostats. Low levels of CTC in this in vitro experiment did not select for increased levels of tetracycline resistance among cultivable aerobic bacteria. This finding should not be equated with the absence of environmental risk, however. Low concentrations of antibiotics in the environment may select for resistant bacterial populations once they are concentrated in sediments or other locations.
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Brauer, Matthew J., Alok J. Saldanha, Kara Dolinski, and David Botstein. "Homeostatic Adjustment and Metabolic Remodeling in Glucose-limited Yeast Cultures." Molecular Biology of the Cell 16, no. 5 (May 2005): 2503–17. http://dx.doi.org/10.1091/mbc.e04-11-0968.

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We studied the physiological response to glucose limitation in batch and steady-state (chemostat) cultures of Saccharomyces cerevisiae by following global patterns of gene expression. Glucose-limited batch cultures of yeast go through two sequential exponential growth phases, beginning with a largely fermentative phase, followed by an essentially completely aerobic use of residual glucose and evolved ethanol. Judging from the patterns of gene expression, the state of the cells growing at steady state in glucose-limited chemostats corresponds most closely with the state of cells in batch cultures just before they undergo this “diauxic shift.” Essentially the same pattern was found between chemostats having a fivefold difference in steady-state growth rate (the lower rate approximating that of the second phase respiratory growth rate in batch cultures). Although in both cases the cells in the chemostat consumed most of the glucose, in neither case did they seem to be metabolizing it primarily through respiration. Although there was some indication of a modest oxidative stress response, the chemostat cultures did not exhibit the massive environmental stress response associated with starvation that also is observed, at least in part, during the diauxic shift in batch cultures. We conclude that despite the theoretical possibility of a switch to fully aerobic metabolism of glucose in the chemostat under conditions of glucose scarcity, homeostatic mechanisms are able to carry out metabolic adjustment as if fermentation of the glucose is the preferred option until the glucose is entirely depleted. These results suggest that some aspect of actual starvation, possibly a component of the stress response, may be required for triggering the metabolic remodeling associated with the diauxic shift.
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O'Connell, Heather A., Greg S. Kottkamp, James L. Eppelbaum, Bryan A. Stubblefield, Sarah E. Gilbert, and Eric S. Gilbert. "Influences of Biofilm Structure and Antibiotic Resistance Mechanisms on Indirect Pathogenicity in a Model Polymicrobial Biofilm." Applied and Environmental Microbiology 72, no. 7 (July 2006): 5013–19. http://dx.doi.org/10.1128/aem.02474-05.

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ABSTRACT Indirect pathogenicity (IP), the commensal protection of antibiotic-sensitive pathogens by resistant microorganisms of low intrinsic virulence, can prevent the eradication of polymicrobial infections. The contributions of antibiotic resistance mechanisms and biofilm structure to IP within polymicrobial biofilms were investigated using a model two-member consortium. Escherichia coli ATCC 33456 was transformed with vectors conferring either ampicillin or spectinomycin resistance, creating two distinct populations with different resistance mechanisms. Each strain alone or the consortium was grown as biofilms in flow cells and planktonically in chemostats. Comparisons in survival and activity were made on the basis of MICs and minimum biofilm preventative concentrations, a newly introduced descriptor. In ampicillin-containing medium, commensal interactions were evident during both modes of cultivation, but the sensitive strain experienced a greater benefit in the chemostat, indicating that the biofilm environment limited the commensal interaction between the Ampr and Sptr strains. In spectinomycin-containing medium, growth of the sensitive strain in chemostats and biofilms was not aided by the resistant strain. However, green fluorescent protein expression by the sensitive strain was greater in mixed-population biofilms (9% ± 1%) than when the strain was grown alone (2% ± 0%). No comparable benefit was evident during growth in the chemostat, indicating that the biofilm structure contributed to enhanced activity of the sensitive strain.
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Ogden, Adam, Michael Kuhn, Michael Dority, Susan Buist, Shawn Mehrens, Tong Zhu, Deqing Xiao, J. Richard Miller, and Debra Hanna. "Evaluation of Pharmacokinetic/Pharmacodynamic Relationships of PD-0162819, a Biotin Carboxylase Inhibitor Representing a New Class of Antibacterial Compounds, UsingIn VitroInfection Models." Antimicrobial Agents and Chemotherapy 56, no. 1 (October 10, 2011): 124–29. http://dx.doi.org/10.1128/aac.00090-11.

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ABSTRACTThe present study investigated the pharmacokinetic/pharmacodynamic (PK/PD) relationships of a prototype biotin carboxylase (BC) inhibitor, PD-0162819, againstHaemophilus influenzae3113 in static concentration time-kill (SCTK) and one-compartment chemostatin vitroinfection models.H. influenzae3113 was exposed to PD-0162819 concentrations of 0.5 to 16× the MIC (MIC = 0.125 μg/ml) and area-under-the-curve (AUC)/MIC ratios of 1 to 1,100 in SCTK and chemostat experiments, respectively. Serial samples were collected over 24 h. For efficacy driver analysis, a sigmoid maximum-effect (Emax) model was fitted to the relationship between bacterial density changes over 24 h and corresponding PK/PD indices. A semimechanistic PK/PD model describing the time course of bacterial growth and death was developed. The AUC/MIC ratio best explained efficacy (r2= 0.95) compared to the peak drug concentration (Cmax)/MIC ratio (r2= 0.76) and time above the MIC (T>MIC) (r2= 0.88). Static effects and 99.9% killing were achieved at AUC/MIC values of 500 and 600, respectively. For time course analysis, the net bacterial growth rate constant, maximum bacterial density, and maximum kill rate constant were similar in SCTK and chemostat studies, but PD-0162819 was more potent in SCTK than in the chemostat (50% effective concentration [EC50] = 0.046 versus 0.34 μg/ml). In conclusion, basic PK/PD relationships for PD-0162819 were established usingin vitrodynamic systems. Although the bacterial growth parameters and maximum drug effects were similar in SCTK and the chemostat system, PD-0162819 appeared to be more potent in SCTK, illustrating the importance of understanding the differences in preclinical models. Additional studies are needed to determine thein vivorelevance of these results.
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Ratsak, C. H., B. W. Kooi, and H. W. van Verseveld. "Biomass Reduction and Mineralization Increase Due to the Ciliate Tetrahymena pyriformis Grazing on the Bacterium Pseudomonas fluorescens." Water Science and Technology 29, no. 7 (April 1, 1994): 119–28. http://dx.doi.org/10.2166/wst.1994.0322.

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The currently high sludge production and increasing processing costs call for waste-water treatment plants with high purification efficiency and low biomass production. We studied the latter issue through two-stage chemostat cascades to assess the overall biomass reduction due to ciliate grazing. The bacteria were cultured in the first chemostat whereas the ciliates, grazing on the bacteria from the first chemostat, were cultured in the second chemostat. Mathematical modelling was used to describe the bacteria/ciliate dynamics and some of the growth parameters were fitted. In the second chemostat 22-44% of the carbon originating from the first chemostat was mineralized to CO2. An extra biomass reduction of 12-43% was possible due to grazing by the ciliates. At lower growth rates of the ciliates the extra biomass reduction was higher than at high growth rates. This finding is auspicious, suggesting that predator organisms indeed can reduce sludge production.
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Beste, D. J. V., J. Peters, T. Hooper, C. Avignone-Rossa, M. E. Bushell, and J. McFadden. "Compiling a Molecular Inventory for Mycobacterium bovis BCG at Two Growth Rates: Evidence for Growth Rate-Mediated Regulation of Ribosome Biosynthesis and Lipid Metabolism." Journal of Bacteriology 187, no. 5 (March 1, 2005): 1677–84. http://dx.doi.org/10.1128/jb.187.5.1677-1684.2005.

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ABSTRACT An experimental system of Mycobacterium tuberculosis growth in a carbon-limited chemostat has been established by the use of Mycobacterium bovis BCG as a model organism. For this model, carbon-limited chemostats with low concentrations of glycerol were used to simulate possible growth rates during different stages of tuberculosis. A doubling time of 23 h (D = 0.03 h−1) was adopted to represent cells during the acute phase of infection, whereas a lower dilution rate equivalent to a doubling time of 69 h (D = 0.01 h−1) was used to model mycobacterial persistence. This chemostat model allowed the specific response of the mycobacterial cell to carbon limitation at different growth rates to be elucidated. The macromolecular (RNA, DNA, carbohydrate, and lipid) and elemental (C, H, and N) compositions of the biomass were determined for steady-state cultures, revealing that carbohydrates and lipids comprised more than half of the dry mass of the BCG cell, with only a quarter of the dry weight consisting of protein and RNA. Consistent with studies of other bacteria, the specific growth rate impacts on the macromolecular content of BCG and the proportions of lipid, RNA, and protein increased significantly with the growth rate. The correlation of RNA content with the growth rate indicates that ribosome production in carbon-limited M. bovis BCG cells is subject to growth rate-dependent control. The results also clearly show that the proportion of lipids in the mycobacterial cell is very sensitive to changes in the growth rate, probably reflecting changes in the amounts of storage lipids. Finally, this study demonstrates the utility of the chemostat model of mycobacterial growth for functional genomic, physiology, and systems biology studies.
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Wong, A. D., and C. D. Goldsmith. "The Impact of a Chemostat Discharge Containing Oil Degrading Bacteria on the Biological Kinetics of a Refinery Activated Sludge Process." Water Science and Technology 20, no. 11-12 (November 1, 1988): 131–36. http://dx.doi.org/10.2166/wst.1988.0276.

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The effect of discharging specific oil degrading bacteria from a chemostat to a refinery activated sludge process was determined biokinetically. Plant data for the kinetic evaluation of the waste treatment plant was collected before and during treatment. During treatment, the 500 gallon chemostatic growth chamber was operated on an eight hour hydraulic retention time, at a neutral pH, and was fed a mixture of refinery wastewater and simple sugars. The biokinetic constants k (days−1), Ks (mg/L), and K (L/mg-day) were determined before and after treatment by Monod and Lineweaver-Burk plots. Solids discharged and effluent organic concentrations were also evaluated against the mean cell retention time (MCRT). The maximum utilization rate, k, was found to increase from 0.47 to 0.95 days−1 during the operation of the chemostat. Subsequently, Ks increased from 141 to 556 mg/L. Effluent solids were shown to increase slightly with treatment. However, this was acceptable due to the polishing pond and the benefit of increased ability to accept shock loads of oily wastewater. The reason for the increased suspended solids in the effluent was most likely due to the continual addition of bacteria in exponential growth that were capable of responding to excess substrate. The effect of the chemostatic addition of specific microbial inocula to the refinery waste treatment plant has been to improve the overall organic removal capacity along with subsequent gains in plant stability.
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Zhao, Dianli, Sanling Yuan, and Haidong Liu. "Stochastic dynamics of the delayed chemostat with Lévy noises." International Journal of Biomathematics 12, no. 05 (July 2019): 1950056. http://dx.doi.org/10.1142/s1793524519500566.

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This paper formulates and studies a delayed chemostat with Lévy noises. Existence of the globally positive solution is proved first by establishing suitable Lyapunov functions, and a further result on exact Lyapunov exponent shows the growth of the total concentration in the chemostat. Then, we prove existence of the uniquely ergodic stationary distribution for a subsystem of the nutrient, based on this, a unique threshold is identified, which completely determines persistence or not of the microorganism in the chemostat. Besides, recurrence is studied under special conditions in case that the microorganism persists. Results indicate that all the noises have negative effects on persistence of the microorganism, and the time delay has almost no effects on the sample Lyapunov exponent and the threshold value of the chemostat.
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McDonald, Ian J., Teena Walker, Byron F. Johnson, Antonio J. Aveledo, and C. Stan Tsai. "Effects of ethanol and acetate on glucose-limited chemostat cultures of Schizosaccharomyces pombe, a fission yeast." Canadian Journal of Microbiology 33, no. 7 (July 1, 1987): 598–601. http://dx.doi.org/10.1139/m87-104.

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Glucose-limited chemostat cultures of Schizosaccharomyces pombe were studied to assess metabolic changes induced by the presence of ethanol and acetate. Both ethanol and acetate were utilized by the chemostat cultures. Ethanol increased the maintenance rate of glucose assimilation. Acetate reduced the maintenance rate of glucose consumption and cell counts without significantly affecting the glucose requirements for growth and cell yield. Ethanol accumulation in the chemostat cultures was facilitated by high dilution rates and noninhibitory concentrations of acetate.
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MacNicol, Jennifer L., Simone Renwick, Caroline M. Ganobis, Emma Allen-Vercoe, Jeffery Scott Weese, and Wendy Pearson. "A Comparison of Methods to Maintain the Equine Cecal Microbial Environment In Vitro Utilizing Cecal and Fecal Material." Animals 12, no. 15 (August 8, 2022): 2009. http://dx.doi.org/10.3390/ani12152009.

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The equine gastrointestinal (GI) microbiota is intimately related to the horse. The objective of the current study was to evaluate the microbiome and metabolome of cecal inoculum maintained in an anaerobic chamber or chemostat batch fermenter, as well as the fecal slurry maintained in an anaerobic chamber over 48 h. Cecal and fecal content were collected from healthy adult horses immediately upon death. Cecal fluid was used to inoculate chemostat vessels (chemostat cecal, n = 11) and vessels containing cecal fluid (anaerobic cecal, n = 15) or 5% fecal slurry (anaerobic fecal, n = 6) were maintained in an anaerobic chamber. Sampling for microbiome and metabolome analysis was performed at vessel establishment (0 h), and after 24 h and 48 h of fermentation. Illumina sequencing was performed, and metabolites were identified via nuclear magnetic resonance (NMR). Alpha and beta diversity indices, as well as individual metabolite concentrations and metabolite regression equations, were analyzed and compared between groups and over time. No differences were evident between alpha or beta diversity in cecal fluid maintained in either an anaerobic chamber or chemostat. The microbiome of the fecal inoculum maintained anaerobically shifted over 48 h and was not comparable to that of the cecal inoculum. Metabolite concentrations were consistently highest in chemostat vessels and lowest in anaerobic fecal vessels. Interestingly, the rate of metabolite change in anaerobic cecal and chemostat cecal vessels was comparable. In conclusion, maintaining an equine cecal inoculum in either an anaerobic chamber or chemostat vessel for 48 h is comparable in terms of the microbiome. However, the microbiome and metabolome of fecal material is not comparable with a cecal inoculum. Future research is required to better understand the factors that influence the level of microbial activity in vitro, particularly when microbiome data identify analogous communities.
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Dissertations / Theses on the topic "Chemostat"

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Arkin, Sinan Sadi. "Microbial evolution in the chemostat." Thesis, Imperial College London, 2010. http://hdl.handle.net/10044/1/11305.

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Toth, Damon. "Analysis of age-structured chemostat models /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/6780.

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Robledo, Gonzalo. "Quelques résultats sur la commande du chemostat." Phd thesis, Université de Nice Sophia-Antipolis, 2006. http://tel.archives-ouvertes.fr/tel-00069800.

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Cette thèse s'attache à la commande de certains systèmes écologiques en chemostat (appareil de culture de micro--organismes en laboratoire). Nous commençons par un aperçu des modèles de compétition et de chaîne trophique dans le chemostat ainsi qu'un rappel des concepts basiques de la théorie de la commande adaptée aux équations du chemostat. Ceci nous permet de montrer quelques applications pratiques et aussi de mettre en évidence la complexité mathématique de la commande.

La première partie considère la commande robuste d'un chemostat simple qui présente des imprécisions déterministes tant dans le modèle que dans la sortie, ainsi que des retards dans la sortie. Nous construisons une famille de boucles de rétroaction qui stabilise le modèle dans un polytope déterminé
par la grandeur des imprécisions. Cette famille stabilise aussi la sortie autour d'une consigne en présence des retards, mais en l'absence d'imprécision
sur le modèle et la sortie.

La deuxième partie considère la commande en boucle
fermée d'un modèle de compétition entre espèces
qui permet la coexistence de celles--ci. Nous généralisons un résultat proposé par P. De Leenher et H.Smith dans deux directions: considération de fonctions de croissance plus générales et prise en compte de la mortalité des espèces.

La troisième partie considère la commande en boucle ouverte d'une chaîne trophique dans un chemostat. Nous présentons une méthode de réduction de dimension qui permet de caractériser l'ensemble d'atteignabilité du système et d'obtenir un
résultat sur la commandabilité partielle de la chaîne.
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Thörngren, Sebastian. "An Multivariable Approach for the Chemostat Model." Thesis, Linnéuniversitetet, Institutionen för matematik (MA), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-48654.

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We use a multivariable approach to study the Chemostat model for a food chain. Using a Lyapunov function we reduce the system to a two-dimensional system.We then find isoclines and equilibrium points using a change of variables and the implicit function theorem.It turn out to be three equilibriums, namely the extinction equilibrium, caring capacity equilibrium and the implicit representation of an isocline where all solutions for the interior equilibrium is expressed.
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El, Moustaid Fadoua. "MATHEMATICAL MODELING OF CYANOBACTERIAL DYNAMICS IN A CHEMOSTAT." Master's thesis, Temple University Libraries, 2015. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/335727.

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Mathematics
M.S.
We present a mathematical model that describes how cyanobacterial communities use natural light as a source of energy and water as a source of electrons to perform photosynthesis and therefore, grow and co-survive together with other bacterial species. We apply our model to a phototrophic population of bacteria, namely, cyanobacteria. Our model involves the use of light as a source of energy and inorganic carbon as a source of nutrients. First, we study a single species model involving only cyanobacteria, then we include heterotrophs in the two species model. The model consists of ordinary differential equations describing bacteria and chemicals evolution in time. Stability analysis results show that adding heterotrophs to a population of cyanobacteria increases the level of inorganic carbon in the medium, which in turns allows cyanobacteria to perform more photosynthesis. This increase of cyanobacterial biomass agrees with experimental data obtained by collaborators at the Center for Biofilm Engineering at Montana State University.
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Arino, Julien. "Modélisation structurée de la croissance du phytoplancton en chemostat." Phd thesis, Université Joseph Fourier (Grenoble), 2001. http://tel.archives-ouvertes.fr/tel-00002006.

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L'objet de cette thèse est la formulation et l'étude de modèles structurés de croissance dans un chemostat, qui est un appareil permettant la culture de micro-organismes dans des conditions très contrôlées. Plus particulièrement, nous serons intéressés par la description de la taille d'organismes phytoplanctoniques. Dans une première partie, nous donnons quelques précisions biologiques, présentons ensuite le dispositif expérimental, puis introduisons les modèles élémentaires utilisés pour la description mathématique du chemostat. La deuxième et principale partie de cette thèse commence par une introduction aux modèles structurés de populations, l'accent étant mis sur la description des populations cellulaires. Ensuite sont étudiés successivement des modèles discrets en temps détaillant de manière précise la division cellulaire, des modèles en équations différentielles ordinaires vérifiant la propriété dite de conservation de la matière, et enfin une classe de modèles ne vérifiant pas cette propriété. Nous terminons cette thèse par une ouverture sur les possibles applications à d'autres contextes du type de modélisation que nous développons.
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Daoussis, Spiro. "Complicated dynamics of a three species chemostat food chain." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ30081.pdf.

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Palmer, John. "Chemostat growth studies and bioenergetic aspects of Methanosarcina barkeri." Thesis, University of Kent, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.279877.

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McIntyre, James John Miller. "Physiological studies of vancomycin production in continuous reactors." Thesis, University of Kent, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360971.

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Lee, Lucy Joanna. "The response of chemostat-cultured Escherichia coli to zinc stress." Thesis, University of Sheffield, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.434956.

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Books on the topic "Chemostat"

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Harmand, Jérôme, Claude Lobry, Alain Rapaport, and Tewfik Sari. The Chemostat. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119437215.

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M, Kantere V., and Navashin S. M, eds. Optimizat͡sii͡a periodicheskikh prot͡sessov mikrobiologicheskogo sinteza. Moskva: "Nauka", 1985.

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Ajbar, Abdelhamid. Dynamics of the chemostat: A bifurcation theory approach. Boca Raton, FL: CRC Press/Chapman & Hall, 2012.

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(Khalid), Alhumaizi K., ed. Dynamics of the chemostat: A bifurcation theory approach. Boca Raton, FL: CRC Press/Chapman & Hall, 2012.

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Smith, Hal L. The theory of the chemostat: Dynamics of microbial competition. Cambridge: Cambridge University Press, 1995.

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E, Waltman Paul, ed. The theory of the chemostat: Dynamics of microbial competition. Cambridge: Cambridge University Press, 1995.

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Hendzel, L. L. A dual-chamber chemostat for the study of algal interactions. Winnipeg, Man: Central and Arctic Region, Dept. of Fisheries and Oceans, 1986.

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T, Wimpenny J. W., ed. CRC handbook of laboratory model systems for microbial ecosystems. Boca Raton, Fla: CRC Press, 1988.

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Rao, Vadrevu Sree Hari. Dynamic models and control of biological systems. Dordrecht: Springer, 2009.

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Lobry, Claude, Jérôme Harmand, Alain Rapaport, and Tewfik Sari. Chemostat: Mathematical Theory of Microorganism Cultures. Wiley & Sons, Incorporated, John, 2017.

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Book chapters on the topic "Chemostat"

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Han, Xiaoying, and Peter E. Kloeden. "Chemostat." In Random Ordinary Differential Equations and Their Numerical Solution, 193–203. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6265-0_16.

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Gooch, Jan W. "Chemostat." In Encyclopedic Dictionary of Polymers, 881. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_13371.

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Sinclair, C. G., B. Kristiansen, and J. D. Bu’Lock. "Der Chemostat mit Recycling." In Fermentationsprozesse, 61–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77914-5_8.

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Rao, Vadrevu Sree Hari, and Ponnada Raja Sekhara Rao. "Chemostat Versus the Lake." In Dynamic Models and Control of Biological Systems, 27–92. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-0359-4_2.

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Karafyllis, Iasson, and Miroslav Krstic. "Application to the Chemostat." In Predictor Feedback for Delay Systems: Implementations and Approximations, 213–26. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-42378-4_6.

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Chou, Ching-Shan, and Avner Friedman. "Bacterial Growth in Chemostat." In Springer Undergraduate Texts in Mathematics and Technology, 3–27. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29638-8_2.

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Chou, Ching-Shan, and Avner Friedman. "The Chemostat Model Revisited." In Springer Undergraduate Texts in Mathematics and Technology, 87–95. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29638-8_8.

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Thierie, Jacques. "Continuous Culture: The Chemostat." In Introduction to Polyphasic Dispersed Systems Theory, 47–174. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27853-7_3.

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Caraballo, Tomás, Xiaoying Han, Peter E. Kloeden, and Alain Rapaport. "Dynamics of Nonautonomous Chemostat Models." In Studies in Systems, Decision and Control, 103–20. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19075-4_6.

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Rothhaupt, Karl O. "Critical Consideration of Chemostat Experiments." In Ecological Studies, 217–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77804-9_17.

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Conference papers on the topic "Chemostat"

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Benyahia, Boumediene, Fabien Campillo, Brahim Cherki, and Jerome Harmand. "Particle filtering for the chemostat." In 2012 20th Mediterranean Conference on Control & Automation (MED 2012). IEEE, 2012. http://dx.doi.org/10.1109/med.2012.6265665.

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ALMOCERA, LORNA S., and POLLY W. SY. "HOPF BIFURCATION IN A CHEMOSTAT-RELATED MODEL." In Third Asian Mathematical Conference 2000. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812777461_0003.

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Dinh, Marc, and Vincent Fromion. "A RBA model for the chemostat modeling." In 2019 IEEE 58th Conference on Decision and Control (CDC). IEEE, 2019. http://dx.doi.org/10.1109/cdc40024.2019.9029309.

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Yang, Kunyi. "Improved oral chemostat model and its Lyapunov stability." In 2013 25th Chinese Control and Decision Conference (CCDC). IEEE, 2013. http://dx.doi.org/10.1109/ccdc.2013.6561730.

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Dekhici, Benaissa, Boumediene Benyahiya, and Brahim Cherki. "Forecast of chemostat dynamics using data-driven approach." In 2021 International Conference on Control, Automation and Diagnosis (ICCAD). IEEE, 2021. http://dx.doi.org/10.1109/iccad52417.2021.9638749.

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Tani, Fatima-Zahra, Alain Rapaport, and Terence Bayen. "A hybrid control against species invasion in the chemostat." In 2019 IEEE 58th Conference on Decision and Control (CDC). IEEE, 2019. http://dx.doi.org/10.1109/cdc40024.2019.9029692.

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Karafyllis, Iasson, Michael Malisoff, and Miroslav Krstic. "Sampled-data feedback stabilization of age-structured chemostat models." In 2015 American Control Conference (ACC). IEEE, 2015. http://dx.doi.org/10.1109/acc.2015.7172045.

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Mazenc, Frederic, Jerome Harmand, and Michael Malisoff. "Stabilization in a chemostat with sampled and delayed measurements." In 2016 American Control Conference (ACC). IEEE, 2016. http://dx.doi.org/10.1109/acc.2016.7525189.

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Mailleret, L., J. L. Gouze, and O. Bernard. "Nonlinear control for algae growth models in the chemostat." In 2003 European Control Conference (ECC). IEEE, 2003. http://dx.doi.org/10.23919/ecc.2003.7085348.

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Gouze, Jean-Luc, and Gonzalo Robledo. "Feedback control for competition models with mortality in the chemostat." In Proceedings of the 45th IEEE Conference on Decision and Control. IEEE, 2006. http://dx.doi.org/10.1109/cdc.2006.377666.

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Reports on the topic "Chemostat"

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Dimitrova, Neli, and Mikhail Krastanov. On Practice-oriented Stabilizability of a Chemostat Model via Bounded Open-loop Control. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, July 2019. http://dx.doi.org/10.7546/crabs.2019.07.04.

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Faybishenko, Boris, Fred Molz, and Deborah Agarwal. A broad exploration of nonlinear dynamics in microbial systems motivated by chemostat experiments producing deterministic chaos. Office of Scientific and Technical Information (OSTI), August 2019. http://dx.doi.org/10.2172/1559245.

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Hickey, R. Early-warning process/control for anaerobic digestion and biological nitrogen transformation processes: Batch, semi-continuous, and/or chemostat experiments. Final report. Office of Scientific and Technical Information (OSTI), September 1992. http://dx.doi.org/10.2172/10183440.

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Chemostrat analysis of cuttings from the Pennzoil Co. Starichkof State #1 (6350'-7500') and the Starichkof State Unit #1 (6900'-7370'). Alaska Division of Geological & Geophysical Surveys, July 2007. http://dx.doi.org/10.14509/19551.

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