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171016s2017 enka ob 001 0 eng d |
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|a N$T
|b eng
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|d EBLCP
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|d IDEBK
|d OPELS
|d OCLCF
|d TEFOD
|d YDX
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|d CDN
|d OCLCQ
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|a 9780081011669
|q (electronic bk.)
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|a 0081011660
|q (electronic bk.)
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|z 9781785481161
|q (hardback)
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|a (OCoLC)1006380889
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|a TP248.25.B55
|b M67 2017eb
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|a SCI
|x 013060
|2 bisacsh
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|a TEC
|x 009010
|2 bisacsh
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|a 660.6
|2 23
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|a Morchain, J�er�ome,
|e author.
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|a Bioreactor modeling :
|b interactions between hydrodynamics and biology /
|c J�er�ome Morchain.
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|a London :
|b ISTE Press,
|c 2017.
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|a 1 online resource
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Online resource; title from PDF title page (Ebsco, viewed October 23, 2017).
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|a Includes bibliographical references and index.
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|a Preface -- 1. Tools for Bioreactor Modeling and Simulation -- 1.1. Introduction -- 1.2. Process engineering approach -- 1.3. Multiphase fluid mechanics approach -- 2. Mixing and Bioreactions -- 2.1. Introduction -- 2.2. Mixing and reactions -- 2.3. Interaction between mixing and bioreaction -- 2.4. Analysis and modeling of couplings between mixing and bioreaction -- 2.5. Conclusion -- 3. Assimilation, Transfer, Equilibrium -- 3.1. Introduction
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|a 3.2. Transfers between phases -- 3.3. Equilibrium or dynamic responses: experimental illustrations -- 3.4. Equilibrium models, dynamic models -- 3.5. Confrontation of models with experimental data -- 3.6. Problem of coupling between a biological model and hydrodynamic model -- 3.7. Conclusion -- 4. Biological Population Balance -- 4.1. Introduction -- 4.2. General population balance equation -- 4.3. Illustrative examples
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|a Dynamic simulation of bioreactors is a challenge for both the industrial and academic worlds. Beyond the large number of physical and biological phenomena to be considered and the wide range of scales involved, the central difficulty lies in the need to account for the dynamic behavior of suspended microorganisms. In the case of chemical reactors, knowledge of the thermodynamic equilibrium laws at the interfaces makes it possible to produce macroscopic models by integrating local laws. Microorganisms, on the other hand, have the ability to modulate the rate of substrate assimilation. Moreover, the nature of the biochemical transformations results from a compromise between the needs of the cell and the available resources. This book revisits the modeling of bioreactors using a multi-scale approach. It addresses issues related to mixing, phase-to-phase transfers and the adaptation of microorganisms to variations in concentration, and explores the use of population balances for the simulation of bioreactors. By adopting a multidisciplinary perspective that draws on process engineering, fluid mechanics and microbiology, this book sheds new light on the particularity of bioprocesses in relation to physical and chemical phenomena.
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650 |
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|a Bioreactors.
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650 |
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|a Bioreactors
|x Mathematical models.
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650 |
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2 |
|a Bioreactors
|0 (DNLM)D019149
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650 |
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6 |
|a Bior�eacteurs.
|0 (CaQQLa)201-0173692
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650 |
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6 |
|a Bior�eacteurs
|0 (CaQQLa)201-0173692
|x Mod�eles math�ematiques.
|0 (CaQQLa)201-0379082
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650 |
|
7 |
|a SCIENCE
|x Chemistry
|x Industrial & Technical.
|2 bisacsh
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650 |
|
7 |
|a TECHNOLOGY & ENGINEERING
|x Chemical & Biochemical.
|2 bisacsh
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650 |
|
7 |
|a Bioreactors
|2 fast
|0 (OCoLC)fst00832686
|
650 |
|
7 |
|a Bioreactors
|x Mathematical models
|2 fast
|0 (OCoLC)fst00832692
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776 |
0 |
8 |
|i Print version:
|a Morchain, J�er�ome.
|t Bioreactor modeling.
|d London : ISTE Press Ltd ; Kidlington, Oxford : Elsevier Ltd, 2017
|z 1785481169
|w (OCoLC)1031270756
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9781785481161
|z Texto completo
|