Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing

Biopharmaceutical and pharmaceutical manufacturing are strongly influenced by the process analytical technology initiative (PAT) and quality by design (QbD) methodologies, which are designed to enhance the understanding of more integrated processes. The major aim of this effort can be summarized as...

Full description

Saved in:
Bibliographic Details
HerausgeberIn:
Sonstige:
Year of Publication:2022
Language:English
Physical Description:1 electronic resource (226 p.)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 993560439404498
ctrlnum (CKB)5680000000080798
(oapen)https://directory.doabooks.org/handle/20.500.12854/92142
(EXLCZ)995680000000080798
collection bib_alma
record_format marc
spelling Pörtner, Ralf edt
Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing
Basel MDPI Books 2022
1 electronic resource (226 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Open access Unrestricted online access star
Biopharmaceutical and pharmaceutical manufacturing are strongly influenced by the process analytical technology initiative (PAT) and quality by design (QbD) methodologies, which are designed to enhance the understanding of more integrated processes. The major aim of this effort can be summarized as developing a mechanistic understanding of a wide range of process steps, including the development of technologies to perform online measurements and real-time control and optimization. Furthermore, minimization of the number of empirical experiments and the model-assisted exploration of the process design space are targeted. Even if tremendous progress has been achieved so far, there is still work to be carried out in order to realize the full potential of the process systems engineering toolbox. Within this reprint, an overview of cutting-edge developments of process systems engineering for biopharmaceutical and pharmaceutical manufacturing processes is given, including model-based process design, Digital Twins, computer-aided process understanding, process development and optimization, and monitoring and control of bioprocesses. The biopharmaceutical processes addressed focus on the manufacturing of biopharmaceuticals, mainly by Chinese hamster ovary (CHO) cells, as well as adeno-associated virus production and generation of cell spheroids for cell therapies.
English
Technology: general issues bicssc
History of engineering & technology bicssc
clonal cell population
phenotypic diversity
inoculum train
uncertainty-based
cell culture model
biopharmaceutical manufacturing
Escherichia coli
hybrid modeling
machine learning
model-assisted DoE
quality by design
upstream bioprocessing
surface plasmon resonance (SPR)
bioprocess
monitoring
biosensor
quality by design (QbD)
process analytical technology (PAT)
biotherapeutics production
vaccines production
CHO DP-12
computational fluid dynamics
bioreactor characterization
hydrodynamic gradients
process development
critical shear stress
Kolmogorov length scale
operational space
sensors
cell culture
spectroscopy
PAT
smart biomanufacturing
soft-sensor
Adeno-associated virus
transfection
PEI
continuous
gene therapy
microcarriers
bioreactor
transient expression
spheroid strength
β-cells
diabetes
shear stress-guided production
hydrodynamic stress
Gaussian processes
Bayes optimization
Pareto optimization
multi-objective
seed train
Chinese hamster ovary cells
cryopreservation
monoclonal antibodies
N−1 perfusion
process intensification
upstream processing
3-0365-5210-3
3-0365-5209-X
Möller, Johannes edt
Pörtner, Ralf oth
Möller, Johannes oth
language English
format eBook
author2 Möller, Johannes
Pörtner, Ralf
Möller, Johannes
author_facet Möller, Johannes
Pörtner, Ralf
Möller, Johannes
author2_variant r p rp
j m jm
author2_role HerausgeberIn
Sonstige
Sonstige
title Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing
spellingShingle Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing
title_full Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing
title_fullStr Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing
title_full_unstemmed Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing
title_auth Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing
title_new Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing
title_sort bioprocess systems engineering applications in pharmaceutical manufacturing
publisher MDPI Books
publishDate 2022
physical 1 electronic resource (226 p.)
isbn 3-0365-5210-3
3-0365-5209-X
illustrated Not Illustrated
work_keys_str_mv AT portnerralf bioprocesssystemsengineeringapplicationsinpharmaceuticalmanufacturing
AT mollerjohannes bioprocesssystemsengineeringapplicationsinpharmaceuticalmanufacturing
status_str n
ids_txt_mv (CKB)5680000000080798
(oapen)https://directory.doabooks.org/handle/20.500.12854/92142
(EXLCZ)995680000000080798
carrierType_str_mv cr
is_hierarchy_title Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing
author2_original_writing_str_mv noLinkedField
noLinkedField
noLinkedField
_version_ 1802794074189594624
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04493nam-a2201033z--4500</leader><controlfield tag="001">993560439404498</controlfield><controlfield tag="005">20240624211541.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202209s2022 xx |||||o ||| 0|eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5680000000080798</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/92142</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995680000000080798</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Pörtner, Ralf</subfield><subfield code="4">edt</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Basel</subfield><subfield code="b">MDPI Books</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (226 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="506" ind1=" " ind2=" "><subfield code="a">Open access</subfield><subfield code="f">Unrestricted online access</subfield><subfield code="2">star</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Biopharmaceutical and pharmaceutical manufacturing are strongly influenced by the process analytical technology initiative (PAT) and quality by design (QbD) methodologies, which are designed to enhance the understanding of more integrated processes. The major aim of this effort can be summarized as developing a mechanistic understanding of a wide range of process steps, including the development of technologies to perform online measurements and real-time control and optimization. Furthermore, minimization of the number of empirical experiments and the model-assisted exploration of the process design space are targeted. Even if tremendous progress has been achieved so far, there is still work to be carried out in order to realize the full potential of the process systems engineering toolbox. Within this reprint, an overview of cutting-edge developments of process systems engineering for biopharmaceutical and pharmaceutical manufacturing processes is given, including model-based process design, Digital Twins, computer-aided process understanding, process development and optimization, and monitoring and control of bioprocesses. The biopharmaceutical processes addressed focus on the manufacturing of biopharmaceuticals, mainly by Chinese hamster ovary (CHO) cells, as well as adeno-associated virus production and generation of cell spheroids for cell therapies.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Technology: general issues</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">History of engineering &amp; technology</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">clonal cell population</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">phenotypic diversity</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">inoculum train</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">uncertainty-based</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cell culture model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">biopharmaceutical manufacturing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Escherichia coli</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hybrid modeling</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">machine learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">model-assisted DoE</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">quality by design</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">upstream bioprocessing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">surface plasmon resonance (SPR)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">bioprocess</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">monitoring</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">biosensor</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">quality by design (QbD)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">process analytical technology (PAT)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">biotherapeutics production</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">vaccines production</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">CHO DP-12</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">computational fluid dynamics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">bioreactor characterization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hydrodynamic gradients</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">process development</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">critical shear stress</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Kolmogorov length scale</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">operational space</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">sensors</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cell culture</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">spectroscopy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">PAT</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">smart biomanufacturing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">soft-sensor</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Adeno-associated virus</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">transfection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">PEI</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">continuous</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">gene therapy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">microcarriers</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">bioreactor</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">transient expression</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">spheroid strength</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">β-cells</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">diabetes</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">shear stress-guided production</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hydrodynamic stress</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Gaussian processes</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Bayes optimization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Pareto optimization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">multi-objective</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">seed train</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Chinese hamster ovary cells</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cryopreservation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">monoclonal antibodies</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">N−1 perfusion</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">process intensification</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">upstream processing</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-5210-3</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-5209-X</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Möller, Johannes</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pörtner, Ralf</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Möller, Johannes</subfield><subfield code="4">oth</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2024-06-25 01:19:05 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2022-09-22 08:09:39 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&amp;portfolio_pid=5340301290004498&amp;Force_direct=true</subfield><subfield code="Z">5340301290004498</subfield><subfield code="b">Available</subfield><subfield code="8">5340301290004498</subfield></datafield></record></collection>