---
_id: '13475'
abstract:
- lang: eng
text: In the context of data-driven bioprocess modeling, selecting appropriate regression
models remains a critical challenge. This is especially the case when dealing
with time-dependent process dynamics and complex measurement data. The practical
relevance of this study lies in its critical assessment of the application constraints
associated with multivariate linear regression models in bioprocess monitoring
of cell culture processes. The applicability of Partial Least Squares and Ridge
regression was evaluated for different cultivation phases. The results emphasize
that no single linear modeling approach is universally suitable for capturing
the complex behavior of mammalian cell cultures. This is why we present an enhanced
segmented modeling approach by learning the optimal transition point from data
and introducing a gradual model switch, allowing for smoother and more robust
adaptation to process dynamics. This segmented model led to improved predictive
performance compared to single-model regression across the entire process duration.
Nevertheless, the heterogeneity of the 11 mammalian cell culture datasets used
in this study posed significant challenges, with the best-performing models achieving
prediction error of around 0.31 of the average offline viable cell density. These
results underline the potential of phase-adaptive modeling, while also emphasizing
the need for further optimization to robustly handle diverse bioprocess conditions.
author:
- first_name: Selina
full_name: Uhlendorff, Selina
id: '68713'
last_name: Uhlendorff
orcid: https://orcid.org/0000-0002-0502-8032
- first_name: Tatsiana
full_name: Burankova, Tatsiana
last_name: Burankova
- first_name: Katharina
full_name: Dahlmann, Katharina
last_name: Dahlmann
- first_name: Björn
full_name: Frahm, Björn
id: '45666'
last_name: Frahm
- first_name: Miriam
full_name: Pein-Hackelbusch, Miriam
id: '64952'
last_name: Pein-Hackelbusch
orcid: 0000-0002-7920-0595
citation:
ama: Uhlendorff S, Burankova T, Dahlmann K, Frahm B, Pein-Hackelbusch M. Application
Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy
in Inline Bioreactor Viable Cell Analysis. IEEE; 2026:34-39. doi:10.1109/iwis69004.2025.11339388
apa: Uhlendorff, S., Burankova, T., Dahlmann, K., Frahm, B., & Pein-Hackelbusch,
M. (2026). Application Constraints of Linear Multivariate Regression Models for
Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis. In 2025
International Workshop on Impedance Spectroscopy (IWIS) (pp. 34–39). IEEE.
https://doi.org/10.1109/iwis69004.2025.11339388
bjps: 'Uhlendorff S et al. (2026) Application Constraints of Linear
Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor
Viable Cell Analysis. New York: IEEE.'
chicago: 'Uhlendorff, Selina, Tatsiana Burankova, Katharina Dahlmann, Björn Frahm,
and Miriam Pein-Hackelbusch. Application Constraints of Linear Multivariate
Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell
Analysis. 2025 International Workshop on Impedance Spectroscopy (IWIS).
New York: IEEE, 2026. https://doi.org/10.1109/iwis69004.2025.11339388.'
chicago-de: 'Uhlendorff, Selina, Tatsiana Burankova, Katharina Dahlmann, Björn Frahm
und Miriam Pein-Hackelbusch. 2026. Application Constraints of Linear Multivariate
Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell
Analysis. 2025 International Workshop on Impedance Spectroscopy (IWIS).
New York: IEEE. doi:10.1109/iwis69004.2025.11339388,
.'
din1505-2-1: 'Uhlendorff, Selina ;
Burankova, Tatsiana ; Dahlmann,
Katharina ; Frahm, Björn
; Pein-Hackelbusch, Miriam: Application
Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy
in Inline Bioreactor Viable Cell Analysis. New York : IEEE, 2026'
havard: S. Uhlendorff, T. Burankova, K. Dahlmann, B. Frahm, M. Pein-Hackelbusch,
Application Constraints of Linear Multivariate Regression Models for Dielectric
Spectroscopy in Inline Bioreactor Viable Cell Analysis, IEEE, New York, 2026.
ieee: 'S. Uhlendorff, T. Burankova, K. Dahlmann, B. Frahm, and M. Pein-Hackelbusch,
Application Constraints of Linear Multivariate Regression Models for Dielectric
Spectroscopy in Inline Bioreactor Viable Cell Analysis. New York: IEEE, 2026,
pp. 34–39. doi: 10.1109/iwis69004.2025.11339388.'
mla: Uhlendorff, Selina, et al. “Application Constraints of Linear Multivariate
Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell
Analysis.” 2025 International Workshop on Impedance Spectroscopy (IWIS),
IEEE, 2026, pp. 34–39, https://doi.org/10.1109/iwis69004.2025.11339388.
short: S. Uhlendorff, T. Burankova, K. Dahlmann, B. Frahm, M. Pein-Hackelbusch,
Application Constraints of Linear Multivariate Regression Models for Dielectric
Spectroscopy in Inline Bioreactor Viable Cell Analysis, IEEE, New York, 2026.
ufg: 'Uhlendorff, Selina u. a.: Application Constraints of Linear Multivariate
Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell
Analysis, New York 2026.'
van: 'Uhlendorff S, Burankova T, Dahlmann K, Frahm B, Pein-Hackelbusch M. Application
Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy
in Inline Bioreactor Viable Cell Analysis. 2025 International Workshop on Impedance
Spectroscopy (IWIS). New York: IEEE; 2026.'
conference:
end_date: 2025-09-26
location: Chemnitz
name: 2025 International Workshop on Impedance Spectroscopy (IWIS)
start_date: 2025-09-23
date_created: 2026-03-06T08:52:51Z
date_updated: 2026-04-08T11:28:18Z
department:
- _id: DEP4028
doi: 10.1109/iwis69004.2025.11339388
keyword:
- cell culture
- impedance spectroscopy
- partial least squares
- ridge regression
language:
- iso: eng
page: 34-39
place: New York
publication: 2025 International Workshop on Impedance Spectroscopy (IWIS)
publication_identifier:
eisbn:
- 979-8-3315-9322-3
isbn:
- 979-8-3315-9323-0
publication_status: published
publisher: IEEE
status: public
title: Application Constraints of Linear Multivariate Regression Models for Dielectric
Spectroscopy in Inline Bioreactor Viable Cell Analysis
type: conference_editor_article
user_id: '83778'
year: '2026'
...
---
_id: '13223'
author:
- first_name: Selina
full_name: Uhlendorff, Selina
id: '68713'
last_name: Uhlendorff
orcid: https://orcid.org/0000-0002-0502-8032
- first_name: Tatsiana
full_name: Burankova, Tatsiana
last_name: Burankova
- first_name: Katharina
full_name: Dahlmann, Katharina
last_name: Dahlmann
- first_name: Björn
full_name: Frahm, Björn
id: '45666'
last_name: Frahm
- first_name: Miriam
full_name: Pein-Hackelbusch, Miriam
id: '64952'
last_name: Pein-Hackelbusch
orcid: 0000-0002-7920-0595
citation:
ama: Uhlendorff S, Burankova T, Dahlmann K, Frahm B, Pein-Hackelbusch M. Application
Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy
in Inline Bioreactor Viable Cell Analysis.; 2025.
apa: Uhlendorff, S., Burankova, T., Dahlmann, K., Frahm, B., & Pein-Hackelbusch,
M. (2025). Application Constraints of Linear Multivariate Regression Models
for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis. 18th
International Workshop on Impedance Spectroscopy, Chemnitz.
bjps: Uhlendorff S et al. (2025) Application Constraints of Linear
Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor
Viable Cell Analysis. .
chicago: Uhlendorff, Selina, Tatsiana Burankova, Katharina Dahlmann, Björn Frahm,
and Miriam Pein-Hackelbusch. Application Constraints of Linear Multivariate
Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell
Analysis, 2025.
chicago-de: Uhlendorff, Selina, Tatsiana Burankova, Katharina Dahlmann, Björn Frahm
und Miriam Pein-Hackelbusch. 2025. Application Constraints of Linear Multivariate
Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell
Analysis.
din1505-2-1: 'Uhlendorff, Selina ;
Burankova, Tatsiana ; Dahlmann,
Katharina ; Frahm, Björn
; Pein-Hackelbusch, Miriam: Application
Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy
in Inline Bioreactor Viable Cell Analysis, 2025'
havard: S. Uhlendorff, T. Burankova, K. Dahlmann, B. Frahm, M. Pein-Hackelbusch,
Application Constraints of Linear Multivariate Regression Models for Dielectric
Spectroscopy in Inline Bioreactor Viable Cell Analysis, 2025.
ieee: S. Uhlendorff, T. Burankova, K. Dahlmann, B. Frahm, and M. Pein-Hackelbusch,
Application Constraints of Linear Multivariate Regression Models for Dielectric
Spectroscopy in Inline Bioreactor Viable Cell Analysis. 2025.
mla: Uhlendorff, Selina, et al. Application Constraints of Linear Multivariate
Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell
Analysis. 2025.
short: S. Uhlendorff, T. Burankova, K. Dahlmann, B. Frahm, M. Pein-Hackelbusch,
Application Constraints of Linear Multivariate Regression Models for Dielectric
Spectroscopy in Inline Bioreactor Viable Cell Analysis, 2025.
ufg: 'Uhlendorff, Selina u. a.: Application Constraints of Linear Multivariate
Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell
Analysis, o. O. 2025.'
van: Uhlendorff S, Burankova T, Dahlmann K, Frahm B, Pein-Hackelbusch M. Application
Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy
in Inline Bioreactor Viable Cell Analysis. 2025.
conference:
end_date: 2025-09-26
location: Chemnitz
name: 18th International Workshop on Impedance Spectroscopy
start_date: 2025-09-23
date_created: 2025-09-29T08:37:10Z
date_updated: 2026-03-27T16:51:16Z
department:
- _id: DEP4028
- _id: DEP4021
language:
- iso: eng
publication_status: published
related_material:
link:
- relation: confirmation
url: https://www.tu-chemnitz.de/etit/messtech/iwis/program.php
status: public
title: Application Constraints of Linear Multivariate Regression Models for Dielectric
Spectroscopy in Inline Bioreactor Viable Cell Analysis
type: conference_poster
user_id: '45666'
year: '2025'
...
---
_id: '13315'
abstract:
- lang: eng
text: Determining cell density and viability with (semi‐)automated methods enables
rapid cell cultivation analysis. However, scientific validation is required, typically
by comparing results to manual counting. To address this, we present a method
to evaluate and compare two cell counting methods exemplified by a manual and
a semi‐automated method (Countstar BioTech). Experiments followed validation parameters
aligned with the International Council for Harmonization (ICH) Q2(R1) guideline
and a dilution series design based on ISO 20391‐2:2019. Both the semi‐automated
and manual methods showed comparable specificity and linearity for Chinese hamster
ovary (CHO)‐K1 cells. The semi‐automated method exhibited superior repeatability
for total cell density, whereas cell viability results showed no significant difference.
author:
- first_name: Selina
full_name: Uhlendorff, Selina
id: '68713'
last_name: Uhlendorff
orcid: https://orcid.org/0000-0002-0502-8032
- first_name: Ulrich
full_name: Odefey, Ulrich
id: '74218'
last_name: Odefey
- first_name: Björn
full_name: Frahm, Björn
id: '45666'
last_name: Frahm
- first_name: Miriam
full_name: Pein-Hackelbusch, Miriam
id: '64952'
last_name: Pein-Hackelbusch
orcid: 0000-0002-7920-0595
citation:
ama: Uhlendorff S, Odefey U, Frahm B, Pein-Hackelbusch M. Performance Comparison
between Semi‐Automated and Manual Cell Counting for Animal Cell Culture. Chemie
Ingenieur Technik. 2025;98(1-2):57-68. doi:10.1002/cite.70048
apa: Uhlendorff, S., Odefey, U., Frahm, B., & Pein-Hackelbusch, M. (2025). Performance
Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture.
Chemie Ingenieur Technik, 98(1–2), 57–68. https://doi.org/10.1002/cite.70048
bjps: Uhlendorff S et al. (2025) Performance Comparison between Semi‐Automated
and Manual Cell Counting for Animal Cell Culture. Chemie Ingenieur Technik
98, 57–68.
chicago: 'Uhlendorff, Selina, Ulrich Odefey, Björn Frahm, and Miriam Pein-Hackelbusch.
“Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal
Cell Culture.” Chemie Ingenieur Technik 98, no. 1–2 (2025): 57–68. https://doi.org/10.1002/cite.70048.'
chicago-de: 'Uhlendorff, Selina, Ulrich Odefey, Björn Frahm und Miriam Pein-Hackelbusch.
2025. Performance Comparison between Semi‐Automated and Manual Cell Counting for
Animal Cell Culture. Chemie Ingenieur Technik 98, Nr. 1–2: 57–68. doi:10.1002/cite.70048, .'
din1505-2-1: 'Uhlendorff, Selina ;
Odefey, Ulrich ; Frahm,
Björn ; Pein-Hackelbusch, Miriam:
Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal
Cell Culture. In: Chemie Ingenieur Technik Bd. 98. Weinheim, Wiley (2025),
Nr. 1–2, S. 57–68'
havard: S. Uhlendorff, U. Odefey, B. Frahm, M. Pein-Hackelbusch, Performance Comparison
between Semi‐Automated and Manual Cell Counting for Animal Cell Culture, Chemie
Ingenieur Technik. 98 (2025) 57–68.
ieee: 'S. Uhlendorff, U. Odefey, B. Frahm, and M. Pein-Hackelbusch, “Performance
Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture,”
Chemie Ingenieur Technik, vol. 98, no. 1–2, pp. 57–68, 2025, doi: 10.1002/cite.70048.'
mla: Uhlendorff, Selina, et al. “Performance Comparison between Semi‐Automated and
Manual Cell Counting for Animal Cell Culture.” Chemie Ingenieur Technik,
vol. 98, no. 1–2, 2025, pp. 57–68, https://doi.org/10.1002/cite.70048.
short: S. Uhlendorff, U. Odefey, B. Frahm, M. Pein-Hackelbusch, Chemie Ingenieur
Technik 98 (2025) 57–68.
ufg: 'Uhlendorff, Selina u. a.: Performance Comparison between Semi‐Automated
and Manual Cell Counting for Animal Cell Culture, in: Chemie Ingenieur Technik
98 (2025), H. 1–2, S. 57–68.'
van: Uhlendorff S, Odefey U, Frahm B, Pein-Hackelbusch M. Performance Comparison
between Semi‐Automated and Manual Cell Counting for Animal Cell Culture. Chemie
Ingenieur Technik. 2025;98(1–2):57–68.
date_created: 2025-12-08T07:26:52Z
date_updated: 2026-03-27T17:14:42Z
department:
- _id: DEP4029
- _id: DEP4028
doi: 10.1002/cite.70048
intvolume: ' 98'
issue: 1-2
keyword:
- Cell density
- Cell enumeration
- Cell viability
- CHO-K1
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 57–68
place: Weinheim
publication: Chemie Ingenieur Technik
publication_identifier:
eissn:
- 1522-2640
issn:
- 0009-286X
publication_status: published
publisher: Wiley
quality_controlled: '1'
status: public
title: Performance Comparison between Semi‐Automated and Manual Cell Counting for
Animal Cell Culture
type: scientific_journal_article
user_id: '45666'
volume: 98
year: '2025'
...
---
_id: '12400'
abstract:
- lang: eng
text: Determining cell density and cell viability is fundamental for any cell cultivation
process. In addition to the manual counting method using hemocytometers, (semi-)automated
methods offer advantages such as lower variability and shortened analysis times.
However, these methods should provide at least comparable results to the manual
method, which is why a comparison of methods is essential. We conducted a dilution
series experimental design according to ISO 20391-2:2019 and compared two cell
counting methods based on validation parameters aligned with the ICH Q2(R1) guideline.
Regarding specificity and linearity, the manual (hemocytometer) and semi-automated
(Countstar BioTech®) method exhibited similar results in the two evaluated characteristics
total cell density and cell viability of CHO-K1 cells. Regarding repeatability
of determining total cell density, the semi-automated method achieved significant
(α = 0.05) better results with average relative standard deviations of < 6 %,
than the manual method with average relative standard deviations of > 9 %. Concerning
repeatability of the cell viability measurement, no significant difference between
the two methods were shown. These results show the suitabililty of the dilution
series experimental design. For the applied example, they indicate that the investigated
semi-automated method is an appropriate alternative to the manual method.
author:
- first_name: Selina
full_name: Ramm, Selina
id: '68713'
last_name: Ramm
orcid: https://orcid.org/0000-0002-0502-8032
- first_name: Ulrich
full_name: Odefey, Ulrich
id: '74218'
last_name: Odefey
- first_name: Björn
full_name: Frahm, Björn
id: '45666'
last_name: Frahm
- first_name: Miriam
full_name: Pein-Hackelbusch, Miriam
id: '64952'
last_name: Pein-Hackelbusch
orcid: 0000-0002-7920-0595
citation:
ama: 'Ramm S, Odefey U, Frahm B, Pein-Hackelbusch M. Semi-automated vs. manual:
Comparative study of cell culture counting methods using validation parameters.
Published online 2024. doi:10.1101/2024.05.30.596619'
apa: 'Ramm, S., Odefey, U., Frahm, B., & Pein-Hackelbusch, M. (2024). Semi-automated
vs. manual: Comparative study of cell culture counting methods using validation
parameters. bioRxiv. https://doi.org/10.1101/2024.05.30.596619'
bjps: 'Ramm S et al. (2024) Semi-Automated vs. Manual: Comparative
Study of Cell Culture Counting Methods Using Validation Parameters.'
chicago: 'Ramm, Selina, Ulrich Odefey, Björn Frahm, and Miriam Pein-Hackelbusch.
“Semi-Automated vs. Manual: Comparative Study of Cell Culture Counting Methods
Using Validation Parameters.” bioRxiv, 2024. https://doi.org/10.1101/2024.05.30.596619.'
chicago-de: 'Ramm, Selina, Ulrich Odefey, Björn Frahm und Miriam Pein-Hackelbusch.
2024. Semi-automated vs. manual: Comparative study of cell culture counting methods
using validation parameters. bioRxiv. doi:10.1101/2024.05.30.596619,
.'
din1505-2-1: 'Ramm, Selina ; Odefey, Ulrich ; Frahm,
Björn ; Pein-Hackelbusch, Miriam:
Semi-automated vs. manual: Comparative study of cell culture counting methods
using validation parameters, bioRxiv (2024)'
havard: 'S. Ramm, U. Odefey, B. Frahm, M. Pein-Hackelbusch, Semi-automated vs. manual:
Comparative study of cell culture counting methods using validation parameters,
(2024).'
ieee: 'S. Ramm, U. Odefey, B. Frahm, and M. Pein-Hackelbusch, “Semi-automated vs.
manual: Comparative study of cell culture counting methods using validation parameters.”
bioRxiv, 2024. doi: 10.1101/2024.05.30.596619.'
mla: 'Ramm, Selina, et al. Semi-Automated vs. Manual: Comparative Study of Cell
Culture Counting Methods Using Validation Parameters. bioRxiv, 2024, https://doi.org/10.1101/2024.05.30.596619.'
short: S. Ramm, U. Odefey, B. Frahm, M. Pein-Hackelbusch, (2024).
ufg: 'Ramm, Selina u. a.: Semi-automated vs. manual: Comparative study of
cell culture counting methods using validation parameters, o. O. 2024.'
van: 'Ramm S, Odefey U, Frahm B, Pein-Hackelbusch M. Semi-automated vs. manual:
Comparative study of cell culture counting methods using validation parameters.
bioRxiv; 2024.'
date_created: 2025-01-29T13:48:31Z
date_updated: 2025-07-29T13:23:30Z
department:
- _id: DEP4000
- _id: DEP4028
- _id: DEP4014
doi: 10.1101/2024.05.30.596619
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.biorxiv.org/content/10.1101/2024.05.30.596619v1
oa: '1'
publication_status: published
publisher: bioRxiv
status: public
title: 'Semi-automated vs. manual: Comparative study of cell culture counting methods
using validation parameters'
type: preprint
user_id: '83781'
year: '2024'
...
---
_id: '11381'
author:
- first_name: Tanja
full_name: Hernández Rodriguez, Tanja
id: '52466'
last_name: Hernández Rodriguez
- first_name: Selina
full_name: Ramm, Selina
id: '68713'
last_name: Ramm
orcid: https://orcid.org/0000-0002-0502-8032
- first_name: Markus
full_name: Lange-Hegermann, Markus
id: '71761'
last_name: Lange-Hegermann
- first_name: Björn
full_name: Frahm, Björn
id: '45666'
last_name: Frahm
citation:
ama: Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. A Systematic,
Model-Based Workflow for Risk-Based Decision Making in Upstream Development.
DECHEMA e.V.
apa: Hernández Rodriguez, T., Ramm, S., Lange-Hegermann, M., & Frahm, B. (n.d.).
A systematic, model-based workflow for risk-based decision making in upstream
development. 14th European Congress of Chemical Engineering and 7th European
Congress of Applied Biotechnology, Berlin, Germany. DECHEMA e.V.
bjps: Hernández Rodriguez T et al. (n.d.) A Systematic, Model-Based
Workflow for Risk-Based Decision Making in Upstream Development. DECHEMA e.V.
chicago: Hernández Rodriguez, Tanja, Selina Ramm, Markus Lange-Hegermann, and Björn
Frahm. A Systematic, Model-Based Workflow for Risk-Based Decision Making in
Upstream Development. DECHEMA e.V., n.d.
chicago-de: Hernández Rodriguez, Tanja, Selina Ramm, Markus Lange-Hegermann und
Björn Frahm. A systematic, model-based workflow for risk-based decision making
in upstream development. DECHEMA e.V.
din1505-2-1: 'Hernández Rodriguez, Tanja
; Ramm, Selina ; Lange-Hegermann,
Markus ; Frahm, Björn: A
systematic, model-based workflow for risk-based decision making in upstream development :
DECHEMA e.V.'
havard: T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A systematic,
model-based workflow for risk-based decision making in upstream development, DECHEMA
e.V., n.d.
ieee: T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, and B. Frahm, A systematic,
model-based workflow for risk-based decision making in upstream development.
DECHEMA e.V.
mla: Hernández Rodriguez, Tanja, et al. A Systematic, Model-Based Workflow for
Risk-Based Decision Making in Upstream Development. DECHEMA e.V.
short: T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A Systematic,
Model-Based Workflow for Risk-Based Decision Making in Upstream Development, DECHEMA
e.V., n.d.
ufg: 'Hernández Rodriguez, Tanja u. a.: A systematic, model-based workflow
for risk-based decision making in upstream development, o. O. u. J. .'
van: Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. A systematic, model-based
workflow for risk-based decision making in upstream development. DECHEMA e.V.;
conference:
end_date: 2023-09-21
location: Berlin, Germany
name: 14th European Congress of Chemical Engineering and 7th European Congress of
Applied Biotechnology
start_date: 2023-09-17
date_created: 2024-04-26T06:18:20Z
date_updated: 2024-08-02T13:57:27Z
department:
- _id: DEP4000
language:
- iso: eng
publication_status: accepted
publisher: DECHEMA e.V.
status: public
title: A systematic, model-based workflow for risk-based decision making in upstream
development
type: conference_poster
user_id: '83781'
year: '2023'
...
---
_id: '11487'
author:
- first_name: Selina
full_name: Ramm, Selina
id: '68713'
last_name: Ramm
orcid: https://orcid.org/0000-0002-0502-8032
- first_name: Tanja
full_name: Hernández Rodriguez, Tanja
id: '52466'
last_name: Hernández Rodriguez
- first_name: Björn
full_name: Frahm, Björn
id: '45666'
last_name: Frahm
- first_name: Miriam
full_name: Pein-Hackelbusch, Miriam
id: '64952'
last_name: Pein-Hackelbusch
orcid: 0000-0002-7920-0595
citation:
ama: Ramm S, Hernández Rodriguez T, Frahm B, Pein-Hackelbusch M. Comparison of
Preprocessing Methods of Dielectric Spectroscopy Data and the Effects on Linear
Regression . DECHEMA e.V.
apa: Ramm, S., Hernández Rodriguez, T., Frahm, B., & Pein-Hackelbusch, M. (n.d.).
Comparison of Preprocessing Methods of Dielectric Spectroscopy Data and the
Effects on Linear Regression . 14th European Congress of Chemical Engineering
and 7th European Congress of Applied Biotechnology, Berlin, Germany. DECHEMA e.V.
bjps: Ramm S et al. (n.d.) Comparison of Preprocessing Methods
of Dielectric Spectroscopy Data and the Effects on Linear Regression . DECHEMA
e.V.
chicago: Ramm, Selina, Tanja Hernández Rodriguez, Björn Frahm, and Miriam Pein-Hackelbusch.
Comparison of Preprocessing Methods of Dielectric Spectroscopy Data and the
Effects on Linear Regression . DECHEMA e.V., n.d.
chicago-de: Ramm, Selina, Tanja Hernández Rodriguez, Björn Frahm und Miriam Pein-Hackelbusch.
Comparison of Preprocessing Methods of Dielectric Spectroscopy Data and the
Effects on Linear Regression . DECHEMA e.V.
din1505-2-1: 'Ramm, Selina ; Hernández Rodriguez, Tanja ; Frahm,
Björn ; Pein-Hackelbusch, Miriam:
Comparison of Preprocessing Methods of Dielectric Spectroscopy Data and the
Effects on Linear Regression : DECHEMA e.V.'
havard: S. Ramm, T. Hernández Rodriguez, B. Frahm, M. Pein-Hackelbusch, Comparison
of Preprocessing Methods of Dielectric Spectroscopy Data and the Effects on Linear
Regression , DECHEMA e.V., n.d.
ieee: S. Ramm, T. Hernández Rodriguez, B. Frahm, and M. Pein-Hackelbusch, Comparison
of Preprocessing Methods of Dielectric Spectroscopy Data and the Effects on Linear
Regression . DECHEMA e.V.
mla: Ramm, Selina, et al. Comparison of Preprocessing Methods of Dielectric Spectroscopy
Data and the Effects on Linear Regression . DECHEMA e.V.
short: S. Ramm, T. Hernández Rodriguez, B. Frahm, M. Pein-Hackelbusch, Comparison
of Preprocessing Methods of Dielectric Spectroscopy Data and the Effects on Linear
Regression , DECHEMA e.V., n.d.
ufg: 'Ramm, Selina u. a.: Comparison of Preprocessing Methods of Dielectric
Spectroscopy Data and the Effects on Linear Regression , o. O. u. J. .'
van: Ramm S, Hernández Rodriguez T, Frahm B, Pein-Hackelbusch M. Comparison of Preprocessing
Methods of Dielectric Spectroscopy Data and the Effects on Linear Regression
. DECHEMA e.V.;
conference:
end_date: 2023-09-21
location: Berlin, Germany
name: 14th European Congress of Chemical Engineering and 7th European Congress of
Applied Biotechnology
start_date: 2023-09-17
date_created: 2024-05-21T09:37:09Z
date_updated: 2024-05-21T09:37:15Z
department:
- _id: DEP4000
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://www.apz-rl.de/BioProcessingDays_2023/002_download/BPDs_2023_Tagungsbuch_Titel.pdf
oa: '1'
publication_status: accepted
publisher: DECHEMA e.V.
status: public
title: 'Comparison of Preprocessing Methods of Dielectric Spectroscopy Data and the
Effects on Linear Regression '
type: conference_poster
user_id: '83781'
year: '2023'
...
---
_id: '13650'
author:
- first_name: Selina
full_name: Uhlendorff, Selina
id: '68713'
last_name: Uhlendorff
orcid: https://orcid.org/0000-0002-0502-8032
- first_name: Tanja
full_name: Hernández Rodriguez, Tanja
id: '52466'
last_name: Hernández Rodriguez
- first_name: Björn
full_name: Frahm, Björn
id: '45666'
last_name: Frahm
- first_name: Miriam
full_name: Pein-Hackelbusch, Miriam
id: '64952'
last_name: Pein-Hackelbusch
orcid: 0000-0002-7920-0595
citation:
ama: Uhlendorff S, Hernández Rodriguez T, Frahm B, Pein-Hackelbusch M. Systematic
Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities.;
2023.
apa: Uhlendorff, S., Hernández Rodriguez, T., Frahm, B., & Pein-Hackelbusch,
M. (2023). Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating
Viable Cell Densities. IEEE International Conference on Industrial Informatics,
INDIN ’23, Lemgo, Germany.
bjps: Uhlendorff S et al. (2023) Systematic Preprocessing of Dielectric
Spectroscopy Data and Estimating Viable Cell Densities. .
chicago: Uhlendorff, Selina, Tanja Hernández Rodriguez, Björn Frahm, and Miriam
Pein-Hackelbusch. Systematic Preprocessing of Dielectric Spectroscopy Data
and Estimating Viable Cell Densities, 2023.
chicago-de: Uhlendorff, Selina, Tanja Hernández Rodriguez, Björn Frahm und Miriam
Pein-Hackelbusch. 2023. Systematic Preprocessing of Dielectric Spectroscopy
Data and Estimating Viable Cell Densities.
din1505-2-1: 'Uhlendorff, Selina ;
Hernández Rodriguez, Tanja ; Frahm, Björn ; Pein-Hackelbusch,
Miriam: Systematic Preprocessing of Dielectric Spectroscopy Data and
Estimating Viable Cell Densities, 2023'
havard: S. Uhlendorff, T. Hernández Rodriguez, B. Frahm, M. Pein-Hackelbusch, Systematic
Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities,
2023.
ieee: S. Uhlendorff, T. Hernández Rodriguez, B. Frahm, and M. Pein-Hackelbusch,
Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable
Cell Densities. 2023.
mla: Uhlendorff, Selina, et al. Systematic Preprocessing of Dielectric Spectroscopy
Data and Estimating Viable Cell Densities. 2023.
short: S. Uhlendorff, T. Hernández Rodriguez, B. Frahm, M. Pein-Hackelbusch, Systematic
Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities,
2023.
ufg: 'Uhlendorff, Selina u. a.: Systematic Preprocessing of Dielectric Spectroscopy
Data and Estimating Viable Cell Densities, o. O. 2023.'
van: Uhlendorff S, Hernández Rodriguez T, Frahm B, Pein-Hackelbusch M. Systematic
Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities.
2023.
conference:
end_date: 2023-07-20
location: Lemgo, Germany
name: IEEE International Conference on Industrial Informatics, INDIN ’23
start_date: 2023-07-17
date_created: 2026-03-27T16:43:01Z
date_updated: 2026-04-08T13:09:47Z
department:
- _id: DEP4000
language:
- iso: eng
status: public
title: Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable
Cell Densities
type: conference_speech
user_id: '83778'
year: '2023'
...
---
_id: '10201'
author:
- first_name: Tanja
full_name: Hernández Rodriguez, Tanja
id: '52466'
last_name: Hernández Rodriguez
- first_name: Selina
full_name: Ramm, Selina
id: '68713'
last_name: Ramm
orcid: https://orcid.org/0000-0002-0502-8032
- first_name: Markus
full_name: Lange-Hegermann, Markus
id: '71761'
last_name: Lange-Hegermann
- first_name: Björn
full_name: Frahm, Björn
id: '45666'
last_name: Frahm
citation:
ama: Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. A Systematic,
Model-Based Workflow for Risk-Based Decision Making in Upstream Development.;
2023.
apa: Hernández Rodriguez, T., Ramm, S., Lange-Hegermann, M., & Frahm, B. (2023).
A systematic, model-based workflow for risk-based decision making in upstream
development. BioProcessingDays 2023, Recklinghausen, Germany.
bjps: Hernández Rodriguez T et al. (2023) A Systematic, Model-Based
Workflow for Risk-Based Decision Making in Upstream Development. .
chicago: Hernández Rodriguez, Tanja, Selina Ramm, Markus Lange-Hegermann, and Björn
Frahm. A Systematic, Model-Based Workflow for Risk-Based Decision Making in
Upstream Development, 2023.
chicago-de: Hernández Rodriguez, Tanja, Selina Ramm, Markus Lange-Hegermann und
Björn Frahm. 2023. A systematic, model-based workflow for risk-based decision
making in upstream development.
din1505-2-1: 'Hernández Rodriguez, Tanja
; Ramm, Selina ; Lange-Hegermann,
Markus ; Frahm, Björn: A
systematic, model-based workflow for risk-based decision making in upstream development,
2023'
havard: T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A systematic,
model-based workflow for risk-based decision making in upstream development, 2023.
ieee: T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, and B. Frahm, A systematic,
model-based workflow for risk-based decision making in upstream development.
2023.
mla: Hernández Rodriguez, Tanja, et al. A Systematic, Model-Based Workflow for
Risk-Based Decision Making in Upstream Development. 2023.
short: T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A Systematic,
Model-Based Workflow for Risk-Based Decision Making in Upstream Development, 2023.
ufg: 'Hernández Rodriguez, Tanja u. a.: A systematic, model-based workflow
for risk-based decision making in upstream development, o. O. 2023.'
van: Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. A systematic, model-based
workflow for risk-based decision making in upstream development. 2023.
conference:
end_date: 2023-03-01
location: Recklinghausen, Germany
name: BioProcessingDays 2023
start_date: 2023-02-27
date_created: 2023-08-08T14:54:44Z
date_updated: 2024-08-02T09:41:01Z
department:
- _id: DEP4000
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://www.apz-rl.de/BioProcessingDays_2023/002_download/BPDs_2023_Tagungsbuch_Titel.pdf
oa: '1'
publication_status: published
status: public
title: A systematic, model-based workflow for risk-based decision making in upstream
development
type: conference_poster
user_id: '83781'
year: '2023'
...
---
_id: '10216'
abstract:
- lang: eng
text: Wet granulation is a frequent process in the pharmaceutical industry. As a
starting point for numerous dosage forms, the quality of the granulation not only
affects subsequent production steps but also impacts the quality of the final
product. It is thus crucial and economical to monitor this operation thoroughly.
Here, we report on identifying different phases of a granulation process using
a machine learning approach. The phases reflect the water content which, in turn,
influences the processability and quality of the granule mass. We used two kinds
of microphones and an acceleration sensor to capture acoustic emissions and vibrations.
We trained convolutional neural networks (CNNs) to classify the different phases
using transformed sound recordings as the input. We achieved a classification
accuracy of up to 90% using vibrational data and an accuracy of up to 97% using
the audible microphone data. Our results indicate the suitability of using audible
sound and machine learning to monitor pharmaceutical processes. Moreover, since
recording acoustic emissions is contactless, it readily complies with legal regulations
and presents Good Manufacturing Practices.
article_number: '2153'
author:
- first_name: Ruwen
full_name: Fulek, Ruwen
id: '79527'
last_name: Fulek
- first_name: Selina
full_name: Ramm, Selina
id: '68713'
last_name: Ramm
orcid: https://orcid.org/0000-0002-0502-8032
- first_name: Christian
full_name: Kiera, Christian
last_name: Kiera
- first_name: Miriam
full_name: Pein-Hackelbusch, Miriam
id: '64952'
last_name: Pein-Hackelbusch
orcid: 0000-0002-7920-0595
- first_name: Ulrich
full_name: Odefey, Ulrich
id: '74218'
last_name: Odefey
citation:
ama: Fulek R, Ramm S, Kiera C, Pein-Hackelbusch M, Odefey U. A machine learning
approach to qualitatively evaluate different granulation phases by acoustic emissions.
Pharmaceutics. 2023;15(8). doi:https://doi.org/10.3390/pharmaceutics15082153
apa: Fulek, R., Ramm, S., Kiera, C., Pein-Hackelbusch, M., & Odefey, U. (2023).
A machine learning approach to qualitatively evaluate different granulation phases
by acoustic emissions. Pharmaceutics, 15(8), Article 2153. https://doi.org/10.3390/pharmaceutics15082153
bjps: Fulek R et al. (2023) A Machine Learning Approach to Qualitatively
Evaluate Different Granulation Phases by Acoustic Emissions. Pharmaceutics
15.
chicago: Fulek, Ruwen, Selina Ramm, Christian Kiera, Miriam Pein-Hackelbusch, and
Ulrich Odefey. “A Machine Learning Approach to Qualitatively Evaluate Different
Granulation Phases by Acoustic Emissions.” Pharmaceutics 15, no. 8 (2023).
https://doi.org/10.3390/pharmaceutics15082153.
chicago-de: Fulek, Ruwen, Selina Ramm, Christian Kiera, Miriam Pein-Hackelbusch
und Ulrich Odefey. 2023. A machine learning approach to qualitatively evaluate
different granulation phases by acoustic emissions. Pharmaceutics 15, Nr.
8. doi:https://doi.org/10.3390/pharmaceutics15082153,
.
din1505-2-1: 'Fulek, Ruwen ; Ramm, Selina ; Kiera,
Christian ; Pein-Hackelbusch, Miriam
; Odefey, Ulrich: A machine learning
approach to qualitatively evaluate different granulation phases by acoustic emissions.
In: Pharmaceutics Bd. 15. Basel, MDPI (2023), Nr. 8'
havard: R. Fulek, S. Ramm, C. Kiera, M. Pein-Hackelbusch, U. Odefey, A machine learning
approach to qualitatively evaluate different granulation phases by acoustic emissions,
Pharmaceutics. 15 (2023).
ieee: 'R. Fulek, S. Ramm, C. Kiera, M. Pein-Hackelbusch, and U. Odefey, “A machine
learning approach to qualitatively evaluate different granulation phases by acoustic
emissions,” Pharmaceutics, vol. 15, no. 8, Art. no. 2153, 2023, doi: https://doi.org/10.3390/pharmaceutics15082153.'
mla: Fulek, Ruwen, et al. “A Machine Learning Approach to Qualitatively Evaluate
Different Granulation Phases by Acoustic Emissions.” Pharmaceutics, vol.
15, no. 8, 2153, 2023, https://doi.org/10.3390/pharmaceutics15082153.
short: R. Fulek, S. Ramm, C. Kiera, M. Pein-Hackelbusch, U. Odefey, Pharmaceutics
15 (2023).
ufg: 'Fulek, Ruwen u. a.: A machine learning approach to qualitatively evaluate
different granulation phases by acoustic emissions, in: Pharmaceutics 15
(2023), H. 8.'
van: Fulek R, Ramm S, Kiera C, Pein-Hackelbusch M, Odefey U. A machine learning
approach to qualitatively evaluate different granulation phases by acoustic emissions.
Pharmaceutics. 2023;15(8).
date_created: 2023-08-15T10:48:15Z
date_updated: 2025-07-29T13:21:40Z
department:
- _id: DEP4022
- _id: DEP4028
- _id: DEP4014
doi: https://doi.org/10.3390/pharmaceutics15082153
external_id:
isi:
- '001119084200001'
pmid:
- '37631367'
intvolume: ' 15'
isi: '1'
issue: '8'
keyword:
- wet granulation
- acoustic classification
- machine learning
- convolutional neural networks
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/1999-4923/15/8/2153
oa: '1'
place: Basel
pmid: '1'
publication: Pharmaceutics
publication_identifier:
eissn:
- '1999-4923 '
publication_status: published
publisher: MDPI
quality_controlled: '1'
status: public
title: A machine learning approach to qualitatively evaluate different granulation
phases by acoustic emissions
type: scientific_journal_article
user_id: '83781'
volume: 15
year: '2023'
...
---
_id: '10788'
abstract:
- lang: eng
text: For process monitoring, an adequate data preprocessing is crucial to link
accessible inline process data with offline measured target variables. Literature,
however, does not provide systematic preprocessing strategies. The effects of
five different preprocessing strategies on data from a Dielectric Spectroscopy
system applied to the Viable Cell Density (VCD) of a mammalian cell cultivation
were thus evaluated. Single-frequency measurements are typically used to model
the VCD over the growth phase using linear regression or the Cole-Cole model and
served as a reference. As multi-frequency measurement is promising to model the
VCD beyond the growth phase using Partial Least Squares Regression (PLSR), we
further aimed to determine, whether replacing linear regression by PLSR shows
comparable modeling performance. All five preprocessing strategies led to comparable
results. Exemplary, when using capacitance values at a frequency of 3347 kHz,
linear regression resulted in a R2 of 0.90 and a standard deviation of 0.4 % on
average. Both normalization techniques had the same positive effect on the results
of PLSR. The order of smoothing and normalization was irrelevant for both regression
methods. Comparing the results of linear regression and PLSR, the latter obtained
on average 9 % better results. Therefore, we concluded that PLSR is preferable
over linear regression and is potentially suitable to model the VCD beyond the
growth phase, which is suggested to be investigated based on more data sets.
author:
- first_name: Selina
full_name: Ramm, Selina
id: '68713'
last_name: Ramm
orcid: https://orcid.org/0000-0002-0502-8032
- first_name: Tanja
full_name: Hernández Rodriguez, Tanja
id: '52466'
last_name: Hernández Rodriguez
- first_name: Björn
full_name: Frahm, Björn
id: '45666'
last_name: Frahm
- first_name: Miriam
full_name: Pein-Hackelbusch, Miriam
id: '64952'
last_name: Pein-Hackelbusch
orcid: 0000-0002-7920-0595
citation:
ama: Ramm S, Hernández Rodriguez T, Frahm B, Pein-Hackelbusch M. Systematic Preprocessing
of Dielectric Spectroscopy Data and Estimating Viable Cell Densities. (Jasperneite
J, Wisniewski L, Fung Man K, Institute of Electrical and Electronics Engineers
, eds.). IEEE; 2023:1-6. doi:10.1109/INDIN51400.2023.10218012
apa: Ramm, S., Hernández Rodriguez, T., Frahm, B., & Pein-Hackelbusch, M. (2023).
Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable
Cell Densities. In J. Jasperneite, L. Wisniewski, K. Fung Man, & Institute
of Electrical and Electronics Engineers (Eds.), 2023 IEEE 21st International
Conference on Industrial Informatics (INDIN) (pp. 1–6). IEEE. https://doi.org/10.1109/INDIN51400.2023.10218012
bjps: 'Ramm S et al. (2023) Systematic Preprocessing of Dielectric
Spectroscopy Data and Estimating Viable Cell Densities, Jasperneite J et al.
(eds). [Piscataway, NJ]: IEEE.'
chicago: 'Ramm, Selina, Tanja Hernández Rodriguez, Björn Frahm, and Miriam Pein-Hackelbusch.
Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable
Cell Densities. Edited by Jürgen Jasperneite, Lukasz Wisniewski, Kim Fung
Man, and Institute of Electrical and Electronics Engineers . 2023 IEEE 21st
International Conference on Industrial Informatics (INDIN). [Piscataway, NJ]:
IEEE, 2023. https://doi.org/10.1109/INDIN51400.2023.10218012.'
chicago-de: 'Ramm, Selina, Tanja Hernández Rodriguez, Björn Frahm und Miriam Pein-Hackelbusch.
2023. Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating
Viable Cell Densities. Hg. von Jürgen Jasperneite, Lukasz Wisniewski, Kim
Fung Man, und Institute of Electrical and Electronics Engineers . 2023 IEEE
21st International Conference on Industrial Informatics (INDIN). [Piscataway,
NJ]: IEEE. doi:10.1109/INDIN51400.2023.10218012,
.'
din1505-2-1: 'Ramm, Selina ; Hernández Rodriguez, Tanja ; Frahm,
Björn ; Pein-Hackelbusch, Miriam
; Jasperneite, J. ; Wisniewski,
L. ; Fung Man, K. ; Institute of Electrical and Electronics Engineers
(Hrsg.): Systematic Preprocessing of Dielectric Spectroscopy Data and
Estimating Viable Cell Densities. [Piscataway, NJ] : IEEE, 2023'
havard: S. Ramm, T. Hernández Rodriguez, B. Frahm, M. Pein-Hackelbusch, Systematic
Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities,
IEEE, [Piscataway, NJ], 2023.
ieee: 'S. Ramm, T. Hernández Rodriguez, B. Frahm, and M. Pein-Hackelbusch, Systematic
Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities.
[Piscataway, NJ]: IEEE, 2023, pp. 1–6. doi: 10.1109/INDIN51400.2023.10218012.'
mla: Ramm, Selina, et al. “Systematic Preprocessing of Dielectric Spectroscopy Data
and Estimating Viable Cell Densities.” 2023 IEEE 21st International Conference
on Industrial Informatics (INDIN), edited by Jürgen Jasperneite et al., IEEE,
2023, pp. 1–6, https://doi.org/10.1109/INDIN51400.2023.10218012.
short: S. Ramm, T. Hernández Rodriguez, B. Frahm, M. Pein-Hackelbusch, Systematic
Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities,
IEEE, [Piscataway, NJ], 2023.
ufg: 'Ramm, Selina u. a.: Systematic Preprocessing of Dielectric Spectroscopy
Data and Estimating Viable Cell Densities, hg. von Jasperneite, Jürgen u. a.,
[Piscataway, NJ] 2023.'
van: 'Ramm S, Hernández Rodriguez T, Frahm B, Pein-Hackelbusch M. Systematic Preprocessing
of Dielectric Spectroscopy Data and Estimating Viable Cell Densities. Jasperneite
J, Wisniewski L, Fung Man K, Institute of Electrical and Electronics Engineers
, editors. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN).
[Piscataway, NJ]: IEEE; 2023.'
conference:
end_date: 2023-07-20
location: Lemgo
name: 21st International Conference on Industrial Informatics (INDIN)
start_date: 2023-07-18
corporate_editor:
- 'Institute of Electrical and Electronics Engineers '
date_created: 2023-11-21T08:17:12Z
date_updated: 2025-04-29T07:38:03Z
department:
- _id: DEP4022
- _id: DEP4028
doi: 10.1109/INDIN51400.2023.10218012
editor:
- first_name: Jürgen
full_name: Jasperneite, Jürgen
id: '1899'
last_name: Jasperneite
- first_name: Lukasz
full_name: Wisniewski, Lukasz
id: '1710'
last_name: Wisniewski
- first_name: Kim
full_name: Fung Man, Kim
last_name: Fung Man
keyword:
- Spectroscopy
- Smoothing methods
- Systematics
- Phase measurement
- Linear regression
- Data models
- Dielectric measurement
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://ieeexplore.ieee.org/document/10218012
oa: '1'
page: 1-6
place: '[Piscataway, NJ]'
publication: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN)
publication_identifier:
eisbn:
- 978-1-6654-9313-0
isbn:
- 978-1-6654-9314-7
issn:
- 1935-4576
publication_status: published
publisher: IEEE
status: public
title: Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable
Cell Densities
type: conference_editor_article
user_id: '83781'
year: '2023'
...
---
_id: '9627'
author:
- first_name: Selina
full_name: Ramm, Selina
id: '68713'
last_name: Ramm
orcid: https://orcid.org/0000-0002-0502-8032
- first_name: Ruwen
full_name: Fulek, Ruwen
id: '79527'
last_name: Fulek
- first_name: Veronika Anna
full_name: Eberle, Veronika Anna
last_name: Eberle
- first_name: Christian
full_name: Kiera, Christian
last_name: Kiera
- first_name: Ulrich
full_name: Odefey, Ulrich
id: '74218'
last_name: Odefey
- first_name: Miriam
full_name: Pein-Hackelbusch, Miriam
id: '64952'
last_name: Pein-Hackelbusch
orcid: 0000-0002-7920-0595
citation:
ama: Ramm S, Fulek R, Eberle VA, Kiera C, Odefey U, Pein-Hackelbusch M. Compression
Density as an Alternative to Identify an Optimal Moisture Content for High Shear
Wet Granulation as an Initial Step for Spheronisation.; 2023.
apa: Ramm, S., Fulek, R., Eberle, V. A., Kiera, C., Odefey, U., & Pein-Hackelbusch,
M. (2023). Compression Density as an Alternative to Identify an Optimal Moisture
Content for High Shear Wet Granulation as an Initial Step for Spheronisation.
Ph.D. Student’s Symposium on Tabletting Technology 2023, Rosenberg.
bjps: Ramm S et al. (2023) Compression Density as an Alternative
to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial
Step for Spheronisation. .
chicago: Ramm, Selina, Ruwen Fulek, Veronika Anna Eberle, Christian Kiera, Ulrich
Odefey, and Miriam Pein-Hackelbusch. Compression Density as an Alternative
to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial
Step for Spheronisation, 2023.
chicago-de: Ramm, Selina, Ruwen Fulek, Veronika Anna Eberle, Christian Kiera, Ulrich
Odefey und Miriam Pein-Hackelbusch. 2023. Compression Density as an Alternative
to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial
Step for Spheronisation.
din1505-2-1: 'Ramm, Selina ; Fulek, Ruwen ; Eberle,
Veronika Anna ; Kiera, Christian
; Odefey, Ulrich ; Pein-Hackelbusch,
Miriam: Compression Density as an Alternative to Identify an Optimal
Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation,
2023'
havard: S. Ramm, R. Fulek, V.A. Eberle, C. Kiera, U. Odefey, M. Pein-Hackelbusch,
Compression Density as an Alternative to Identify an Optimal Moisture Content
for High Shear Wet Granulation as an Initial Step for Spheronisation, 2023.
ieee: S. Ramm, R. Fulek, V. A. Eberle, C. Kiera, U. Odefey, and M. Pein-Hackelbusch,
Compression Density as an Alternative to Identify an Optimal Moisture Content
for High Shear Wet Granulation as an Initial Step for Spheronisation. 2023.
mla: Ramm, Selina, et al. Compression Density as an Alternative to Identify an
Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for
Spheronisation. 2023.
short: S. Ramm, R. Fulek, V.A. Eberle, C. Kiera, U. Odefey, M. Pein-Hackelbusch,
Compression Density as an Alternative to Identify an Optimal Moisture Content
for High Shear Wet Granulation as an Initial Step for Spheronisation, 2023.
ufg: 'Ramm, Selina u. a.: Compression Density as an Alternative to Identify
an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step
for Spheronisation, o. O. 2023.'
van: Ramm S, Fulek R, Eberle VA, Kiera C, Odefey U, Pein-Hackelbusch M. Compression
Density as an Alternative to Identify an Optimal Moisture Content for High Shear
Wet Granulation as an Initial Step for Spheronisation. 2023.
conference:
end_date: 2023-03-15
location: Rosenberg
name: Ph.D. Student's Symposium on Tabletting Technology 2023
start_date: 2023-03-13
date_created: 2023-03-16T09:46:10Z
date_updated: 2025-07-29T13:23:12Z
department:
- _id: DEP4022
- _id: DEP4028
- _id: DEP4014
language:
- iso: eng
publication_status: published
status: public
title: Compression Density as an Alternative to Identify an Optimal Moisture Content
for High Shear Wet Granulation as an Initial Step for Spheronisation
type: conference_speech
user_id: '83781'
year: '2023'
...
---
_id: '7932'
author:
- first_name: Tanja
full_name: Hernández Rodriguez, Tanja
id: '52466'
last_name: Hernández Rodriguez
- first_name: Selina
full_name: Ramm, Selina
id: '68713'
last_name: Ramm
orcid: https://orcid.org/0000-0002-0502-8032
- first_name: Markus
full_name: Lange-Hegermann, Markus
id: '71761'
last_name: Lange-Hegermann
- first_name: Björn
full_name: Frahm, Björn
id: '45666'
last_name: Frahm
citation:
ama: Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. A Systematic,
Model-Based Workflow for Risk-Based Decision Making in Upstream Development.
apa: Hernández Rodriguez, T., Ramm, S., Lange-Hegermann, M., & Frahm, B. (n.d.).
A systematic, model-based workflow for risk-based decision making in upstream
development. 5th annual Bioprocessing Summit Europe, Barcelona, Spain.
bjps: Hernández Rodriguez T et al. (n.d.) A Systematic, Model-Based
Workflow for Risk-Based Decision Making in Upstream Development. .
chicago: Hernández Rodriguez, Tanja, Selina Ramm, Markus Lange-Hegermann, and Björn
Frahm. A Systematic, Model-Based Workflow for Risk-Based Decision Making in
Upstream Development, n.d.
chicago-de: Hernández Rodriguez, Tanja, Selina Ramm, Markus Lange-Hegermann und
Björn Frahm. A systematic, model-based workflow for risk-based decision making
in upstream development.
din1505-2-1: 'Hernández Rodriguez, Tanja
; Ramm, Selina ; Lange-Hegermann,
Markus ; Frahm, Björn: A
systematic, model-based workflow for risk-based decision making in upstream development'
havard: T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A systematic,
model-based workflow for risk-based decision making in upstream development, n.d.
ieee: T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, and B. Frahm, A systematic,
model-based workflow for risk-based decision making in upstream development.
mla: Hernández Rodriguez, Tanja, et al. A Systematic, Model-Based Workflow for
Risk-Based Decision Making in Upstream Development.
short: T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A Systematic,
Model-Based Workflow for Risk-Based Decision Making in Upstream Development, n.d.
ufg: 'Hernández Rodriguez, Tanja u. a.: A systematic, model-based workflow
for risk-based decision making in upstream development, o. O. u. J. .'
van: Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. A systematic, model-based
workflow for risk-based decision making in upstream development.
conference:
end_date: 2022-03-24
location: Barcelona, Spain
name: 5th annual Bioprocessing Summit Europe
start_date: 2022-03-22
date_created: 2022-05-04T19:35:20Z
date_updated: 2024-08-02T13:57:53Z
department:
- _id: DEP4021
language:
- iso: eng
publication_status: accepted
status: public
title: A systematic, model-based workflow for risk-based decision making in upstream
development
type: conference_poster
user_id: '83781'
year: '2022'
...
---
_id: '9568'
abstract:
- lang: eng
text: Pellet production is a multi-step manufacturing process comprising granulation,
extrusion and spheronisation. The first step represents a critical control point,
since the quality of the granule mass highly influences subsequent process steps
and, consequently, the quality of final pellets. The most important parameter
of wet granulation is the liquid requirement, which can often only be quantitatively
evaluated after further process steps. To identify an alternative for optimal
liquid requirements, experiments were conducted with a formulation based on lactose
and microcrystalline cellulose. Granules were analyzed with a Powder Vertical
Shear Rig. We identified the compression density (ρpress) as the said alternative,
linking information from the powder material and the moisture content (R2 = 0.995).
We used ρpress to successfully predict liquid requirements for unknown formulation
compositions. By means of this prediction, pellets with high quality, regarding
shape and size distribution, were produced by carrying out a multi-step manufacturing
process. Furthermore, the applicability of ρpress as an alternative quality parameter
to other placebo formulations and to formulations containing active pharmaceutical
ingredients (APIs) was demonstrated.
article_number: '2303'
author:
- first_name: Selina
full_name: Ramm, Selina
id: '68713'
last_name: Ramm
orcid: https://orcid.org/0000-0002-0502-8032
- first_name: Ruwen
full_name: Fulek, Ruwen
id: '79527'
last_name: Fulek
- first_name: Veronika Anna
full_name: Eberle, Veronika Anna
last_name: Eberle
- first_name: Christian
full_name: Kiera, Christian
last_name: Kiera
- first_name: Ulrich
full_name: Odefey, Ulrich
id: '74218'
last_name: Odefey
- first_name: Miriam
full_name: Pein-Hackelbusch, Miriam
id: '64952'
last_name: Pein-Hackelbusch
orcid: 0000-0002-7920-0595
citation:
ama: Ramm S, Fulek R, Eberle VA, Kiera C, Odefey U, Pein-Hackelbusch M. Compression
Density as an Alternative to Identify an Optimal Moisture Content for High Shear
Wet Granulation as an Initial Step for Spheronisation. Pharmaceutics. 2022;14(11).
doi:https://doi.org/10.3390/pharmaceutics14112303
apa: Ramm, S., Fulek, R., Eberle, V. A., Kiera, C., Odefey, U., & Pein-Hackelbusch,
M. (2022). Compression Density as an Alternative to Identify an Optimal Moisture
Content for High Shear Wet Granulation as an Initial Step for Spheronisation.
Pharmaceutics, 14(11), Article 2303. https://doi.org/10.3390/pharmaceutics14112303
bjps: Ramm S et al. (2022) Compression Density as an Alternative to
Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial
Step for Spheronisation. Pharmaceutics 14.
chicago: Ramm, Selina, Ruwen Fulek, Veronika Anna Eberle, Christian Kiera, Ulrich
Odefey, and Miriam Pein-Hackelbusch. “Compression Density as an Alternative to
Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial
Step for Spheronisation.” Pharmaceutics 14, no. 11 (2022). https://doi.org/10.3390/pharmaceutics14112303.
chicago-de: Ramm, Selina, Ruwen Fulek, Veronika Anna Eberle, Christian Kiera, Ulrich
Odefey und Miriam Pein-Hackelbusch. 2022. Compression Density as an Alternative
to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial
Step for Spheronisation. Pharmaceutics 14, Nr. 11. doi:https://doi.org/10.3390/pharmaceutics14112303,
.
din1505-2-1: 'Ramm, Selina ; Fulek, Ruwen ; Eberle,
Veronika Anna ; Kiera, Christian
; Odefey, Ulrich ; Pein-Hackelbusch,
Miriam: Compression Density as an Alternative to Identify an Optimal Moisture
Content for High Shear Wet Granulation as an Initial Step for Spheronisation.
In: Pharmaceutics Bd. 14. Basel, MDPI (2022), Nr. 11'
havard: S. Ramm, R. Fulek, V.A. Eberle, C. Kiera, U. Odefey, M. Pein-Hackelbusch,
Compression Density as an Alternative to Identify an Optimal Moisture Content
for High Shear Wet Granulation as an Initial Step for Spheronisation., Pharmaceutics.
14 (2022).
ieee: 'S. Ramm, R. Fulek, V. A. Eberle, C. Kiera, U. Odefey, and M. Pein-Hackelbusch,
“Compression Density as an Alternative to Identify an Optimal Moisture Content
for High Shear Wet Granulation as an Initial Step for Spheronisation.,” Pharmaceutics,
vol. 14, no. 11, Art. no. 2303, 2022, doi: https://doi.org/10.3390/pharmaceutics14112303.'
mla: Ramm, Selina, et al. “Compression Density as an Alternative to Identify an
Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for
Spheronisation.” Pharmaceutics, vol. 14, no. 11, 2303, 2022, https://doi.org/10.3390/pharmaceutics14112303.
short: S. Ramm, R. Fulek, V.A. Eberle, C. Kiera, U. Odefey, M. Pein-Hackelbusch,
Pharmaceutics 14 (2022).
ufg: 'Ramm, Selina u. a.: Compression Density as an Alternative to Identify
an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step
for Spheronisation., in: Pharmaceutics 14 (2022), H. 11.'
van: Ramm S, Fulek R, Eberle VA, Kiera C, Odefey U, Pein-Hackelbusch M. Compression
Density as an Alternative to Identify an Optimal Moisture Content for High Shear
Wet Granulation as an Initial Step for Spheronisation. Pharmaceutics. 2022;14(11).
date_created: 2023-03-03T11:23:01Z
date_updated: 2025-07-29T13:22:53Z
department:
- _id: DEP4022
- _id: DEP4028
- _id: DEP4014
doi: https://doi.org/10.3390/pharmaceutics14112303
external_id:
isi:
- '000883998100001'
pmid:
- '36365122'
intvolume: ' 14'
isi: '1'
issue: '11'
keyword:
- wet granulation
- liquid requirement
- granulation endpoint
- compression density
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/1999-4923/14/11/2303
oa: '1'
place: Basel
pmid: '1'
publication: Pharmaceutics
publication_identifier:
eissn:
- 1999-4923
publication_status: published
publisher: MDPI
status: public
title: Compression Density as an Alternative to Identify an Optimal Moisture Content
for High Shear Wet Granulation as an Initial Step for Spheronisation.
type: scientific_journal_article
user_id: '83781'
volume: 14
year: '2022'
...