---
_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: '13101'
abstract:
- lang: eng
text: "Introduction: In-line sensors, which are crucial for real-time (bio-) process
monitoring, can suffer from anomalies. These signal spikes and shifts compromise
process control. Due to the dynamic and non-stationary nature of bioprocess signals,
addressing these issues requires specialized preprocessing. However, existing
anomaly detection methods often fail for real-time applications.\r\n\r\nMethods:
This study addresses a common yet critical issue: developing a robust and easy-to-implement
algorithm for real-time anomaly detection and removal for in-line permittivity
sensor measurement. Recombinant Pichia pastoris cultivations served as a case
study. Trivial approaches, such as moving average filtering, do not adequately
capture the complexity of the problem. However, our method provides a structured
solution through three consecutive steps: 1) Signal preprocessing to reduce noise
and eliminate context dependency; 2) Anomaly detection using threshold-based identification;
3) Validation and removal of identified anomalies.\r\n\r\nResults and discussion:
We demonstrate that our approach effectively detects and removes anomalies by
compensating signal shift value, while remaining computationally efficient and
practical for real-time use. It achieves an F1-score of 0.79 with a static threshold
of 1.06 pF/cm and a double rolling aggregate transformer using window sizes w1
= 1 and w2 = 15. This flexible and scalable algorithm has the potential to bridge
a crucial gap in process real-time analytics and control."
article_number: '1609369'
article_type: original
author:
- first_name: Emils
full_name: Bolmanis, Emils
last_name: Bolmanis
- first_name: Selina
full_name: Uhlendorff, Selina
id: '85335'
last_name: Uhlendorff
- first_name: Miriam
full_name: Pein-Hackelbusch, Miriam
id: '64952'
last_name: Pein-Hackelbusch
orcid: 0000-0002-7920-0595
- first_name: Vytautas
full_name: Galvanauskas, Vytautas
last_name: Galvanauskas
- first_name: Oskars
full_name: Grigs, Oskars
last_name: Grigs
citation:
ama: Bolmanis E, Uhlendorff S, Pein-Hackelbusch M, Galvanauskas V, Grigs O. Anomaly
detection and removal strategies for in-line permittivity sensor signal used in
bioprocesses. Frontiers in Bioengineering and Biotechnology. 2025;13. doi:10.3389/fbioe.2025.1609369
apa: Bolmanis, E., Uhlendorff, S., Pein-Hackelbusch, M., Galvanauskas, V., &
Grigs, O. (2025). Anomaly detection and removal strategies for in-line permittivity
sensor signal used in bioprocesses. Frontiers in Bioengineering and Biotechnology,
13, Article 1609369. https://doi.org/10.3389/fbioe.2025.1609369
bjps: Bolmanis E et al. (2025) Anomaly Detection and Removal Strategies
for In-Line Permittivity Sensor Signal Used in Bioprocesses. Frontiers in Bioengineering
and Biotechnology 13.
chicago: Bolmanis, Emils, Selina Uhlendorff, Miriam Pein-Hackelbusch, Vytautas Galvanauskas,
and Oskars Grigs. “Anomaly Detection and Removal Strategies for In-Line Permittivity
Sensor Signal Used in Bioprocesses.” Frontiers in Bioengineering and Biotechnology
13 (2025). https://doi.org/10.3389/fbioe.2025.1609369.
chicago-de: Bolmanis, Emils, Selina Uhlendorff, Miriam Pein-Hackelbusch, Vytautas
Galvanauskas und Oskars Grigs. 2025. Anomaly detection and removal strategies
for in-line permittivity sensor signal used in bioprocesses. Frontiers in Bioengineering
and Biotechnology 13. doi:10.3389/fbioe.2025.1609369,
.
din1505-2-1: 'Bolmanis, Emils ; Uhlendorff, Selina ; Pein-Hackelbusch,
Miriam ; Galvanauskas, Vytautas
; Grigs, Oskars: Anomaly detection
and removal strategies for in-line permittivity sensor signal used in bioprocesses.
In: Frontiers in Bioengineering and Biotechnology Bd. 13. Lausanne, Frontiers
Media SA (2025)'
havard: E. Bolmanis, S. Uhlendorff, M. Pein-Hackelbusch, V. Galvanauskas, O. Grigs,
Anomaly detection and removal strategies for in-line permittivity sensor signal
used in bioprocesses, Frontiers in Bioengineering and Biotechnology. 13 (2025).
ieee: 'E. Bolmanis, S. Uhlendorff, M. Pein-Hackelbusch, V. Galvanauskas, and O.
Grigs, “Anomaly detection and removal strategies for in-line permittivity sensor
signal used in bioprocesses,” Frontiers in Bioengineering and Biotechnology,
vol. 13, Art. no. 1609369, 2025, doi: 10.3389/fbioe.2025.1609369.'
mla: Bolmanis, Emils, et al. “Anomaly Detection and Removal Strategies for In-Line
Permittivity Sensor Signal Used in Bioprocesses.” Frontiers in Bioengineering
and Biotechnology, vol. 13, 1609369, 2025, https://doi.org/10.3389/fbioe.2025.1609369.
short: E. Bolmanis, S. Uhlendorff, M. Pein-Hackelbusch, V. Galvanauskas, O. Grigs,
Frontiers in Bioengineering and Biotechnology 13 (2025).
ufg: 'Bolmanis, Emils u. a.: Anomaly detection and removal strategies for
in-line permittivity sensor signal used in bioprocesses, in: Frontiers in Bioengineering
and Biotechnology 13 (2025).'
van: Bolmanis E, Uhlendorff S, Pein-Hackelbusch M, Galvanauskas V, Grigs O. Anomaly
detection and removal strategies for in-line permittivity sensor signal used in
bioprocesses. Frontiers in Bioengineering and Biotechnology. 2025;13.
date_created: 2025-07-31T09:23:31Z
date_updated: 2025-10-10T07:46:08Z
ddc:
- '570'
department:
- _id: DEP4028
- _id: DEP4000
doi: 10.3389/fbioe.2025.1609369
file:
- access_level: closed
content_type: application/pdf
creator: f6x-0e0
date_created: 2025-07-31T09:24:49Z
date_updated: 2025-07-31T11:35:18Z
file_id: '13102'
file_name: fbioe-1-1609369.pdf
file_size: 2935650
relation: main_file
file_date_updated: 2025-07-31T11:35:18Z
has_accepted_license: '1'
intvolume: ' 13'
keyword:
- in-situ
- permittivity
- dielectric spectroscopy
- signal preprocessing
- dynamic threshold
- static threshold
- anomaly validation
- Pichia pastoris
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.3389/fbioe.2025.1609369
oa: '1'
place: Lausanne
publication: Frontiers in Bioengineering and Biotechnology
publication_identifier:
eissn:
- 2296-4185
publication_status: published
publisher: Frontiers Media SA
quality_controlled: '1'
status: public
title: Anomaly detection and removal strategies for in-line permittivity sensor signal
used in bioprocesses
type: scientific_journal_article
user_id: '64952'
volume: 13
year: '2025'
...
---
_id: '12021'
author:
- first_name: Jan
full_name: Segermann, Jan
id: '81965'
last_name: Segermann
- first_name: Mario
full_name: Luttmann, Mario
id: '63215'
last_name: Luttmann
- first_name: André
full_name: Blome, André
id: '62117'
last_name: Blome
- first_name: Sebastian
full_name: Feldt, Sebastian
id: '61469'
last_name: Feldt
- first_name: Sujee
full_name: Sivanesan, Sujee
last_name: Sivanesan
- first_name: Christoph-Alexander
full_name: Holst, Christoph-Alexander
id: '64782'
last_name: Holst
- first_name: Volker
full_name: Lohweg, Volker
id: '1804'
last_name: Lohweg
orcid: 0000-0002-3325-7887
- first_name: Björn
full_name: Frahm, Björn
id: '45666'
last_name: Frahm
- first_name: Ulrich
full_name: Müller, Ulrich
id: '12119'
last_name: Müller
citation:
ama: 'Segermann J, Luttmann M, Blome A, et al. Die Rolle von ML-Modellen in der
Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie.;
2024.'
apa: 'Segermann, J., Luttmann, M., Blome, A., Feldt, S., Sivanesan, S., Holst, C.-A.,
Lohweg, V., Frahm, B., & Müller, U. (2024). Die Rolle von ML-Modellen in
der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie.
10. GDL Kongress Lebensmitteltechnologie 2024, Lemgo.'
bjps: 'Segermann J et al. (2024) Die Rolle von ML-Modellen in der
Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie.
.'
chicago: 'Segermann, Jan, Mario Luttmann, André Blome, Sebastian Feldt, Sujee Sivanesan,
Christoph-Alexander Holst, Volker Lohweg, Björn Frahm, and Ulrich Müller. Die
Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation
mit NIR-Spektroskopie, 2024.'
chicago-de: 'Segermann, Jan, Mario Luttmann, André Blome, Sebastian Feldt, Sujee
Sivanesan, Christoph-Alexander Holst, Volker Lohweg, Björn Frahm und Ulrich Müller.
2024. Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie
zur Sauerteigfermentation mit NIR-Spektroskopie.'
din1505-2-1: 'Segermann,
Jan ; Luttmann, Mario ; Blome, André ; Feldt,
Sebastian ; Sivanesan, Sujee
; Holst, Christoph-Alexander ; Lohweg, Volker ; Frahm,
Björn ; u. a.: Die Rolle von ML-Modellen in der Lebensmitteltechnologie:
Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie, 2024'
havard: 'J. Segermann, M. Luttmann, A. Blome, S. Feldt, S. Sivanesan, C.-A. Holst,
V. Lohweg, B. Frahm, U. Müller, Die Rolle von ML-Modellen in der Lebensmitteltechnologie:
Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie, 2024.'
ieee: 'J. Segermann et al., Die Rolle von ML-Modellen in der Lebensmitteltechnologie:
Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie. 2024.'
mla: 'Segermann, Jan, et al. Die Rolle von ML-Modellen in der Lebensmitteltechnologie:
Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie. 2024.'
short: 'J. Segermann, M. Luttmann, A. Blome, S. Feldt, S. Sivanesan, C.-A. Holst,
V. Lohweg, B. Frahm, U. Müller, Die Rolle von ML-Modellen in der Lebensmitteltechnologie:
Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie, 2024.'
ufg: 'Segermann, Jan u. a.: Die Rolle von ML-Modellen in der Lebensmitteltechnologie:
Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie, o. O. 2024.'
van: 'Segermann J, Luttmann M, Blome A, Feldt S, Sivanesan S, Holst CA, et al. Die
Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation
mit NIR-Spektroskopie. 2024.'
conference:
end_date: 2024-10-12
location: Lemgo
name: 10. GDL Kongress Lebensmitteltechnologie 2024
start_date: 2024-10-10
date_created: 2024-11-06T16:53:13Z
date_updated: 2025-10-17T18:22:39Z
department:
- _id: DEP4028
- _id: DEP5023
- _id: DEP4000
- _id: DEP1308
keyword:
- sourdough
- fermentation
- near-infrared spectroscopy
- support vector machine
language:
- iso: ger
publication_status: published
status: public
title: 'Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie
zur Sauerteigfermentation mit NIR-Spektroskopie'
type: conference_speech
user_id: '81304'
year: '2024'
...
---
_id: '10787'
abstract:
- lang: eng
text: Cyber-physical production systems have emerged with the rise of Industry 4.0
in different industrial fields. Especially the food sector, where inhomogeneous
input products like beer/yeast suspensions with different qualities and properties
have yet slowed down automation, has potential for this evolution. This contribution
presents optimization methods for a dynamical cross-flow filtration plant which
is driven by an advanced control concept in combination with data driven product
monitoring via inline near infrared spectroscopy (NIR) in order to improve energy
savings and filtration performance. Using a hierarchical control and optimization
structure, the non stationary batch process is steered towards a high production
rate with low energy consumption for a variety of different input products.
author:
- first_name: Jörn
full_name: Tebbe, Jörn
id: '79072'
last_name: Tebbe
- first_name: Thomas
full_name: Pawlik, Thomas
id: '58915'
last_name: Pawlik
- first_name: Marc
full_name: Trilling-Haasler, Marc
id: '81622'
last_name: Trilling-Haasler
orcid: 0000-0002-3685-6383
- first_name: Jannis
full_name: Löbner, Jannis
id: '74097'
last_name: Löbner
- first_name: Markus
full_name: Lange-Hegermann, Markus
id: '71761'
last_name: Lange-Hegermann
- first_name: Jan
full_name: Schneider, Jan
id: '13209'
last_name: Schneider
orcid: 0000-0001-6401-8873
citation:
ama: Tebbe J, Pawlik T, Trilling-Haasler M, Löbner J, Lange-Hegermann M, Schneider
J. Holistic Optimization of a Dynamic Cross-Flow Filtration Process towards
a Cyber-Physical System. (Jasperneite J, Wisniewski L, Fung Man K, Institute
of Electrical and Electronics Engineers , eds.). IEEE; 2023:1-7. doi:10.1109/INDIN51400.2023.10217913
apa: Tebbe, J., Pawlik, T., Trilling-Haasler, M., Löbner, J., Lange-Hegermann, M.,
& Schneider, J. (2023). Holistic optimization of a dynamic cross-flow filtration
process towards a cyber-physical system. 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.
1–7). IEEE. https://doi.org/10.1109/INDIN51400.2023.10217913
bjps: 'Tebbe J et al. (2023) Holistic Optimization of a Dynamic
Cross-Flow Filtration Process towards a Cyber-Physical System, Jasperneite
J et al. (eds). [Piscataway, NJ]: IEEE.'
chicago: 'Tebbe, Jörn, Thomas Pawlik, Marc Trilling-Haasler, Jannis Löbner, Markus
Lange-Hegermann, and Jan Schneider. Holistic Optimization of a Dynamic Cross-Flow
Filtration Process towards a Cyber-Physical System. 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/INDIN51400.2023.10217913.'
chicago-de: 'Tebbe, Jörn, Thomas Pawlik, Marc Trilling-Haasler, Jannis Löbner, Markus
Lange-Hegermann und Jan Schneider. 2023. Holistic optimization of a dynamic
cross-flow filtration process towards a cyber-physical system. 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/INDIN51400.2023.10217913,
.'
din1505-2-1: 'Tebbe, Jörn ; Pawlik, Thomas ; Trilling-Haasler,
Marc ; Löbner, Jannis ; Lange-Hegermann, Markus ; Schneider,
Jan ; Jasperneite, J. ; Wisniewski, L. ; Fung
Man, K. ; Institute of Electrical
and Electronics Engineers (Hrsg.): Holistic optimization of a dynamic
cross-flow filtration process towards a cyber-physical system. [Piscataway,
NJ] : IEEE, 2023'
havard: J. Tebbe, T. Pawlik, M. Trilling-Haasler, J. Löbner, M. Lange-Hegermann,
J. Schneider, Holistic optimization of a dynamic cross-flow filtration process
towards a cyber-physical system, IEEE, [Piscataway, NJ], 2023.
ieee: 'J. Tebbe, T. Pawlik, M. Trilling-Haasler, J. Löbner, M. Lange-Hegermann,
and J. Schneider, Holistic optimization of a dynamic cross-flow filtration
process towards a cyber-physical system. [Piscataway, NJ]: IEEE, 2023, pp.
1–7. doi: 10.1109/INDIN51400.2023.10217913.'
mla: Tebbe, Jörn, et al. “Holistic Optimization of a Dynamic Cross-Flow Filtration
Process towards a Cyber-Physical System.” 2023 IEEE 21st International Conference
on Industrial Informatics (INDIN), edited by Jürgen Jasperneite et al., IEEE,
2023, pp. 1–7, https://doi.org/10.1109/INDIN51400.2023.10217913.
short: J. Tebbe, T. Pawlik, M. Trilling-Haasler, J. Löbner, M. Lange-Hegermann,
J. Schneider, Holistic Optimization of a Dynamic Cross-Flow Filtration Process
towards a Cyber-Physical System, IEEE, [Piscataway, NJ], 2023.
ufg: 'Tebbe, Jörn u. a.: Holistic optimization of a dynamic cross-flow filtration
process towards a cyber-physical system, hg. von Jasperneite, Jürgen u. a., [Piscataway,
NJ] 2023.'
van: 'Tebbe J, Pawlik T, Trilling-Haasler M, Löbner J, Lange-Hegermann M, Schneider
J. Holistic optimization of a dynamic cross-flow filtration process towards a
cyber-physical system. 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 2023
start_date: 2023-07-17
corporate_editor:
- 'Institute of Electrical and Electronics Engineers '
date_created: 2023-11-21T08:04:41Z
date_updated: 2025-06-26T07:48:22Z
department:
- _id: DEP4018
- _id: DEP1308
- _id: DEP4028
doi: 10.1109/INDIN51400.2023.10217913
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
- Production systems
- Filtration
- Velocity control
- Optimization methods
- Cyber-physical systems
- Nonhomogeneous media
language:
- iso: eng
page: 1-7
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: Holistic optimization of a dynamic cross-flow filtration process towards a
cyber-physical system
type: conference_editor_article
user_id: '83781'
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: '13335'
abstract:
- lang: eng
text: "The process of thermal preservation of liquid foods is a safety-relevant
process step in the processing of products such as fruit juices and is associated
with a high-energy expenditure and safety margin. There are already various approaches
to improve this conventionally managed process step in terms of product and resource
preservation. Compared to these novel technologies, the use of real-time process
analytics offers great potential to improve already existing process plants by
implementing inline capable process analytical tools. This allows direct control
of the reactions taking place and changes during the running process. Instead
of post process, random product control, quality control during the process can
be made rendered. The chemical and pharmaceutical industry serves as a reference
industry for the use of process analytical tools, although the reactions and product
matrices are less complex. In the food industry, on the other hand, there is a
greater variation in raw materials and intermediate products. In addition, a large
number of reactions can take place in parallel within a process, and the physical
states and properties of the individual components can vary. A uniform set of
rules for the use of process analytical tools does not exist here. Each product,
each process provides its own research potential, so that a large research gap
opens up in the area of the food industry.\r\nIn order to contribute to closing
this gap, this thesis presents a novel approach to improve the process of pasteurization
of liquid food. For fruit juices as an application, near infrared spectroscopy
in combination with chemometric methods was applied to make the process more product
specific. Based on known weaknesses of the process, the relevant aspects for a
product-specific treatment were identified. In the further course, the suitability
of near infrared spectroscopy as a process analytical tool in the process of pasteurization
was verified. Moreover, it was investigated whether a sufficiently accurate identification
of the product type as well as the microbiologically relevant properties can be
achieved by the application of chemometric methods. In the course of this, the
suitability of the measurement methodology was confirmed and solutions were established
for any process influences. The product classification and description of the
microbiologically relevant parameters extract content and pH value were also implemented
with sufficient accuracy. Knowing the destruction kinetics of relevant microorganisms,
the product-specific determination of target values for the necessary lethal heat
input could be realized. In addition, an analysis of the actual values was carried
out on the basis of a chemometric regression method by inferring the microbiological
pasteurization effect through the chemical reaction of acid hydrolytic sucrose
degradation by means of the indirect approach. This required knowledge of the
chemical reaction kinetics and mahematical modeling of the degradation behavior.
The novel approach could be confirmed by calculations using results from off-line
analysis, whereas the use of near infrared spectroscopy as an inline method still
revealed potential for optimization with respect to measurement accuracies.\r\nIn
summary, the results of this work provide a promising opportunity to make conventional
processes for the preservation of liquid foods more product-specific by using
near-infrared spectroscopy as an inline-capable and multimodal sensor technique,
leading to an increase in process efficiency and product quality."
- lang: ger
text: "Der Prozess der thermischen Haltbarmachung von flüssigen Lebensmitteln ist
ein sicherheitsrelevanter Prozessschritt in der Verarbeitung von Produkten wie
Fruchtsäften und ist mit einem hohen energetischen Aufwand und Sicherheitszuschlag
verbunden. Um diesen konventionell geführten Prozessschritt hinsichtlich Produkt-
und Ressourcenschonung zu optimieren, gibt es bereits verschiedene Ansätze. Im
Vergleich zu neuartigen Technologien bietet der Einsatz von Echtzeit-Prozessanalytik
großes Potential bereits bestehende Prozessanlagen durch die Implementierung inlinefähiger
Prozessanalysetools zu verbessern. Dies ermöglicht eine Kontrolle ablaufender
Reaktionen im laufenden Prozess. Anstelle nachgelagerter, stichprobenartiger Produktkontrolle
kann eine Qualitätslenkung im Prozess erfolgen. Vorbildindustrie bezüglich des
Einsatzes von Prozessanalysetools ist die pharmazeutische Industrie, wo Reaktionen
und Produktmatrices allerdings weniger komplex sind. In der Lebensmittelindustrie
gibt es eine größere Schwankungsbreite der Rohstoffe und Zwischenprodukte. Zudem
können innerhalb eines Prozesses eine Vielzahl an Reaktionen parallel ablaufen
und die Zustandsformen und Eigenschaften der einzelnen Komponenten variieren.
Ein einheitliches Regelwerk zum Einsatz der Prozessanalysetools existiert nicht.
Jedes Produkt, jeder Prozess liefert eigenes Forschungspotential, sodass sich
im Bereich der Lebensmittelindustrie eine große Forschungslücke auftut.\r\nUm
einen Beitrag zur Schließung dieser Lücke zu leisten, zeigt diese Arbeit einen
neuartigen Lösungsansatz auf, um den Prozess der Pasteurisation flüssiger Lebensmittel
zu verbessern. Am Anwendungsfall von Fruchtsäften wurde der Einsatz von Nahinfrarotspektroskopie
in Kombination mit chemometrischen Methoden genutzt, um den Prozess produktspezifischer
zu gestalten. Ausgehend von bekannten Schwachstellen des Prozesses wurden die
relevanten Aspekte identifiziert, deren Kenntnis für eine produktspezifische Behandlung
relevant sind. Angefangen mit der Überprüfung der Eignung von Nahinfrarotspektroskopie
als Prozessanalysetool im Prozess der Pasteurisation, wurde untersucht, ob eine
Identifikation des Produkttyps sowie der mikrobiologisch relevanten Eigenschaften
durch die Anwendung chemometrischer Methoden erfolgen kann. In diesem Zuge konnte
eine Eignung der Messmethodik bestätigt werden und für etwaige Prozesseinflüsse
Lösungsansätze etabliert werden. Auch die Produktklassifizierung und Beschreibung
der mikrobiologisch relevanten Parameter Extraktgehalt und pH-Wert wurden hinreichend
genau umgesetzt. Unter Kenntnis der Abtötungskinetiken entsprechend relevanter
Mikroorganismen konnte die produktspezifische Ermittlung für Sollwerte des notwendigen
letalen Hitzeeintrags realisiert werden. Im Weiteren wurde eine Analyse der Ist-Werte
auf Basis einer chemometrischen Regressionsmethode durchgeführt, indem mittels
des indirekten Ansatzes über die chemische Reaktion der säurehydrolytischen Saccharosedegradation
auf den mikrobiologischen Pasteurisationseffekt geschlossen wurde. Dazu war die
Kenntnis der chemischen Reaktionskinetik notwendig und die mathematische Modellierung
des Abbauverhaltens. Der neuartige Ansatz konnte mittels Berechnungen unter Verwendung
von Ergebnissen der Offline-Analytik bestätigt werden. Der Einsatz von Nahinfrarotspektroskopie
als Inline- Methode hingegen offenbarte Optimierungspotenzial hinsichtlich der
Messgenauigkeiten.\r\nZusammenfassend liefern die Ergebnisse dieser Arbeit eine
vielversprechende Möglichkeit herkömmliche Prozesse zur Haltbarmachung von flüssigen
Lebensmitteln durch den Einsatz von Nahinfrarotspektroskopie als inlinefähige,
multimodale Sensortechnik produktspezifischer zu gestalten, was zur Steigerung
der Prozesseffizienz und Produktqualität führt."
author:
- first_name: Imke
full_name: Weishaupt, Imke
id: '58425'
last_name: Weishaupt
citation:
ama: Weishaupt I. Near Infrared Spectroscopy as Inline Analytical Tool to Optimize
the Pasteurization Process of Liquid Foods. Technische Universität Berlin;
2023. doi:https://doi.org/10.14279/depositonce-17804
apa: Weishaupt, I. (2023). Near infrared spectroscopy as inline analytical tool
to optimize the pasteurization process of liquid foods. Technische Universität
Berlin. https://doi.org/10.14279/depositonce-17804
bjps: 'Weishaupt I (2023) Near Infrared Spectroscopy as Inline Analytical
Tool to Optimize the Pasteurization Process of Liquid Foods. Berlin: Technische
Universität Berlin.'
chicago: 'Weishaupt, Imke. Near Infrared Spectroscopy as Inline Analytical Tool
to Optimize the Pasteurization Process of Liquid Foods. Berlin: Technische
Universität Berlin, 2023. https://doi.org/10.14279/depositonce-17804.'
chicago-de: 'Weishaupt, Imke. 2023. Near infrared spectroscopy as inline analytical
tool to optimize the pasteurization process of liquid foods. Berlin: Technische
Universität Berlin. doi:https://doi.org/10.14279/depositonce-17804,
.'
din1505-2-1: 'Weishaupt, Imke: Near
infrared spectroscopy as inline analytical tool to optimize the pasteurization
process of liquid foods. Berlin : Technische Universität Berlin, 2023'
havard: I. Weishaupt, Near infrared spectroscopy as inline analytical tool to optimize
the pasteurization process of liquid foods, Technische Universität Berlin, Berlin,
2023.
ieee: 'I. Weishaupt, Near infrared spectroscopy as inline analytical tool to
optimize the pasteurization process of liquid foods. Berlin: Technische Universität
Berlin, 2023. doi: https://doi.org/10.14279/depositonce-17804.'
mla: Weishaupt, Imke. Near Infrared Spectroscopy as Inline Analytical Tool to
Optimize the Pasteurization Process of Liquid Foods. Technische Universität
Berlin, 2023, https://doi.org/10.14279/depositonce-17804.
short: I. Weishaupt, Near Infrared Spectroscopy as Inline Analytical Tool to Optimize
the Pasteurization Process of Liquid Foods, Technische Universität Berlin, Berlin,
2023.
ufg: 'Weishaupt, Imke: Near infrared spectroscopy as inline analytical tool
to optimize the pasteurization process of liquid foods, Berlin 2023.'
van: 'Weishaupt I. Near infrared spectroscopy as inline analytical tool to optimize
the pasteurization process of liquid foods. Berlin: Technische Universität Berlin;
2023. 144 p.'
date_created: 2026-01-09T11:56:40Z
date_updated: 2026-01-12T08:47:34Z
defense_date: 2023-05-05
department:
- _id: DEP4028
doi: https://doi.org/10.14279/depositonce-17804
keyword:
- fruit juice pasteurization
- near infrared spectroscopy
- process optimization
- multivariate statistics
- inline process analytics
- Fruchtsaftpasteurisation
- Prozessoptimierung
- Nahinfrarotspektroskopie
- multivariate Statistik
- Inline-Prozessanalytik
language:
- iso: eng
page: '144'
place: Berlin
publication_status: published
publisher: Technische Universität Berlin
status: public
supervisor:
- first_name: 'Juri '
full_name: 'Rappsilber, Juri '
last_name: Rappsilber
- first_name: 'Peter '
full_name: 'Neubauer, Peter '
last_name: Neubauer
- first_name: Jan
full_name: Schneider, Jan
id: '13209'
last_name: Schneider
orcid: 0000-0001-6401-8873
- first_name: 'Leif-Alexander '
full_name: 'Garbe, Leif-Alexander '
last_name: Garbe
title: Near infrared spectroscopy as inline analytical tool to optimize the pasteurization
process of liquid foods
type: dissertation
user_id: '83781'
year: '2023'
...
---
_id: '9213'
abstract:
- lang: eng
text: The function and reliability of electrical connectors in automotive applications
is crucial for vehicle safety, especially with regard to E-mobility and autonomous
driving. For this reason, electrical connectors are being developed for long-term
use applications. However, a small amount of function failures are still being
observed in long-term use field vehicles. In this study all electrical connectors
of five long-term driven vehicles from various car manufacturers are disassembled
and analyzed. The same analysis procedure is followed for every vehicle and the
electrical resistance of the connectors is measured to determine electrical failures.
The contacts of failed connectors are further analyzed using optical microscopy,
XRF spectroscopy, EDS and detailed contact resistance mapping. By comparing the
connectors with electrical failures to the same types of connectors with a proper
electrical resistance, failure mechanisms can be detected and analyzed. The frequency
of various failure mechanisms is statistically evaluated. The results of the analysis
provide valuable indications with respect to improvement of the reliability of
connectors.
author:
- first_name: Dirk
full_name: Hilmert, Dirk
id: '74212'
last_name: Hilmert
- first_name: Haomiao
full_name: Yuan, Haomiao
id: '61860'
last_name: Yuan
- first_name: Jian
full_name: Song, Jian
id: '5297'
last_name: Song
citation:
ama: Hilmert D, Yuan H, Song J. The Analysis of Failure Mechanisms of Electrical
Connectors in Long-Term Use Field Vehicles. IEEE; 2022:9-16. doi:10.1109/HLM54538.2022.9969820
apa: 'Hilmert, D., Yuan, H., & Song, J. (2022). The Analysis of Failure Mechanisms
of Electrical Connectors in Long-term Use Field Vehicles. In Electrical contacts
- 2022 : proceedings of the Sixty-Seventh IEEE Holm Conference on Electrical Contacts
(pp. 9–16). IEEE. https://doi.org/10.1109/HLM54538.2022.9969820'
bjps: 'Hilmert D, Yuan H and Song J (2022) The Analysis of Failure Mechanisms
of Electrical Connectors in Long-Term Use Field Vehicles. Piscataway, NJ:
IEEE.'
chicago: 'Hilmert, Dirk, Haomiao Yuan, and Jian Song. The Analysis of Failure
Mechanisms of Electrical Connectors in Long-Term Use Field Vehicles. Electrical
Contacts - 2022 : Proceedings of the Sixty-Seventh IEEE Holm Conference on Electrical
Contacts. Piscataway, NJ: IEEE, 2022. https://doi.org/10.1109/HLM54538.2022.9969820.'
chicago-de: 'Hilmert, Dirk, Haomiao Yuan und Jian Song. 2022. The Analysis of
Failure Mechanisms of Electrical Connectors in Long-term Use Field Vehicles.
Electrical contacts - 2022 : proceedings of the Sixty-Seventh IEEE Holm Conference
on Electrical Contacts. Piscataway, NJ: IEEE. doi:10.1109/HLM54538.2022.9969820,
.'
din1505-2-1: 'Hilmert, Dirk ; Yuan, Haomiao ; Song,
Jian: The Analysis of Failure Mechanisms of Electrical Connectors in
Long-term Use Field Vehicles. Piscataway, NJ : IEEE, 2022'
havard: D. Hilmert, H. Yuan, J. Song, The Analysis of Failure Mechanisms of Electrical
Connectors in Long-term Use Field Vehicles, IEEE, Piscataway, NJ, 2022.
ieee: 'D. Hilmert, H. Yuan, and J. Song, The Analysis of Failure Mechanisms of
Electrical Connectors in Long-term Use Field Vehicles. Piscataway, NJ: IEEE,
2022, pp. 9–16. doi: 10.1109/HLM54538.2022.9969820.'
mla: 'Hilmert, Dirk, et al. “The Analysis of Failure Mechanisms of Electrical Connectors
in Long-Term Use Field Vehicles.” Electrical Contacts - 2022 : Proceedings
of the Sixty-Seventh IEEE Holm Conference on Electrical Contacts, IEEE, 2022,
pp. 9–16, https://doi.org/10.1109/HLM54538.2022.9969820.'
short: D. Hilmert, H. Yuan, J. Song, The Analysis of Failure Mechanisms of Electrical
Connectors in Long-Term Use Field Vehicles, IEEE, Piscataway, NJ, 2022.
ufg: 'Hilmert, Dirk/Yuan, Haomiao/Song, Jian: The Analysis of Failure Mechanisms
of Electrical Connectors in Long-term Use Field Vehicles, Piscataway, NJ 2022.'
van: 'Hilmert D, Yuan H, Song J. The Analysis of Failure Mechanisms of Electrical
Connectors in Long-term Use Field Vehicles. Electrical contacts - 2022 : proceedings
of the Sixty-Seventh IEEE Holm Conference on Electrical Contacts. Piscataway,
NJ: IEEE; 2022.'
conference:
end_date: 2022-10-26
location: Tampa, FL, USA
name: 67th Holm Conference on Electrical Contacts
start_date: 2022-10-23
date_created: 2022-12-11T13:55:18Z
date_updated: 2024-08-05T08:18:13Z
department:
- _id: DEP6012
doi: 10.1109/HLM54538.2022.9969820
keyword:
- Connectors
- Resistance
- Spectroscopy
- Optical microscopy
- Microscopy
- Vehicle safety
- Failure analysis
language:
- iso: eng
page: 9 - 16
place: Piscataway, NJ
publication: 'Electrical contacts - 2022 : proceedings of the Sixty-Seventh IEEE Holm
Conference on Electrical Contacts'
publication_identifier:
eisbn:
- 978-1-6654-5965-5
isbn:
- 978-1-6654-5966-2
- 978-1-6654-5967-9
issn:
- 2158-9992
publication_status: published
publisher: IEEE
status: public
title: The Analysis of Failure Mechanisms of Electrical Connectors in Long-term Use
Field Vehicles
type: conference_editor_article
user_id: '83781'
year: '2022'
...
---
_id: '7090'
abstract:
- lang: eng
text: The conventional method for the determination of the lethal heat load during
pasteurisation (expressed in so-called pasteurisation units (PU)) by measuring
temperature and flow rate provides known inaccuracies and requires safety margins
in terms of a planned over-pasteurisation to the detriment of the product quality.
Based on the hypothesis that chemical conversions correlate with applied heat
input, despite the differences in reaction kinetics between chemical conversion
and microbiological inactivation, inline near infrared spectroscopy (NIRS) was
investigated to identify and quantify applied PU. Acid hydrolytic sucrose degradation
was confirmed a favourable marker reaction. In a first step by still using offline
analytics (HPLC) and a calculation the feasibility and plausibility in principle
could be proved. Compared with conventional PU deviation of only 0.3% were found
when using the chemical marker reaction. However, the inline application using
NIRS showed too high variations. The too low accuracy of the NIRS model for the
sucrose measurement was identified of being the cause for failing the overall
goal. Improvements in the inline determination seem to be promising.
author:
- first_name: Imke
full_name: Weishaupt, Imke
id: '58425'
last_name: Weishaupt
- first_name: Peter
full_name: Neubauer, Peter
last_name: Neubauer
- first_name: Jan
full_name: Schneider, Jan
id: '13209'
last_name: Schneider
orcid: 0000-0001-6401-8873
citation:
ama: Weishaupt I, Neubauer P, Schneider J. Approach to an inline monitoring of the
heat impact in a high temperature short time treatment (HTST) of juice with the
help of a chemical marker. Brewing science. 2022;75(1/2):1-8. doi:10.23763/BrSc21-20weishaupt
apa: Weishaupt, I., Neubauer, P., & Schneider, J. (2022). Approach to an inline
monitoring of the heat impact in a high temperature short time treatment (HTST)
of juice with the help of a chemical marker. Brewing Science, 75(1/2),
1–8. https://doi.org/10.23763/BrSc21-20weishaupt
bjps: Weishaupt I, Neubauer P and Schneider J (2022) Approach to an Inline
Monitoring of the Heat Impact in a High Temperature Short Time Treatment (HTST)
of Juice with the Help of a Chemical Marker. Brewing science 75,
1–8.
chicago: 'Weishaupt, Imke, Peter Neubauer, and Jan Schneider. “Approach to an Inline
Monitoring of the Heat Impact in a High Temperature Short Time Treatment (HTST)
of Juice with the Help of a Chemical Marker.” Brewing Science 75, no. 1/2
(2022): 1–8. https://doi.org/10.23763/BrSc21-20weishaupt.'
chicago-de: 'Weishaupt, Imke, Peter Neubauer und Jan Schneider. 2022. Approach to
an inline monitoring of the heat impact in a high temperature short time treatment
(HTST) of juice with the help of a chemical marker. Brewing science 75,
Nr. 1/2: 1–8. doi:10.23763/BrSc21-20weishaupt,
.'
din1505-2-1: 'Weishaupt, Imke ; Neubauer, Peter ; Schneider,
Jan: Approach to an inline monitoring of the heat impact in a high temperature
short time treatment (HTST) of juice with the help of a chemical marker. In: Brewing
science Bd. 75, Carl (2022), Nr. 1/2, S. 1–8'
havard: I. Weishaupt, P. Neubauer, J. Schneider, Approach to an inline monitoring
of the heat impact in a high temperature short time treatment (HTST) of juice
with the help of a chemical marker, Brewing Science. 75 (2022) 1–8.
ieee: 'I. Weishaupt, P. Neubauer, and J. Schneider, “Approach to an inline monitoring
of the heat impact in a high temperature short time treatment (HTST) of juice
with the help of a chemical marker,” Brewing science, vol. 75, no. 1/2,
pp. 1–8, 2022, doi: 10.23763/BrSc21-20weishaupt.'
mla: Weishaupt, Imke, et al. “Approach to an Inline Monitoring of the Heat Impact
in a High Temperature Short Time Treatment (HTST) of Juice with the Help of a
Chemical Marker.” Brewing Science, vol. 75, no. 1/2, 2022, pp. 1–8, https://doi.org/10.23763/BrSc21-20weishaupt.
short: I. Weishaupt, P. Neubauer, J. Schneider, Brewing Science 75 (2022) 1–8.
ufg: 'Weishaupt, Imke/Neubauer, Peter/Schneider, Jan: Approach to an inline
monitoring of the heat impact in a high temperature short time treatment (HTST)
of juice with the help of a chemical marker, in: Brewing science 75 (2022),
H. 1/2, S. 1–8.'
van: Weishaupt I, Neubauer P, Schneider J. Approach to an inline monitoring of the
heat impact in a high temperature short time treatment (HTST) of juice with the
help of a chemical marker. Brewing science. 2022;75(1/2):1–8.
date_created: 2022-02-28T10:50:48Z
date_updated: 2026-03-12T11:52:14Z
department:
- _id: DEP4018
- _id: DEP1308
- _id: DEP4028
doi: 10.23763/BrSc21-20weishaupt
external_id:
isi:
- '000858906600001'
intvolume: ' 75'
isi: '1'
issue: 1/2
keyword:
- near infrared spectroscopy
- apple juice
- pasteurisation
- acid hydrolytic sucrose degradation
- inline measure-ment of heat input
- pasteurisation units
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.researchgate.net/publication/360806853_Approach_to_an_inline_monitoring_of_the_heat_impact_in_a_high_temperature_short_time_treatment_HTST_of_juice_with_the_help_of_a_chemical_marker
oa: '1'
page: 1-8
publication: Brewing science
publication_identifier:
eissn:
- 1613-2041
issn:
- '1866-5195 '
publication_status: published
publisher: Carl
status: public
title: Approach to an inline monitoring of the heat impact in a high temperature short
time treatment (HTST) of juice with the help of a chemical marker
type: journal_article
user_id: '83778'
volume: 75
year: '2022'
...
---
_id: '5425'
abstract:
- lang: eng
text: The feasibility of inline classification and characterization of seven fruit
juice varieties was investigated by the application of near-infrared spectroscopy
(NIRS) combined with chemometrics. The findings are intended to be used to optimize
the flash pasteurization of liquid foods. More precise information of the kind
of product in real time had to be achieved to enable a more product-specific process.
Using the method of partial least squares discriminant analysis, the fruit juice
varieties were classified, showing a classification rate of 100% regarding an
internal and 69% regarding an external test sets. A characterization by the extract
content, pH value, turbidity, and viscosity was made by fitting a partial least
squares regression model. The percentage prediction error of the pH value was
<3% for internal and external test sets, and for the Brix value prediction errors
were about 4% (internal) and 20% (external). The parameters viscosity and turbidity
were found to be unsuitable. Despite this, the strategy applied to gain more product-specific
information in real time showed to be feasible. By linking the results to a database
containing potentially harmful microorganisms for various types of fruit juices,
a more product-specific calculation of the necessary heat input can be performed.
To demonstrate the practical relevance, a comparison between conventional and
product-adapted process control was performed using two fruit varieties as examples
in case of Alicyclobacillus acidoterrestris. Thus, with more accurate product
information, achieved through the use of NIRS with chemometrics, a more precise
calculation of the heat input can be achieved.
author:
- first_name: Imke
full_name: Weishaupt, Imke
id: '58425'
last_name: Weishaupt
- first_name: Peter
full_name: Neubauer, Peter
last_name: Neubauer
- first_name: Jan
full_name: Schneider, Jan
id: '13209'
last_name: Schneider
orcid: 0000-0001-6401-8873
citation:
ama: Weishaupt I, Neubauer P, Schneider J. Near-infrared spectroscopy for the inline
classification and characterization of fruit juices for a product-customized flash
pasteurization. Food Science & Nutrition. 2022;10(3):800-812. doi: https://doi.org/10.1002/fsn3.2709
apa: Weishaupt, I., Neubauer, P., & Schneider, J. (2022). Near-infrared spectroscopy
for the inline classification and characterization of fruit juices for a product-customized
flash pasteurization. Food Science & Nutrition, 10(3), 800–812.
https://doi.org/
https://doi.org/10.1002/fsn3.2709
bjps: Weishaupt I, Neubauer P and Schneider J (2022) Near-Infrared Spectroscopy
for the Inline Classification and Characterization of Fruit Juices for a Product-Customized
Flash Pasteurization. Food Science & Nutrition 10, 800–812.
chicago: 'Weishaupt, Imke, Peter Neubauer, and Jan Schneider. “Near-Infrared Spectroscopy
for the Inline Classification and Characterization of Fruit Juices for a Product-Customized
Flash Pasteurization.” Food Science & Nutrition 10, no. 3 (2022): 800–812.
https://doi.org/
https://doi.org/10.1002/fsn3.2709.'
chicago-de: 'Weishaupt, Imke, Peter Neubauer und Jan Schneider. 2022. Near-infrared
spectroscopy for the inline classification and characterization of fruit juices
for a product-customized flash pasteurization. Food Science & Nutrition
10, Nr. 3: 800–812. doi:
https://doi.org/10.1002/fsn3.2709, .'
din1505-2-1: 'Weishaupt, Imke ; Neubauer, Peter ; Schneider,
Jan: Near-infrared spectroscopy for the inline classification and characterization
of fruit juices for a product-customized flash pasteurization. In: Food Science
& Nutrition Bd. 10, Wiley (2022), Nr. 3, S. 800–812'
havard: I. Weishaupt, P. Neubauer, J. Schneider, Near-infrared spectroscopy for
the inline classification and characterization of fruit juices for a product-customized
flash pasteurization, Food Science & Nutrition. 10 (2022) 800–812.
ieee: 'I. Weishaupt, P. Neubauer, and J. Schneider, “Near-infrared spectroscopy
for the inline classification and characterization of fruit juices for a product-customized
flash pasteurization,” Food Science & Nutrition, vol. 10, no. 3, pp.
800–812, 2022, doi:
https://doi.org/10.1002/fsn3.2709.'
mla: Weishaupt, Imke, et al. “Near-Infrared Spectroscopy for the Inline Classification
and Characterization of Fruit Juices for a Product-Customized Flash Pasteurization.”
Food Science & Nutrition, vol. 10, no. 3, 2022, pp. 800–12, https://doi.org/ https://doi.org/10.1002/fsn3.2709.
short: I. Weishaupt, P. Neubauer, J. Schneider, Food Science & Nutrition 10
(2022) 800–812.
ufg: 'Weishaupt, Imke/Neubauer, Peter/Schneider, Jan: Near-infrared spectroscopy
for the inline classification and characterization of fruit juices for a product-customized
flash pasteurization, in: Food Science & Nutrition 10 (2022), H. 3,
S. 800–812.'
van: Weishaupt I, Neubauer P, Schneider J. Near-infrared spectroscopy for the inline
classification and characterization of fruit juices for a product-customized flash
pasteurization. Food Science & Nutrition. 2022;10(3):800–12.
date_created: 2021-04-08T06:37:30Z
date_updated: 2025-06-26T13:32:36Z
department:
- _id: DEP4000
- _id: DEP1308
doi: ' https://doi.org/10.1002/fsn3.2709'
external_id:
isi:
- '000739093400001'
pmid:
- '35311170'
intvolume: ' 10'
isi: '1'
issue: '3'
keyword:
- flash pasteurization
- fruit juice characterization and classification
- inline near-infrared spectroscopy
- multivariate data analysis
language:
- iso: eng
page: 800-812
pmid: '1'
publication: Food Science & Nutrition
publication_identifier:
issn:
- 2048-7177
publication_status: published
publisher: Wiley
status: public
title: Near-infrared spectroscopy for the inline classification and characterization
of fruit juices for a product-customized flash pasteurization
type: journal_article
user_id: '83781'
volume: 10
year: '2022'
...
---
_id: '5424'
abstract:
- lang: eng
text: Near infrared spectroscopy in combination with a transflection probe was investigated
as inline measurement in a continuous flash pasteurizer system with a sugar-water
model solution. Robustness and reproducibility of fluctuations of recorded spectra
as well as trueness of the chemometric analysis were compared under different
process parameter settings. Variable parameters were the flow rate (from laminar
flow at 30 L/h to turbulent flow at 90 L/h), temperature (20 to 100 degrees C)
and the path length of the transflection probe (2 and 4 mm) while the pressure
was kept constant at 2.5 bar. Temperature and path length were identified as the
most affecting parameters, in case of homogenous test medium. In case of particle
containing systems, the flow rate could have an impact as well. However, the application
of a PLS model, which includes a broad temperature range, and the correction of
prediction results by applying a polynomial regression function for prediction
errors, was able to compensate these effects. Also, a path length of 2 mm leads
to a higher accuracy. The applied strategy shows that by the identification of
relevant process parameters and settings as well as the establishment of a compensation
strategy, near infrared spectroscopy is a powerful process analytical tool for
continuous flash pasteurization systems.
author:
- first_name: Imke
full_name: Weishaupt, Imke
id: '58425'
last_name: Weishaupt
- first_name: Manuel
full_name: Zimmer, Manuel
id: '71613'
last_name: Zimmer
orcid: 0000-0002-9974-2543
- first_name: Peter
full_name: Neubauer, Peter
last_name: Neubauer
- first_name: Jan
full_name: Schneider, Jan
id: '13209'
last_name: Schneider
orcid: 0000-0001-6401-8873
citation:
ama: Weishaupt I, Zimmer M, Neubauer P, Schneider J. Model based optimization of
transflection near infrared spectroscopy as a process analytical tool in a continuous
flash pasteurizer. Journal of Food Science. 2020;85(7):2020-2031. doi:10.1111/1750-3841.15307
apa: Weishaupt, I., Zimmer, M., Neubauer, P., & Schneider, J. (2020). Model
based optimization of transflection near infrared spectroscopy as a process analytical
tool in a continuous flash pasteurizer. Journal of Food Science, 85(7),
2020–2031. https://doi.org/10.1111/1750-3841.15307
bjps: Weishaupt I et al. (2020) Model Based Optimization of Transflection
near Infrared Spectroscopy as a Process Analytical Tool in a Continuous Flash
Pasteurizer. Journal of Food Science 85, 2020–2031.
chicago: 'Weishaupt, Imke, Manuel Zimmer, Peter Neubauer, and Jan Schneider. “Model
Based Optimization of Transflection near Infrared Spectroscopy as a Process Analytical
Tool in a Continuous Flash Pasteurizer.” Journal of Food Science 85, no.
7 (2020): 2020–31. https://doi.org/10.1111/1750-3841.15307.'
chicago-de: 'Weishaupt, Imke, Manuel Zimmer, Peter Neubauer und Jan Schneider. 2020.
Model based optimization of transflection near infrared spectroscopy as a process
analytical tool in a continuous flash pasteurizer. Journal of Food Science
85, Nr. 7: 2020–2031. doi:10.1111/1750-3841.15307,
.'
din1505-2-1: 'Weishaupt, Imke ; Zimmer, Manuel ; Neubauer,
Peter ; Schneider, Jan: Model
based optimization of transflection near infrared spectroscopy as a process analytical
tool in a continuous flash pasteurizer. In: Journal of Food Science Bd.
85 (2020), Nr. 7, S. 2020–2031'
havard: I. Weishaupt, M. Zimmer, P. Neubauer, J. Schneider, Model based optimization
of transflection near infrared spectroscopy as a process analytical tool in a
continuous flash pasteurizer, Journal of Food Science. 85 (2020) 2020–2031.
ieee: 'I. Weishaupt, M. Zimmer, P. Neubauer, and J. Schneider, “Model based optimization
of transflection near infrared spectroscopy as a process analytical tool in a
continuous flash pasteurizer,” Journal of Food Science, vol. 85, no. 7,
pp. 2020–2031, 2020, doi: 10.1111/1750-3841.15307.'
mla: Weishaupt, Imke, et al. “Model Based Optimization of Transflection near Infrared
Spectroscopy as a Process Analytical Tool in a Continuous Flash Pasteurizer.”
Journal of Food Science, vol. 85, no. 7, 2020, pp. 2020–31, https://doi.org/10.1111/1750-3841.15307.
short: I. Weishaupt, M. Zimmer, P. Neubauer, J. Schneider, Journal of Food Science
85 (2020) 2020–2031.
ufg: 'Weishaupt, Imke u. a.: Model based optimization of transflection near
infrared spectroscopy as a process analytical tool in a continuous flash pasteurizer,
in: Journal of Food Science 85 (2020), H. 7, S. 2020–2031.'
van: Weishaupt I, Zimmer M, Neubauer P, Schneider J. Model based optimization of
transflection near infrared spectroscopy as a process analytical tool in a continuous
flash pasteurizer. Journal of Food Science. 2020;85(7):2020–31.
date_created: 2021-04-08T06:37:30Z
date_updated: 2025-06-26T13:30:26Z
department:
- _id: DEP1308
- _id: DEP4018
doi: 10.1111/1750-3841.15307
external_id:
isi:
- '000543977000001'
pmid:
- '32602154'
intvolume: ' 85'
isi: '1'
issue: '7'
keyword:
- flash pasteurization
- inline near infrared spectroscopy
- multivariate data analysis
- process condition influences
- sugar-water-solution model beverage
language:
- iso: eng
page: 2020 - 2031
pmid: '1'
publication: Journal of Food Science
publication_identifier:
eissn:
- 1750-3841
isbn:
- 0022-1147
publication_status: published
status: public
title: Model based optimization of transflection near infrared spectroscopy as a process
analytical tool in a continuous flash pasteurizer
type: journal_article
user_id: '83781'
volume: 85
year: '2020'
...
---
_id: '734'
abstract:
- lang: eng
text: We report on investigations of platinum clusters with about five to 400 atoms
that are deposited from a cluster beam on to crystalline graphite surfaces. Scanning
tunneling spectroscopy in an UHV environment at liquid helium temperatures reveals
the existence of distinct peaks in the conductivity of the cluster-on-surface
system. For negative voltages, the peak separations scale with the inverse particle
height, which hints at a quantum size effect in these metallic “quantum dots”.
author:
- first_name: A.
full_name: Bettac, A.
last_name: Bettac
- first_name: Lars
full_name: Köller, Lars
id: '61649'
last_name: Köller
- first_name: V.
full_name: Rank, V.
last_name: Rank
- first_name: Karl-Heinz
full_name: Meiwes-Broer, Karl-Heinz
last_name: Meiwes-Broer
citation:
ama: 'Bettac A, Köller L, Rank V, Meiwes-Broer K-H. Scanning Tunneling Spectroscopy
on Deposited Platnium Clusters. Surface Science : a journal devoted to the
physics and chemistry of interfaces. 1998;402-404:475-479. doi:10.1016/S0039-6028(98)00028-4'
apa: 'Bettac, A., Köller, L., Rank, V., & Meiwes-Broer, K.-H. (1998). Scanning
Tunneling Spectroscopy on Deposited Platnium Clusters. Surface Science : A
Journal Devoted to the Physics and Chemistry of Interfaces, 402–404,
475–479. https://doi.org/10.1016/S0039-6028(98)00028-4'
bjps: 'Bettac A et al. (1998) Scanning Tunneling Spectroscopy on Deposited
Platnium Clusters. Surface Science : a journal devoted to the physics and chemistry
of interfaces 402–404, 475–479.'
chicago: 'Bettac, A., Lars Köller, V. Rank, and Karl-Heinz Meiwes-Broer. “Scanning
Tunneling Spectroscopy on Deposited Platnium Clusters.” Surface Science : A
Journal Devoted to the Physics and Chemistry of Interfaces 402–404 (1998):
475–79. https://doi.org/10.1016/S0039-6028(98)00028-4.'
chicago-de: 'Bettac, A., Lars Köller, V. Rank und Karl-Heinz Meiwes-Broer. 1998.
Scanning Tunneling Spectroscopy on Deposited Platnium Clusters. Surface Science :
a journal devoted to the physics and chemistry of interfaces 402–404: 475–479.
doi:10.1016/S0039-6028(98)00028-4,
.'
din1505-2-1: 'Bettac, A. ; Köller,
Lars ; Rank, V. ; Meiwes-Broer,
Karl-Heinz: Scanning Tunneling Spectroscopy on Deposited Platnium Clusters.
In: Surface Science : a journal devoted to the physics and chemistry of interfaces
Bd. 402–404. Amsterdam, Elsevier (1998), S. 475–479'
havard: 'A. Bettac, L. Köller, V. Rank, K.-H. Meiwes-Broer, Scanning Tunneling Spectroscopy
on Deposited Platnium Clusters, Surface Science : A Journal Devoted to the Physics
and Chemistry of Interfaces. 402–404 (1998) 475–479.'
ieee: 'A. Bettac, L. Köller, V. Rank, and K.-H. Meiwes-Broer, “Scanning Tunneling
Spectroscopy on Deposited Platnium Clusters,” Surface Science : a journal devoted
to the physics and chemistry of interfaces, vol. 402–404, pp. 475–479, 1998.'
mla: 'Bettac, A., et al. “Scanning Tunneling Spectroscopy on Deposited Platnium
Clusters.” Surface Science : A Journal Devoted to the Physics and Chemistry
of Interfaces, vol. 402–404, Elsevier, 1998, pp. 475–79, doi:10.1016/S0039-6028(98)00028-4.'
short: 'A. Bettac, L. Köller, V. Rank, K.-H. Meiwes-Broer, Surface Science : A Journal
Devoted to the Physics and Chemistry of Interfaces 402–404 (1998) 475–479.'
ufg: 'Bettac, A. et. al. (1998): Scanning Tunneling Spectroscopy on Deposited
Platnium Clusters, in: Surface Science : a journal devoted to the physics and
chemistry of interfaces 402–404, S. 475–479.'
van: 'Bettac A, Köller L, Rank V, Meiwes-Broer K-H. Scanning Tunneling Spectroscopy
on Deposited Platnium Clusters. Surface Science : a journal devoted to the physics
and chemistry of interfaces. 1998;402–404:475–9.'
date_created: 2019-03-14T08:43:59Z
date_updated: 2023-03-15T13:50:09Z
department:
- _id: DEP1100
doi: 10.1016/S0039-6028(98)00028-4
extern: '1'
keyword:
- Clusters
- Conductivity
- Platinum
- Quantum size effect
- Scanning tunneling
- spectroscopy
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.sciencedirect.com/science/article/pii/S0039602898000284?via%3Dihub
oa: '1'
page: 475-479
place: Amsterdam
publication: 'Surface Science : a journal devoted to the physics and chemistry of
interfaces'
publication_identifier:
issn:
- 0039-6028
publication_status: published
publisher: Elsevier
status: public
title: Scanning Tunneling Spectroscopy on Deposited Platnium Clusters
type: journal_article
user_id: '68554'
volume: 402-404
year: 1998
...