An Efficient Experimental Design Strategy for Modelling and Characterization of Processes

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings – Annual report year: 2017Researchpeer-review

Standard

An Efficient Experimental Design Strategy for Modelling and Characterization of Processes. / Tajsoleiman, Tannaz; Semenova, Daria; Oliveira Fernandes, Ana Carolina; Huusom, Jakob Kjøbsted; Gernaey, Krist V.; Krühne, Ulrich.

Proceedings of the 27th European Symposium on Computer Aided Process Engineering (ESCAPE 27). ed. / Antonio Espuña; Moisès Graells; Luis Puigjaner. Vol. 40 1. ed. Elsevier, 2017. p. 2827-2832.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings – Annual report year: 2017Researchpeer-review

Harvard

Tajsoleiman, T, Semenova, D, Oliveira Fernandes, AC, Huusom, JK, Gernaey, KV & Krühne, U 2017, An Efficient Experimental Design Strategy for Modelling and Characterization of Processes. in A Espuña, M Graells & L Puigjaner (eds), Proceedings of the 27th European Symposium on Computer Aided Process Engineering (ESCAPE 27). 1 edn, vol. 40, Elsevier, pp. 2827-2832, 27th European Symposium on Computer Aided Process Engineering, Barcelona, Spain, 01/10/2017. https://doi.org/10.1016/B978-0-444-63965-3.50473-6

APA

Tajsoleiman, T., Semenova, D., Oliveira Fernandes, A. C., Huusom, J. K., Gernaey, K. V., & Krühne, U. (2017). An Efficient Experimental Design Strategy for Modelling and Characterization of Processes. In A. Espuña, M. Graells, & L. Puigjaner (Eds.), Proceedings of the 27th European Symposium on Computer Aided Process Engineering (ESCAPE 27) (1 ed., Vol. 40, pp. 2827-2832). Elsevier. https://doi.org/10.1016/B978-0-444-63965-3.50473-6

CBE

Tajsoleiman T, Semenova D, Oliveira Fernandes AC, Huusom JK, Gernaey KV, Krühne U. 2017. An Efficient Experimental Design Strategy for Modelling and Characterization of Processes. Espuña A, Graells M, Puigjaner L, editors. In Proceedings of the 27th European Symposium on Computer Aided Process Engineering (ESCAPE 27). 1 ed. Elsevier. pp. 2827-2832. https://doi.org/10.1016/B978-0-444-63965-3.50473-6

MLA

Tajsoleiman, Tannaz et al. "An Efficient Experimental Design Strategy for Modelling and Characterization of Processes"., Espuña, Antonio Graells, Moisès Puigjaner, Luis (editors). Proceedings of the 27th European Symposium on Computer Aided Process Engineering (ESCAPE 27). 1 udg., Elsevier. 2017, 2827-2832. https://doi.org/10.1016/B978-0-444-63965-3.50473-6

Vancouver

Tajsoleiman T, Semenova D, Oliveira Fernandes AC, Huusom JK, Gernaey KV, Krühne U. An Efficient Experimental Design Strategy for Modelling and Characterization of Processes. In Espuña A, Graells M, Puigjaner L, editors, Proceedings of the 27th European Symposium on Computer Aided Process Engineering (ESCAPE 27). 1 ed. Vol. 40. Elsevier. 2017. p. 2827-2832 https://doi.org/10.1016/B978-0-444-63965-3.50473-6

Author

Tajsoleiman, Tannaz ; Semenova, Daria ; Oliveira Fernandes, Ana Carolina ; Huusom, Jakob Kjøbsted ; Gernaey, Krist V. ; Krühne, Ulrich. / An Efficient Experimental Design Strategy for Modelling and Characterization of Processes. Proceedings of the 27th European Symposium on Computer Aided Process Engineering (ESCAPE 27). editor / Antonio Espuña ; Moisès Graells ; Luis Puigjaner. Vol. 40 1. ed. Elsevier, 2017. pp. 2827-2832

Bibtex

@inproceedings{3eea642449d5422ab6f725ec9e7da0b8,
title = "An Efficient Experimental Design Strategy for Modelling and Characterization of Processes",
abstract = "Designing robust, efficient and economic processes is a main challenge for the biotech industries. To achieve a well-designed bioprocess, understanding the ongoing phenomena and the involved reaction kinetics is crucial. By development of advanced miniaturized reactors, a promising opportunity arises for parallel screening of multiple processes in reduced volumes within high throughput platforms. However, the level of accessible information from each set of experimental design remains to be one of the main issues particularly in the case of complex biosystems. This work introduces a novel generic Model-based Design of Experiments (M-DoE) routine with its main target being model development and system characterization. With the new M-DoE strategy, an improved set of informative experiments are suggested, which consequently reduces the demand for physical resources and analysis. The routine proposes a set of optimum experimental settings to support structural model definition, kinetic order estimation and parameter estimation during a model building procedure and process characterization.",
keywords = "Model based Design of Experiments, Parallel experimental design, Model development, Electrochemical biosensor characterization",
author = "Tannaz Tajsoleiman and Daria Semenova and {Oliveira Fernandes}, {Ana Carolina} and Huusom, {Jakob Kj{\o}bsted} and Gernaey, {Krist V.} and Ulrich Kr{\"u}hne",
year = "2017",
doi = "10.1016/B978-0-444-63965-3.50473-6",
language = "English",
isbn = "9780444639653",
volume = "40",
pages = "2827--2832",
editor = "Espu{\~n}a, {Antonio } and Graells, {Mois{\`e}s } and Luis Puigjaner",
booktitle = "Proceedings of the 27th European Symposium on Computer Aided Process Engineering (ESCAPE 27)",
publisher = "Elsevier",
address = "United Kingdom",
edition = "1",

}

RIS

TY - GEN

T1 - An Efficient Experimental Design Strategy for Modelling and Characterization of Processes

AU - Tajsoleiman, Tannaz

AU - Semenova, Daria

AU - Oliveira Fernandes, Ana Carolina

AU - Huusom, Jakob Kjøbsted

AU - Gernaey, Krist V.

AU - Krühne, Ulrich

PY - 2017

Y1 - 2017

N2 - Designing robust, efficient and economic processes is a main challenge for the biotech industries. To achieve a well-designed bioprocess, understanding the ongoing phenomena and the involved reaction kinetics is crucial. By development of advanced miniaturized reactors, a promising opportunity arises for parallel screening of multiple processes in reduced volumes within high throughput platforms. However, the level of accessible information from each set of experimental design remains to be one of the main issues particularly in the case of complex biosystems. This work introduces a novel generic Model-based Design of Experiments (M-DoE) routine with its main target being model development and system characterization. With the new M-DoE strategy, an improved set of informative experiments are suggested, which consequently reduces the demand for physical resources and analysis. The routine proposes a set of optimum experimental settings to support structural model definition, kinetic order estimation and parameter estimation during a model building procedure and process characterization.

AB - Designing robust, efficient and economic processes is a main challenge for the biotech industries. To achieve a well-designed bioprocess, understanding the ongoing phenomena and the involved reaction kinetics is crucial. By development of advanced miniaturized reactors, a promising opportunity arises for parallel screening of multiple processes in reduced volumes within high throughput platforms. However, the level of accessible information from each set of experimental design remains to be one of the main issues particularly in the case of complex biosystems. This work introduces a novel generic Model-based Design of Experiments (M-DoE) routine with its main target being model development and system characterization. With the new M-DoE strategy, an improved set of informative experiments are suggested, which consequently reduces the demand for physical resources and analysis. The routine proposes a set of optimum experimental settings to support structural model definition, kinetic order estimation and parameter estimation during a model building procedure and process characterization.

KW - Model based Design of Experiments

KW - Parallel experimental design

KW - Model development

KW - Electrochemical biosensor characterization

U2 - 10.1016/B978-0-444-63965-3.50473-6

DO - 10.1016/B978-0-444-63965-3.50473-6

M3 - Article in proceedings

SN - 9780444639653

VL - 40

SP - 2827

EP - 2832

BT - Proceedings of the 27th European Symposium on Computer Aided Process Engineering (ESCAPE 27)

A2 - Espuña, Antonio

A2 - Graells, Moisès

A2 - Puigjaner, Luis

PB - Elsevier

ER -