An efficient approach to bioconversion kinetic model generation based on automated microscale experimentation integrated with model driven experimental design

2009 ◽  
Vol 64 (2) ◽  
pp. 403-409 ◽  
Author(s):  
B.H. Chen ◽  
M. Micheletti ◽  
F. Baganz ◽  
J.M. Woodley ◽  
G.J. Lye
Keyword(s):  
Experimental Design ◽  
Kinetic Model ◽  
Model Generation ◽  
Efficient Approach ◽  
Model Driven

scholarly journals Accelerating Kinetic Parameter Identification by Extracting Information from Transient Data: A Hydroprocessing Study Case

Catalysts ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 361
Author(s):  
Ngoc-Yen-Phuong Cao ◽  
Benoit Celse ◽  
Denis Guillaume ◽  
Isabelle Guibard ◽  
Joris W. Thybaut
Keyword(s):  
Steady State ◽  
Experimental Design ◽  
Kinetic Model ◽  
Kinetic Modeling ◽  
Sufficient Data ◽  
Design Algorithm ◽  
State Data ◽  
Transient Data ◽  
Study Case ◽  
The One

Hydroprocessing reactions require several days to reach steady-state, leading to long experimentation times for collecting sufficient data for kinetic modeling purposes. The information contained in the transient data during the evolution toward the steady-state is, at present, not used for kinetic modeling since the stabilization behavior is not well understood. The present work aims at accelerating kinetic model construction by employing these transient data, provided that the stabilization can be adequately accounted for. A comparison between the model obtained against the steady-state data and the one after accounting for the transient information was carried out. It was demonstrated that by accounting for the stabilization, combined with an experimental design algorithm, a more robust and faster manner was obtained to identify kinetic parameters, which saves time and cost. An application was presented in hydrodenitrogenation, but the proposed methodology can be extended to any hydroprocessing reaction.

scholarly journals Implementation of Stereochemistry in Automatic Kinetic Model Generation

2016 ◽  
Vol 48 (12) ◽  
pp. 755-769 ◽  
Author(s):  
Nick M. Vandewiele ◽  
Ruben Van De Vijver ◽  
Hans-Heinrich Carstensen ◽  
Kevin M. Van Geem ◽  
Marie-Françoise Reyniers ◽  
...  
Keyword(s):  
Kinetic Model ◽  
Model Generation

Mean first-passage time of a bistable kinetic model driven by cross-correlated noises

1999 ◽  
Vol 59 (4) ◽  
pp. 3880-3883 ◽  
Author(s):  
Dongcheng Mei ◽  
Guangzhong Xie ◽  
Li Cao ◽  
Dajin Wu
Keyword(s):  
Kinetic Model ◽  
First Passage Time ◽  
Passage Time ◽  
Mean First Passage Time ◽  
First Passage ◽  
Model Driven ◽  
Correlated Noises

scholarly journals Rapid multistep kinetic model generation from transient flow data

2017 ◽  
Vol 2 (2) ◽  
pp. 103-108 ◽  
Author(s):  
Christopher A. Hone ◽  
Nicholas Holmes ◽  
Geoffrey R. Akien ◽  
Richard A. Bourne ◽  
Frans L. Muller
Keyword(s):  
Kinetic Model ◽  
Kinetic Parameters ◽  
Transient Flow ◽  
Accurate Estimation ◽  
Model Generation ◽  
Flow Data

SNAr reaction profiles were generated using an automated reactor, collected in less than 3 hours, and allowed accurate estimation of kinetic parameters.

Tracer kinetic model–driven registration for dynamic contrast-enhanced MRI time-series data

2007 ◽  
Vol 58 (5) ◽  
pp. 1010-1019 ◽  
Author(s):  
Giovanni A. Buonaccorsi ◽  
James P.B. O'Connor ◽  
Angela Caunce ◽  
Caleb Roberts ◽  
Sue Cheung ◽  
...  
Keyword(s):  
Time Series ◽  
Kinetic Model ◽  
Time Series Data ◽  
Series Data ◽  
Dynamic Contrast Enhanced Mri ◽  
Model Driven ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Tracer Kinetic ◽  
Contrast Enhanced Mri
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