scholarly journals Model-based design of transient flow experiments for the identification of kinetic parameters

2020 ◽  
Vol 5 (1) ◽  
pp. 112-123 ◽  
Author(s):  
Conor Waldron ◽  
Arun Pankajakshan ◽  
Marco Quaglio ◽  
Enhong Cao ◽  
Federico Galvanin ◽  
...  
Keyword(s):  
Design Of Experiments ◽  
Kinetic Parameters ◽  
Transient Flow ◽  
Model Based ◽  
Precise Estimation ◽  
Flow Experiments

Rapid and precise estimation of kinetic parameters is facilitated by transient flow experiments designed using model-based design of experiments.

scholarly journals An autonomous microreactor platform for the rapid identification of kinetic models

2019 ◽  
Vol 4 (9) ◽  
pp. 1623-1636 ◽  
Author(s):  
Conor Waldron ◽  
Arun Pankajakshan ◽  
Marco Quaglio ◽  
Enhong Cao ◽  
Federico Galvanin ◽  
...  
Keyword(s):  
Design Of Experiments ◽  
Kinetic Parameters ◽  
High Precision ◽  
Kinetic Models ◽  
Rapid Identification ◽  
Rapid Estimation ◽  
Model Based

Rapid estimation of kinetic parameters with high precision is facilitated by automation combined with online Model-Based Design of Experiments.

scholarly journals Variability in Estimated Modelled Insulin Secretion

2021 ◽  
pp. 193229682199112
Author(s):  
Jennifer J. Ormsbee ◽  
Hannah J. Burden ◽  
Jennifer L. Knopp ◽  
J. Geoffrey Chase ◽  
Rinki Murphy ◽  
...  
Keyword(s):  
Insulin Secretion ◽  
Kinetic Parameters ◽  
Pancreatic Beta Cells ◽  
Compartment Model ◽  
Interquartile Range ◽  
Cumulative Distribution ◽  
Model Framework ◽  
Intravenous Glucose ◽  
C Peptide ◽  
Model Based

Background: The ability to measure insulin secretion from pancreatic beta cells and monitor glucose-insulin physiology is vital to current health needs. C-peptide has been used successfully as a surrogate for plasma insulin concentration. Quantifying the expected variability of modelled insulin secretion will improve confidence in model estimates. Methods: Forty-three healthy adult males of Māori or Pacific peoples ancestry living in New Zealand participated in an frequently sampled, intravenous glucose tolerance test (FS-IVGTT) with an average age of 29 years and a BMI of 33 kg/m2. A 2-compartment model framework and standardized kinetic parameters were used to estimate endogenous pancreatic insulin secretion from plasma C-peptide measurements. Monte Carlo analysis (N = 10 000) was then used to independently vary parameters within ±2 standard deviations of the mean of each variable and the 5th and 95th percentiles determined the bounds of the expected range of insulin secretion. Cumulative distribution functions (CDFs) were calculated for each subject for area under the curve (AUC) total, AUC Phase 1, and AUC Phase 2. Normalizing each AUC by the participant’s median value over all N = 10 000 iterations quantifies the expected model-based variability in AUC. Results: Larger variation is found in subjects with a BMI > 30 kg/m2, where the interquartile range is 34.3% compared to subjects with a BMI ≤ 30 kg/m2 where the interquartile range is 24.7%. Conclusions: Use of C-peptide measurements using a 2-compartment model and standardized kinetic parameters, one can expect ~±15% variation in modelled insulin secretion estimates. The variation should be considered when applying this insulin secretion estimation method to clinical diagnostic thresholds and interpretation of model-based analyses such as insulin sensitivity.

Automated generation of photochemical reaction data by transient flow experiments coupled with online HPLC analysis

2020 ◽  
Vol 5 (5) ◽  
pp. 912-920
Author(s):  
Christian P. Haas ◽  
Simon Biesenroth ◽  
Stephan Buckenmaier ◽  
Tom van de Goor ◽  
Ulrich Tallarek
Keyword(s):  
Continuous Flow ◽  
Photochemical Reaction ◽  
Hplc Analysis ◽  
Transient Flow ◽  
Data Sets ◽  
Automated Generation ◽  
Reaction Data ◽  
Flow Experiments

Competing homo- and crossdimerization reactions between coumarin and 1-methyl-2-quinolinone are investigated by transient continuous-flow experiments combined with online HPLC, enabling the generation and acquisition of large reaction data sets.

scholarly journals Constrained model-based design of experiments for the identification of approximated models

2018 ◽  
Vol 51 (15) ◽  
pp. 515-520 ◽  
Author(s):  
Marco Quaglio ◽  
Eric S. Fraga ◽  
Federico Galvanin
Keyword(s):  
Design Of Experiments ◽  
Model Based ◽  
Constrained Model

Kinetic modelling of the photocatalytic inactivation of bacteria

2010 ◽  
Vol 61 (6) ◽  
pp. 1547-1553 ◽  
Author(s):  
Javier Marugán ◽  
Rafael van Grieken ◽  
Alberto E. Cassano ◽  
Orlando M. Alfano
Keyword(s):  
Kinetic Model ◽  
Kinetic Parameters ◽  
Catalyst Concentration ◽  
Kinetic Modelling ◽  
Kinetic Constant ◽  
Water Disinfection ◽  
Radiation Absorption ◽  
Simple Modification ◽  
Model Based ◽  
Photocatalytic Inactivation

This work analyzes the kinetic modelling of the photocatalytic inactivation of E. coli in water using different types of kinetic models; from an empirical equation to an intrinsic kinetic model including explicit radiation absorption effects. Simple empirical equations lead to lower fitting errors, but require a total of 12 parameters to reproduce the results of four inactivation curves when the catalyst concentration was increased. Moreover, these parameters have no physical meaning and cannot be extrapolated to different experimental conditions. The use of a pseudo-mechanistic model based on a simplified reaction mechanism reduces the number of required kinetic parameters to 6, being the kinetic constant the only parameter that depends on the catalyst concentration. Finally, a simple modification of a kinetic model based on the intrinsic mechanism of photocatalytic reactions including explicit radiation absorption effects achieved the fitting of all the experiments with only three parameters. The main advantage of this approach is that the kinetic parameters estimated for the model become independent of the irradiation form, as well as the reactor size and its geometrical configuration, providing the necessary information for scaling-up and design of commercial-scale photoreactors for water disinfection.

Sign in / Sign up

Export Citation Format

Share Document