4.6 Article

Bayesian optimization using multiple directional objective functions allows the rapid inverse fitting of parameters for chromatography simulations

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Biochemical Research Methods

Advanced score system and automated search strategies for parameter estimation in mechanistic chromatography modeling

William Heymann et al.

Summary: Least squares estimation is a standard method in chromatography modeling but can have disadvantages; matching shape between simulated and measured chromatograms is more crucial than exact peak positions; a new score system is introduced to separately consider shape, position, and height of individual peaks, optimized using genetic algorithms.

JOURNAL OF CHROMATOGRAPHY A (2022)

Article Biochemical Research Methods

Spherical nanoparticles can be used as non-penetrating tracers to determine the extra-particle void volume in packe d-b e d chromatography columns

K. Frank et al.

Summary: Optimizing downstream processing in silico can accelerate bioprocess development by limiting experiments to the most promising separation conditions identified using chromatography models. The study characterized and minimized interactions of novel hard-sphere non-penetrating tracers with a model resin and determined corresponding inter-particle porosities.

JOURNAL OF CHROMATOGRAPHY A (2022)

Article Biochemical Research Methods

Precision analysis for the determination of steric mass action parameters using eight tobacco host cell proteins

C. R. Bernau et al.

Summary: Plants are advantageous for biopharmaceutical manufacturing due to their economic and scalable production of proteins. However, downstream processing can be labor-intensive due to mixing with host cell proteins. Chromatographic modeling, specifically the SMA model, is crucial for minimizing process development experiments and costs.

JOURNAL OF CHROMATOGRAPHY A (2021)

Article Biochemical Research Methods

SciPy 1.0: fundamental algorithms for scientific computing in Python

Pauli Virtanen et al.

NATURE METHODS (2020)

Article Computer Science, Interdisciplinary Applications

A Python surrogate modeling framework with derivatives

Mohamed Amine Bouhlel et al.

ADVANCES IN ENGINEERING SOFTWARE (2019)

Article Multidisciplinary Sciences

Activated Cross-linked Agarose for the Rapid Development of Affinity Chromatography Resins - Antibody Capture as a Case Study

Matthias Knoedler et al.

JOVE-JOURNAL OF VISUALIZED EXPERIMENTS (2019)

Article Computer Science, Interdisciplinary Applications

Chromatography Analysis and Design Toolkit (CADET)

Samuel Leweke et al.

COMPUTERS & CHEMICAL ENGINEERING (2018)

Article Engineering, Chemical

Utilizing algorithmic differentiation to efficiently compute chromatograms and parameter sensitivities

Andreas Puettmann et al.

CHEMICAL ENGINEERING SCIENCE (2016)

Article Biochemical Research Methods

Water on hydrophobic surfaces: Mechanistic modeling of hydrophobic interaction chromatography

Gang Wang et al.

JOURNAL OF CHROMATOGRAPHY A (2016)

Article Biochemical Research Methods

Model based adaptive control of a continuous capture process for monoclonal antibodies production

Fabian Steinebach et al.

JOURNAL OF CHROMATOGRAPHY A (2016)

Article Computer Science, Interdisciplinary Applications

Fast and accurate parameter sensitivities for the general rate model of column liquid chromatography

Andreas Puettmann et al.

COMPUTERS & CHEMICAL ENGINEERING (2013)

Article Computer Science, Interdisciplinary Applications

A fast and accurate solver for the general rate model of column liquid chromatography

Eric von Lieres et al.

COMPUTERS & CHEMICAL ENGINEERING (2010)

Article Operations Research & Management Science

A taxonomy of global optimization methods based on response surfaces

DR Jones

JOURNAL OF GLOBAL OPTIMIZATION (2001)