Literature DB >> 24606333

Population balance modeling: current status and future prospects.

Doraiswami Ramkrishna1, Meenesh R Singh.   

Abstract

Population balance modeling is undergoing phenomenal growth in its applications, and this growth is accompanied by multifarious reviews. This review aims to fortify the model's fundamental base, as well as point to a variety of new applications, including modeling of crystal morphology, cell growth and differentiation, gene regulatory processes, and transfer of drug resistance. This is accomplished by presenting the many faces of population balance equations that arise in the foregoing applications.

Keywords:  biofilm growth; crystal morphology; gene regulatory processes; personalized medicine; stem cell differentiation; stochastic internal coordinates

Mesh:

Year:  2014        PMID: 24606333     DOI: 10.1146/annurev-chembioeng-060713-040241

Source DB:  PubMed          Journal:  Annu Rev Chem Biomol Eng        ISSN: 1947-5438            Impact factor:   11.059


  9 in total

Review 1.  Estimation methods for heterogeneous cell population models in systems biology.

Authors:  Steffen Waldherr
Journal:  J R Soc Interface       Date:  2018-10-31       Impact factor: 4.118

2.  Study of the Fluidized Separation Process of Irregular Coarse-Grained Pulverized Coal Agglomerates Based on Modified Computational Fluid Dynamics-Population Balance Method.

Authors:  Jianxiang Zheng; Jiacheng Lu; Chenmin Ma; Tai Lv; Hongbo Lu
Journal:  ACS Omega       Date:  2022-06-15

3.  Persistent nucleation and size dependent attachment kinetics produce monodisperse PbS nanocrystals.

Authors:  Benjamin Abécassis; Matthew W Greenberg; Vivekananda Bal; Brandon M McMurtry; Michael P Campos; Lilian Guillemeney; Benoit Mahler; Sylvain Prevost; Lewis Sharpnack; Mark P Hendricks; Daniel DeRosha; Ellie Bennett; Natalie Saenz; Baron Peters; Jonathan S Owen
Journal:  Chem Sci       Date:  2022-03-30       Impact factor: 9.969

4.  Solvent fluctuations in the solvation shell determine the activation barrier for crystal growth rates.

Authors:  Anish V Dighe; Meenesh R Singh
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-11       Impact factor: 11.205

5.  Modelling of amorphous cellulose depolymerisation by cellulases, parametric studies and optimisation.

Authors:  Hongxing Niu; Nilay Shah; Cleo Kontoravdi
Journal:  Biochem Eng J       Date:  2016-01-15       Impact factor: 3.978

6.  Model-based approach for predicting the impact of genetic modifications on product yield in biopharmaceutical manufacturing-Application to influenza vaccine production.

Authors:  Stefanie Duvigneau; Robert Dürr; Tanja Laske; Mandy Bachmann; Melanie Dostert; Achim Kienle
Journal:  PLoS Comput Biol       Date:  2020-06-29       Impact factor: 4.475

7.  Stochastic reaction networks in dynamic compartment populations.

Authors:  Lorenzo Duso; Christoph Zechner
Journal:  Proc Natl Acad Sci U S A       Date:  2020-08-31       Impact factor: 11.205

Review 8.  Heterogeneity in Pure Microbial Systems: Experimental Measurements and Modeling.

Authors:  Rebeca González-Cabaleiro; Anca M Mitchell; Wendy Smith; Anil Wipat; Irina D Ofiţeru
Journal:  Front Microbiol       Date:  2017-09-20       Impact factor: 5.640

9.  A Hybrid Model to Predict Formulation Dependent Granule Growth in a Bi-Component Wet Granulation Process.

Authors:  Indu Muthancheri; Rohit Ramachandran
Journal:  Pharmaceutics       Date:  2021-12-02       Impact factor: 6.321

  9 in total

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