Next Article in Journal
Antibody-Drug Conjugates for Cancer Therapy: Chemistry to Clinical Implications
Next Article in Special Issue
Enhancing Whole Phage Therapy and Their Derived Antimicrobial Enzymes through Complex Formulation
Previous Article in Journal
Comparison Study of Two Differently Clicked 18F-Folates—Lipophilicity Plays a Key Role
Previous Article in Special Issue
Semi-Solid and Solid Dosage Forms for the Delivery of Phage Therapy to Epithelia
Open AccessCommunication

Computational Modelling of Large Scale Phage Production Using a Two-Stage Batch Process

Department of Chemical Engineering, The University of Melbourne, Parkville 3010, Australia
The Bio21 Institute, 30 Flemington Rd, The University of Melbourne, Parkville 3052, Australia
Author to whom correspondence should be addressed.
Pharmaceuticals 2018, 11(2), 31;
Received: 5 January 2018 / Revised: 5 March 2018 / Accepted: 27 March 2018 / Published: 8 April 2018
(This article belongs to the Special Issue Phage Therapy and Phage-Mediated Biological Control)
Cost effective and scalable methods for phage production are required to meet an increasing demand for phage, as an alternative to antibiotics. Computational models can assist the optimization of such production processes. A model is developed here that can simulate the dynamics of phage population growth and production in a two-stage, self-cycling process. The model incorporates variable infection parameters as a function of bacterial growth rate and employs ordinary differential equations, allowing application to a setup with multiple reactors. The model provides simple cost estimates as a function of key operational parameters including substrate concentration, feed volume and cycling times. For the phage and bacteria pairing examined, costs and productivity varied by three orders of magnitude, with the lowest cost found to be most sensitive to the influent substrate concentration and low level setting in the first vessel. An example case study of phage production is also presented, showing how parameter values affect the production costs and estimating production times. The approach presented is flexible and can be used to optimize phage production at laboratory or factory scale by minimizing costs or maximizing productivity. View Full-Text
Keywords: phage production; modelling; population dynamics phage production; modelling; population dynamics
Show Figures

Figure 1

MDPI and ACS Style

Krysiak-Baltyn, K.; Martin, G.J.O.; Gras, S.L. Computational Modelling of Large Scale Phage Production Using a Two-Stage Batch Process. Pharmaceuticals 2018, 11, 31.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop