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pH Scale02:41

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Hydronium and hydroxide ions are present both in pure water and in all aqueous solutions, and their concentrations are inversely proportional as determined by the ion product of water (Kw). The concentrations of these ions in a solution are often critical determinants of the solution’s properties and the chemical behaviors of its other solutes. Two different solutions can differ in their hydronium or hydroxide ion concentrations by a million, billion, or even trillion times. A common means of...
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Steps in the Modeling Process01:14

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Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
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Scaling01:26

Scaling

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In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
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Stages of Infection01:26

Stages of Infection

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Stages of infection describe what happens to a susceptible host once a pathogen invades the human body. The stages of infection are incubation, prodromal, illness, stage of decline, and convalescence. The incubation stage is the period from exposure to a pathogen until symptoms start. The infected person is unaware of impending illness as the pathogens grow and multiply within the body. The duration may vary depending on the type of infection. The incubation period of measles averages ten to...
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Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Stages of Sleep01:22

Stages of Sleep

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Sleep progresses through distinct stages, each characterized by specific brain wave patterns and physiological responses ranging from wakefulness to stages of non-rapid eye movement, known as non-REM, to rapid eye movement, referred to as REM. Understanding these stages helps in recognizing how sleep supports various bodily and cognitive functions.
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Related Experiment Video

Updated: Feb 12, 2026

Batch Immunostaining for Large-Scale Protein Detection in the Whole Monkey Brain
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Batch Immunostaining for Large-Scale Protein Detection in the Whole Monkey Brain

Published on: July 27, 2009

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

Konrad Krysiak-Baltyn1,2, Gregory J O Martin3, Sally L Gras4

  • 1Department of Chemical Engineering, The University of Melbourne, Parkville 3010, Australia. konrad.krysiak@unimelb.edu.au.

Pharmaceuticals (Basel, Switzerland)
|April 13, 2018
PubMed
Summary
This summary is machine-generated.

Developing cost-effective phage production methods is crucial. A new computational model optimizes phage yields in a two-stage process, estimating costs and productivity based on operational parameters for scalable applications.

Keywords:
modellingphage productionpopulation dynamics

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Area of Science:

  • Biotechnology
  • Computational Biology
  • Microbial Engineering

Background:

  • Phage therapy presents a promising alternative to antibiotics, necessitating scalable and cost-effective production methods.
  • Optimization of phage production processes is essential to meet growing demand and ensure therapeutic viability.

Purpose of the Study:

  • To develop and present a computational model for simulating phage population dynamics and production in a two-stage, self-cycling system.
  • To estimate production costs based on key operational parameters and identify factors influencing cost-effectiveness.

Main Methods:

  • Utilized ordinary differential equations to model phage and bacterial growth dynamics.
  • Incorporated variable infection parameters dependent on bacterial growth rate.
  • Developed a model to simulate a two-stage, self-cycling production process with multiple reactors.

Main Results:

  • The model demonstrated that phage production costs and productivity can vary by three orders of magnitude.
  • Identified influent substrate concentration and vessel level settings as critical factors for minimizing production costs.
  • Presented a case study illustrating the impact of parameter values on production costs and timelines.

Conclusions:

  • The developed computational model offers a flexible approach for optimizing phage production at various scales.
  • This tool can aid in minimizing costs or maximizing productivity in both laboratory and industrial settings.
  • The model supports the advancement of phage as a viable alternative to antibiotics through efficient production strategies.