Microbial Production of Polyhydroxyalkanoate (PHA) from Different Carbon Sources
You have conducted a small-scale pilot study to assess analyse PHA production of the bacteria Cupriavidus necator. You will study the effects of using three different carbon sources for the fermentation: two refined simple sugars – Glucose and Fructose, and one less refined carbon source – Molasses (containing a mixture of sugars). The aim is to identify what carbon source is most suitable before you scale-up the production to large 270 L bioreactors.
Microbial Production Of Polyhydroxyalkanoate (Pha) From Different Carbon Sources
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Introduction
Conventional plastics has of late being glorified as the best plastic. Its production which utilizes Polyhydroxyalkanoates (PHA), polymers produced by microorganisms has been identified as the best alternative to production process and the companies are trying to learn a way to make it much better effective. With the rise in awareness of the environmental safety of the plastics that are manufactured with petroleum-based plastics, this has been identified as a cost-effective way to product plastics.
This experiment seeks to explain the efficiency of production of the PHA as contributed to the use of multiple carbon sources. In this case the carbon sources are Glucose, Fructose and Molasses. The compatibility of the PHA and the efficiency it offers to the modern world is more attached to the steps the world is making towards achieving a safe and better environment (Sehgal & Gupta, 2020).
The choice of the source of carbon significantly affects the level of production. This experiment helps to make deduction on what is the best source of carbon among the three sources as mentioned above. Using the experiment results, a report will be generated for the best source of carbon to use, the most cost effective and the safest one in relation to the environment. The experiment takes a deeper dive in the process of addressing plastic pollution that has been outlined to be the cruelest attack to our surroundings (Vizcaino-Caston et al, 2016). The insights from the experiment will also help navigate the cost dilemma that many p