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"Optimization of process parameters with frozen conidia based inoculum in a scale-up model using Response Surface Methodology"

Kandukuri, Venkata Aditya LU (2024) KBTM01 20241
Biotechnology (MSc)
Biotechnology (M.Sc.Eng.)
Abstract
Fed aquaculture is a necessary practice to meet the seafood requirements of a growing population in a sustainable manner. There is a high demand for fish feed to meet the rising protein requirements of the industry. Currently, fish feeds are either unsustainable, affected by seasonal variations, lack a complete amino acid profile, lack scalability, or are too expensive. Single Cell Protein (SCP) is a suitable protein alternative that can be produced on waste streams. Spent Sulfite Liquor (SSL) is one such waste stream produced by the Pulp and Paper Industry. The large-scale production of Paecilomyces variotii, a widely known SCP on SSL for animal feed, is a well-documented practice. This study focuses on selecting a medium with a suitable... (More)
Fed aquaculture is a necessary practice to meet the seafood requirements of a growing population in a sustainable manner. There is a high demand for fish feed to meet the rising protein requirements of the industry. Currently, fish feeds are either unsustainable, affected by seasonal variations, lack a complete amino acid profile, lack scalability, or are too expensive. Single Cell Protein (SCP) is a suitable protein alternative that can be produced on waste streams. Spent Sulfite Liquor (SSL) is one such waste stream produced by the Pulp and Paper Industry. The large-scale production of Paecilomyces variotii, a widely known SCP on SSL for animal feed, is a well-documented practice. This study focuses on selecting a medium with a suitable C:N ratio to produce vital frozen conidial inoculum for large scale production and optimizing process parameters to minimize germination time using the frozen conidial inoculum. The findings from these experiments were tested at a larger scale. Sporulation media 3 (SM3) with a C:N ratio of 30:1 was found to be the medium that produced the highest number of vital conidia after freezing. Optimization tests using the SSL feedstock concluded, faster germination occurred at lower production temperatures, and higher pH. A scale-up production was performed in a 20L reactor, using frozen inoculum, at optimized conditions, followed by a chromatographic analysis that yielded a monosaccharide consumption profile, organic acid profile, and fermentation respiration profile. Challenges faced in this study, and future scope of the frozen inoculum, and upscale production using this optimization model are later discussed. (Less)
Popular Abstract
This is a page from a book that teaches you to become the best fisherman in the world. Let’s see what it has to say.
Fish is a finite resource and can be exploited. Fortunately, fish can be grown in enclosed fish farms. With depleting wild stocks of fish, fish farms need to produce much more to meet the fish demands from the public. Just like other organisms, fish need proteins to grow, and more fish would mean increased protein requirements. Here is a problem, all the protein sources currently used to feed fish are either unsustainable, not as efficient at providing all amino acids, cannot be produced in large quantities, or are too expensive. Some microorganisms like filamentous fungi, contain high quantities of protein (40-60%) and are... (More)
This is a page from a book that teaches you to become the best fisherman in the world. Let’s see what it has to say.
Fish is a finite resource and can be exploited. Fortunately, fish can be grown in enclosed fish farms. With depleting wild stocks of fish, fish farms need to produce much more to meet the fish demands from the public. Just like other organisms, fish need proteins to grow, and more fish would mean increased protein requirements. Here is a problem, all the protein sources currently used to feed fish are either unsustainable, not as efficient at providing all amino acids, cannot be produced in large quantities, or are too expensive. Some microorganisms like filamentous fungi, contain high quantities of protein (40-60%) and are called Single Cell Protein (SCP). One such fungus, Paecilomyces variotii can be used as a source of protein in fish feed. But most importantly, like most fungi, this organism can extract nutrients from waste materials. One such waste stream is produced from the paper industry, while separating fibers in wood from the glue that keeps the fibers together. This waste stream contains many sugars that can be consumed by the fungus, which can be harvested, dried and used as fish feed protein alternatives.
In this study, we tried to identify the best way to produce the highest amount of conidia (fungal seeds), and if the conidia produced in this manner can survive freezing. This was done to save time and effort when producing fish feed at a larger scale, apart from other logistical benefits. We also ran optimization experiments to see how slow/fast fungi grow from the frozen conidia in different process conditions (like temperature and pH) to see the impact of process conditions on fungal growth. Apart from fungal growth the process conditions affect the cost of production. Finally, the experimental conditions with fastest conidia growth were selected for a larger volume production to test the results.
Results showed that SM3 was the most capable of producing the highest conidia concentration that survived the freezing procedure and grew the fastest at low temperature and high pH. These results will help arrive at more accurate conclusions by repeating these experiments to check for reproducibility of results, and approach maximum efficiency. Then we could scale up and follow the same steps. In such a manner, we could achieve efficient large-scale production of P. variotii based SCP that could lead to cheaper fish feed. (Less)
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author
Kandukuri, Venkata Aditya LU
supervisor
organization
course
KBTM01 20241
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Biotechnology, Conidia Concentration, Frozen Vitality, Germination Time, Temperature, pH
language
English
id
9161345
date added to LUP
2024-06-12 09:31:05
date last changed
2024-06-12 09:31:05
@misc{9161345,
  abstract     = {{Fed aquaculture is a necessary practice to meet the seafood requirements of a growing population in a sustainable manner. There is a high demand for fish feed to meet the rising protein requirements of the industry. Currently, fish feeds are either unsustainable, affected by seasonal variations, lack a complete amino acid profile, lack scalability, or are too expensive. Single Cell Protein (SCP) is a suitable protein alternative that can be produced on waste streams. Spent Sulfite Liquor (SSL) is one such waste stream produced by the Pulp and Paper Industry. The large-scale production of Paecilomyces variotii, a widely known SCP on SSL for animal feed, is a well-documented practice. This study focuses on selecting a medium with a suitable C:N ratio to produce vital frozen conidial inoculum for large scale production and optimizing process parameters to minimize germination time using the frozen conidial inoculum. The findings from these experiments were tested at a larger scale. Sporulation media 3 (SM3) with a C:N ratio of 30:1 was found to be the medium that produced the highest number of vital conidia after freezing. Optimization tests using the SSL feedstock concluded, faster germination occurred at lower production temperatures, and higher pH. A scale-up production was performed in a 20L reactor, using frozen inoculum, at optimized conditions, followed by a chromatographic analysis that yielded a monosaccharide consumption profile, organic acid profile, and fermentation respiration profile. Challenges faced in this study, and future scope of the frozen inoculum, and upscale production using this optimization model are later discussed.}},
  author       = {{Kandukuri, Venkata Aditya}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{"Optimization of process parameters with frozen conidia based inoculum in a scale-up model using Response Surface Methodology"}},
  year         = {{2024}},
}