This dissertation is accessible only to the Illinois State University community.

  • Off-Campus ISU Users: To download this item, click the "Off-Campus Download" button below. You will be prompted to log in with your ISU ULID and password.
  • Non-ISU Users: Contact your library to request this item through interlibrary loan.

Graduation Term

Summer 2025

Degree Name

Master of Science (MS)

Department

School of Biological Sciences

Committee Chair

Thomas Hammond

Committee Member

Kyle Floyd

Committee Member

Kevin Edwards

Abstract

Propionibacterium freudenreichii is an important bacterium for numerous commercial production applications. P.freudenreichii is found in various Swiss-style cheeses and other dairy products, as it aids in the fermentation process. Propionic acid, acetic acid, probiotics, and B-vitamins are several of the commercially important by-products that can result from the several environment-dependent biochemical pathways of P. freudenreichii. Propionic acid commercial production is particularly dependent upon P. freudenreichii fermentation. However, relying upon organisms for commercial production is often unreliable and prone to unexpected results. One possible method to constrain the range of outcomes of fermen- tation production runs is to modify the growth media of P. freudenreichii. The Design of Experiments method is a statistical approach to reducing the complexity of an experiment when a full factoral approach is unfeasible. DoE is a promising approach for developing a new growth medium that increases the quantity of propionic acid per fermentation run.

Differing strains of P. freudenreichii are used for different types of production, e.g. propi- onic acid productions relies upon different strains than B-vitamin production. Some of these strains result from proprietary gene modification, but these mutations are difficult to main- tain after several generations. Traditional genetic profiling and genomic analysis is typically cost and time prohibitive in production settings. Newer techniques, such as basecalling, allow for rapid sequencing of bacterial genomes to determine whether genetic drift presents after several generations. Supermarkets provide excellent source material to test whether rapid genomic analysis is possible for identification and comparison of P. freudenreichii strains.

Access Type

Thesis-ISU Access Only

DOI

https://doi.org/10.30707/ETD.1763755358.885872

Available for download on Friday, September 10, 2027

Off-Campus Download

Share

COinS