Trichoderma koningiopsis fermentation in airlift bioreactor for bioherbicide production.

Saved in:
Bibliographic Details
Title: Trichoderma koningiopsis fermentation in airlift bioreactor for bioherbicide production.
Authors: Camargo, Aline Frumi1,2,3 (AUTHOR), Kubeneck, Simone2,3 (AUTHOR), Bonatto, Charline2,3 (AUTHOR), Bazoti, Suzana Fátima3,4 (AUTHOR), Nerling, Júlia Pieper2,3 (AUTHOR), Klein, Gabriel Henrique2,3 (AUTHOR), Michelon, William3,5 (AUTHOR), Alves Jr, Sérgio L.1,3,6 (AUTHOR), Mossi, Altemir José3,6 (AUTHOR), Fongaro, Gislaine1,3 (AUTHOR), Treichel, Helen1,2,3 (AUTHOR) helentreichel@gmail.com
Source: Bioprocess & Biosystems Engineering. May2024, Vol. 47 Issue 5, p651-663. 13p.
Subjects: Fermentation, Trichoderma, Germination, Herbicides, Laccase, Scientific community
Abstract: During scaling of fermentations, choosing a bioreactor is fundamental to ensure the product's quality. This study aims to produce bioherbicides using Trichoderma koningiopsis fermentation, evaluating process parameters in an Airlift bioreactor. As a response, we quantified the production of enzymes involved in the bioherbicide activity (amylase, cellulase, laccase, lipase, and peroxidase). In addition, it evaluated the agronomic efficiency of the fermented extract optimized through tests that promoted soybean growth and nodulation, soybean seed germination, and in vitro phytopathogen control. As a result of optimizing the scaling bioprocess, it was possible to obtain an adequate fermentation condition, which, when applied to soybean seeds, had beneficial effects on their growth. It allowed the production of an enzyme cocktail. These results add a crucial biotechnological potential factor for the success of the optimized formulation in the Airlift bioreactor, in addition to presenting relevant results for the scientific community. [ABSTRACT FROM AUTHOR]
Copyright of Bioprocess & Biosystems Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
Be the first to leave a comment!
You must be logged in first