This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
Research Article
Gabriela Dominguez
Universidad de Alcala de Henares
Corresponding Author
ORCiD: https://orcid.org/0000-0001-7358-0913
License:
This work is licensed under a CC BY 4.0 License. Read Full License
This study used Orthogonal Projections to Latent Structures-Discriminant Analysis (OPLS-DA) to identify and optimize the combined effect of the temperature, fermentation time, substrate-type, and fermenting microorganism on solid-state fermentation (SSF) culture of different agricultural wastes, in order to evidence the interactions among variables that allow maximizing the production of each enzyme. Thus, barley and wheat straw were fermented using two Streptomyces strains (S. MDG 301 and S. MDG 147) under SSF conditions. Key degradative enzymes (xylanases, carboxylmethilcellulase (CMCase), mannanase, laccase and peroxidase) and lignin solubilisation were evaluated. Our results highlighted that the highest xylanases and CMCase levels were obtained after treatment of wheat straw for two days with the S. MDG 301 strain at 45°C. Similarly, we found that the highest mannanase level was achieved using the S. MDG 147 strain on the barley straw at 28°C. Therefore, the integrated approach used based on analytical and bio statistical methods, proved to be a valuable tool for an accurate and rapid determination of the most significant parameters for controlling the bio-transformation process in terms of the enzymatic activity and lignin solubilisation.
Keywords
Streptomyces, Orthogonal Projections to Latent Structures-Discriminant Analysis (OPLS-DA), solid-state fermentation (SSF), enzymes production, agricultural wastes, lignin solubilization
Figure 1
Figure 2
Figure 3
Figure 4
This is a list of supplementary files associated with this preprint. Click to download.
Loading...
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 18 May, 2021
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Learn more about our company.
A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research Article
Gabriela Dominguez
Universidad de Alcala de Henares
Corresponding Author
ORCiD: https://orcid.org/0000-0001-7358-0913
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 18 May, 2021
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
This study used Orthogonal Projections to Latent Structures-Discriminant Analysis (OPLS-DA) to identify and optimize the combined effect of the temperature, fermentation time, substrate-type, and fermenting microorganism on solid-state fermentation (SSF) culture of different agricultural wastes, in order to evidence the interactions among variables that allow maximizing the production of each enzyme. Thus, barley and wheat straw were fermented using two Streptomyces strains (S. MDG 301 and S. MDG 147) under SSF conditions. Key degradative enzymes (xylanases, carboxylmethilcellulase (CMCase), mannanase, laccase and peroxidase) and lignin solubilisation were evaluated. Our results highlighted that the highest xylanases and CMCase levels were obtained after treatment of wheat straw for two days with the S. MDG 301 strain at 45°C. Similarly, we found that the highest mannanase level was achieved using the S. MDG 147 strain on the barley straw at 28°C. Therefore, the integrated approach used based on analytical and bio statistical methods, proved to be a valuable tool for an accurate and rapid determination of the most significant parameters for controlling the bio-transformation process in terms of the enzymatic activity and lignin solubilisation.
Figure 1
Figure 2
Figure 3
Figure 4
This is a list of supplementary files associated with this preprint. Click to download.
Loading...