| Autor: |
de Menezes, Luiz Henrique Sales, Oliveira, Polyany Cabral, do Espírito Santo, Eliezer Luz, Gonçalves, Márcia Soares, Bilal, Muhammad, Ruiz, Héctor A., da Silva, Erik Galvão Paranhos, Salay, Luiz Carlos, de Oliveira, Julieta Rangel, Franco, Marcelo |
| Předmět: |
|
| Zdroj: |
BioEnergy Research; Mar2024, Vol. 17 Issue 1, p42-58, 17p |
| Abstrakt: |
The demand for enzymes that have high industrial applicability has grown significantly in the last decade. An alternative to obtain these enzymes is solid-state fermentation (SSF), in which microorganisms grow on solid substrates with little water, secreting secondary metabolites of high added value. In order to maximize enzyme production in fermentation processes, a set of multivariate statistical techniques were applied to optimize parameters such as incubation temperature, fermentation time, pH, initial moisture content, and spore concentration. Through these techniques, it is possible to investigate the interactions of the effects of the studied variables, in addition to reducing the number of experiments, providing savings in operational terms and a decrease in the amount of reagents used. Thus, this review addresses the main chemometric techniques used in the optimization of enzyme production by microorganisms in SSF in the last 10 years, indicating advantages and disadvantages and their applications. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
Full text from SpringerLink