Literature DB >> 24916805

Kinetic modelling of thermal inactivation of a keratinase from Purpureocillium lilacinum LPSC # 876 and the influence of some additives on its thermal stability.

Ivana A Cavello1, Sebastián F Cavalitto.   

Abstract

Thermal inactivation of a keratinase produced by Purpureocillium lilacinum LPSC #876 was kinetically investigated using several enzyme inactivation models at the temperature range of 50-65 °C. Among the models studied, the Weibull distribution was the best model that describes the residual activity of P. lilacinum keratinase after heat treatment over the selected temperatures. The stabilising effect of metal ions (Ca2+ or Mg2+, 5 mmol l(-1)) or polyols (propylene glycol and glycerol, 10% v/v) was investigated, showing that the presence of Ca2+ increases the enzyme stability significantly. Conforming to the increased Ca2+ concentration, thermal stability of the enzyme also increased, with 10 mM of Ca2+ being the concentration of metal in which the enzyme retained 100% of its original activity after being incubated for 1 h at 55 °C. The effects of temperature on Weibull equation parameters and on the characteristics of the inactivation curves were evaluated. In the absence of any additives (control), the reliable time (t R) of the keratinase, analogous to D value, ranged from 484.16 to 63.67 min, while in the presence of Ca2+ the t R values ranged from 6,221 to 414.95 min at 50-65 °C. P. lilacinum keratinase is a potentially useful biocatalyst, and therefore, kinetic modelling of thermal inactivation addresses an important topic for its application in various industrial processes.

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Year:  2014        PMID: 24916805     DOI: 10.1007/s12010-014-0977-0

Source DB:  PubMed          Journal:  Appl Biochem Biotechnol        ISSN: 0273-2289            Impact factor:   2.926


  1 in total

1.  Kinetic Modeling, Thermodynamic Approach and Molecular Dynamics Simulation of Thermal Inactivation of Lipases from Burkholderia cepacia and Rhizomucor miehei.

Authors:  Natividad Ortega; Laura Sáez; David Palacios; María D Busto
Journal:  Int J Mol Sci       Date:  2022-06-19       Impact factor: 6.208

  1 in total

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