Enhanced or InhibitedActivity of Lipase in MacromolecularMedia: Quantification and Prediction

The activity of lipase was inhibited or promoted by different macromolecular colloids, but the underlined general rules were not clear. In this paper, lipase activity was systematically analyzed in different macromolecular media. The detailed factors that affect the enzyme activity were extracted for quantification. Three functions, including viscosity, the crowding effect, and soft interactions, were established to describe the macromolecular medium effect. The medium parameter based on the Huggins constant and Kramer constant was able to characterize the quality of the macromolecular media. A multivariate nonlinear regression model was proposed for the correlation or prediction between three groups of factors and enzyme activity, and a crowding enzyme factor <i>C</i><sub>Cef</sub> was proposed. This study pioneered the qualification and prediction of the multiple factors that affect the enzyme activity in complex media. It is also significant for scientifically predicting the efficacy of functional macromolecules related to healthy food and the formulation of dietary fibers.

Publication Details

Journal
Figshare
Published
2025-02-22
DOI
https://doi.org/10.1021/acs.jpcb.4c06511.s001
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhanced or InhibitedActivity of Lipase in MacromolecularMedia: Quantification and Prediction

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Mycorrhizal Fungi and Plant Interactions
article

Enhanced or InhibitedActivity of Lipase in MacromolecularMedia: Quantification and Prediction

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Abstract

The activity of lipase was inhibited or promoted by different macromolecular colloids, but the underlined general rules were not clear. In this paper, lipase activity was systematically analyzed in different macromolecular media. The detailed factors that affect the enzyme activity were extracted for quantification. Three functions, including viscosity, the crowding effect, and soft interactions, were established to describe the macromolecular medium effect. The medium parameter based on the Huggins constant and Kramer constant was able to characterize the quality of the macromolecular media. A multivariate nonlinear regression model was proposed for the correlation or prediction between three groups of factors and enzyme activity, and a crowding enzyme factor <i>C</i><sub>Cef</sub> was proposed. This study pioneered the qualification and prediction of the multiple factors that affect the enzyme activity in complex media. It is also significant for scientifically predicting the efficacy of functional macromolecules related to healthy food and the formulation of dietary fibers.

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Enhanced or InhibitedActivity of Lipase in MacromolecularMedia: Quantification and Prediction · Figshare (2025) | TGRS Research Map | TGRS