Enhanced or Inhibited Activity of Lipase in Macromolecular Media: Quantification and Prediction.

IF 2.9 2区 化学 Q3 CHEMISTRY, PHYSICAL The Journal of Physical Chemistry B Pub Date : 2025-03-06 Epub Date: 2025-02-22 DOI:10.1021/acs.jpcb.4c06511
Lei Wang, Zhen-Zhen Li, Gong-Ji Chen, Mi-Zhuan Li, Yan Cheng, Zhong-Xiu Chen
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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 CCef 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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脂肪酶在大分子培养基中的增强或抑制活性:定量和预测。
不同的大分子胶体对脂肪酶的活性有抑制或促进作用,但总体规律不明确。本文系统地分析了脂肪酶在不同大分子培养基中的活性。提取影响酶活性的具体因素进行定量分析。建立了粘度、拥挤效应和软相互作用三个函数来描述大分子介质效应。以哈金斯常数和克莱默常数为基础的介质参数能够表征大分子介质的质量。提出了三组因子与酶活性相关性的多元非线性回归模型,并提出了拥挤酶因子CCef。该研究率先确定和预测了影响复杂培养基中酶活性的多种因素。对科学预测与健康食品相关的功能性大分子的功效和膳食纤维的配方也具有重要意义。
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阿拉丁
Polyethylene glycol
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2-Nitrophenyl butyrate (pNPB)
来源期刊
CiteScore
5.80
自引率
9.10%
发文量
965
审稿时长
1.6 months
期刊介绍: An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.
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