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类黄酮氧化电位和抗氧化活性——基于氧化机制和相关电子结构变化的理论模型。

Flavonoid Oxidation Potentials and Antioxidant Activities-Theoretical Models Based on Oxidation Mechanisms and Related Changes in Electronic Structure.

机构信息

Institute for Medical Research and Occupational Health, Ksaverska Cesta 2, HR-10000 Zagreb, Croatia.

出版信息

Int J Mol Sci. 2024 May 3;25(9):5011. doi: 10.3390/ijms25095011.

DOI:10.3390/ijms25095011
PMID:38732228
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11084570/
Abstract

Herein, I will review our efforts to develop a comprehensive and robust model for the estimation of the first oxidation potential, , and antioxidant activity, AA, of flavonoids that would, besides enabling fast and cheap prediction of and AA for a flavonoid of interest, help us explain the relationship between , AA and electronic structure. The model development went forward with enlarging the set of flavonoids and, that way, we had to learn how to deal with the structural peculiarities of some of the 35 flavonoids from the final calibration set, for which the measurements were all made in our laboratory. The developed models were simple quadratic models based either on atomic spin densities or differences in the atomic charges of the species involved in any of the three main oxidation mechanisms. The best model takes into account all three mechanisms of oxidation, single electron transfer-proton transfer (SET-PT), sequential proton loss electron transfer (SPLET) and hydrogen atom transfer (HAT), yielding excellent statistics ( = 0.970, S.E. = 0.043).

摘要

在此,我将回顾我们为开发一种全面而强大的黄酮类化合物第一氧化电势( )和抗氧化活性(AA)估算模型所做的努力,该模型除了能够快速、廉价地预测感兴趣的黄酮类化合物的 和 AA 之外,还有助于我们解释 、AA 和电子结构之间的关系。该模型的开发是通过扩大黄酮类化合物的数据集来进行的,因此,我们必须学习如何处理最终校准集中的 35 种黄酮类化合物中的一些结构特性,因为这些黄酮类化合物的所有 测量值都是在我们的实验室中进行的。所开发的模型是基于原子自旋密度或涉及三个主要氧化机制的物种的原子电荷差异的简单二次模型。最好的模型考虑了氧化的所有三种机制,即单电子转移-质子转移(SET-PT)、顺序质子损失电子转移(SPLET)和氢原子转移(HAT),产生了出色的统计学结果( = 0.970,S.E. = 0.043)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1b7/11084570/bee62e99d582/ijms-25-05011-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1b7/11084570/5eb24d169305/ijms-25-05011-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1b7/11084570/22caf04d6c73/ijms-25-05011-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1b7/11084570/05a1c3a56595/ijms-25-05011-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1b7/11084570/2313dd71d2a7/ijms-25-05011-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1b7/11084570/bee62e99d582/ijms-25-05011-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1b7/11084570/5eb24d169305/ijms-25-05011-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1b7/11084570/22caf04d6c73/ijms-25-05011-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1b7/11084570/05a1c3a56595/ijms-25-05011-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1b7/11084570/2313dd71d2a7/ijms-25-05011-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1b7/11084570/bee62e99d582/ijms-25-05011-g004.jpg

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