实验统计设计支持的聚合物网络对酿酒残留物中反式白藜芦醇的功能化

IF 1.8 4区工程技术 Q3 ENGINEERING, CHEMICAL

Macromolecular Reaction Engineering Pub Date : 2023-08-18 DOI:10.1002/mren.202370009

Amir Bzainia, Rolando C. S. Dias, Mário Rui P. F. N. Costa

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引用次数: 0

摘要

封底：合成聚合物网络以选择性靶向反式白藜芦醇。通过采用统计实验设计，使用紫外线引发进行聚合，从而产生具有针对反式白藜芦醇定制的分子印迹结合位点的材料。这些材料成功地应用于从酿酒残留物中纯化反式白藜芦醇，证明了它们的实用性。Amir Bzainia、Rolando C.S.Dias和Mário Rui P.F.N.Costa在文章编号2200076中对此进行了报道。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Functionalization of Polymer Networks to Target Trans-Resveratrol in Winemaking Residues Supported by Statistical Design of Experiments

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Functionalization of Polymer Networks to Target Trans-Resveratrol in Winemaking Residues Supported by Statistical Design of Experiments

Back Cover: Polymer networks are synthesized to selectively target trans-resveratrol. By employing a statistical design of experiments, the polymerizations are conducted using ultraviolet light initiation, thus yielding materials with molecularly imprinted binding sites tailored for trans-resveratrol. These materials are successfully applied in purifying trans-resveratrol from winemaking residues, demonstrating their practical utility. This is reported by Amir Bzainia, Rolando C. S. Dias, and Mário Rui P. F. N. Costa in article number 2200076.

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来源期刊

Macromolecular Reaction Engineering 工程技术-高分子科学

CiteScore

2.60

自引率

20.00%

发文量

审稿时长

3 months

期刊介绍： Macromolecular Reaction Engineering is the established high-quality journal dedicated exclusively to academic and industrial research in the field of polymer reaction engineering.