基于咪唑的离子液体会破坏酿酒酵母细胞膜的完整性。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Bengü ERGÜDEN, Fatih TARLAK, Yasemin ÜNVER
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引用次数: 0

摘要

离子液体(ILs)是一种有趣的化合物,在工业和科学领域有着广泛的应用。它们具有非凡的特性,如许多物理性质和相应的活性可调,以及合成方法简便。因此,它们成为催化、萃取、电化学、分析、生物技术等领域的重要构件。本研究通过最小抑菌浓度(MIC)估算法测定了各种咪唑基离子液体对酵母菌的抗真菌活性。增加咪唑阳离子上所附烷基的长度可提高离子液体的抗真菌活性及其破坏细胞膜完整性的能力。对经这些 ILS 处理的酿酒酵母细胞进行的傅立叶变换红外光谱研究显示,这些细胞的生化成分发生了变化。有趣的是,脂肪酸含量的变化与分子活性的增加同时发生,而分子活性的增加则与所附烷基长度的增加有关。统计分析和机器学习方法证实了这一趋势。根据麦角菌细胞的傅立叶变换红外光谱对抗真菌活性进行分类的预测准确率为 83%,这表明制药和医药行业可以从机器学习方法中获益。此外,合成的离子化合物在制药和医疗应用方面具有巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Imidazolium-based ionic liquids disrupt saccharomyces cerevisiae cell membrane integrity

Imidazolium-based ionic liquids disrupt saccharomyces cerevisiae cell membrane integrity

Ionic liquids (ILs) are interesting chemical compounds that have a wide range of industrial and scientific applications. They have extraordinary properties, such as the tunability of many of their physical properties and, accordingly, their activities; and the ease of synthesis methods. Hence, they became important building blocks in catalysis, extraction, electrochemistry, analytics, biotechnology, etc. This study determined antifungal activities of various imidazolium-based ionic liquids against yeast Saccharomyces cerevisiae via minimum inhibitory concentration (MIC) estimation method. Increasing the length of the alkyl group attached to the imidazolium cation, enhanced the antifungal activity of the ILs, as well as their ability of the disruption of the cell membrane integrity. FTIR studies performed on the S. cerevisiae cells treated with the ILs revealed alterations in the biochemical composition of these cells. Interestingly, the alterations in fatty acid content occurred in parallel with the increase in the activity of the molecules upon the increase in the length of the attached alkyl group. This trend was confirmed by statistical analysis and machine learning methodology. The classification of antifungal activities based on FTIR spectra of S. cerevisiae cells yielded a prediction accuracy of 83%, indicating the pharmacy and medicine industries could benefit from machine learning methodology. Furthermore, synthesized ionic compounds exhibit significant potential for pharmaceutical and medical applications.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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