有机铵盐。XLI。N-[2-(10-十一烯氧基)乙基]-N,N,N-烷基二甲基溴化铵的制备、聚合性能及抗菌活性

Ceskoslovenska farmacie Pub Date : 1991-11-01
I Csiba, F Devínsky, L Masárová, I Lacko
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引用次数: 0

摘要

本文叙述了7种新型N-[2-(10-十一烯氧基)乙基]-N,N,N-烷基二甲基溴化铵有机铵盐的制备,其中烷基链由乙基逐渐延长到十四烷基,使其他基团(10-十一烯氧基和甲基)不断与铵态氮结合。本文研究了制备的铵盐的抗菌效果及其水溶液的聚集性能。聚集体的性质是由胶束形成的临界浓度的值表示,这是由张力和电导测定。对金黄色葡萄球菌、大肠杆菌和白色念珠菌进行稀释试验,测定最小抑制浓度与烷基链长度依赖关系表达的抑菌活性。从表中可以看出,所有制备的铵盐在这方面都是有活性的,在烷基链上拥有6、8和10个碳原子的铵盐最有效。它们对所有测试的微生物菌株都比标准的Ajatin更有效。抗菌效果随烷基链长度的增加而降低。此外,结构-活性关系通过QSAR分析方法使用两个程序进行量化:依赖性log ck与m是线性的,依赖性log (1/MIC)与m和log (1/MIC)与log ck是非线性的。回归方程计算系数及相关性统计评价见表4。(摘要删节250字)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Organic ammonium salts. XLI. Preparation, aggregation properties and antimicrobial activity of N-[2-(10-undecenoyloxy)ethyl]-N,N,N-alkyldimethylammonium bromides].

The paper describes the preparation of 7 novel organic ammonium salts of N-[2-(10-undecenoyloxy)ethyl]-N,N,N-alkyl-dimethylammonium bromides, in which the alkyl chain was gradually lengthened from ethyl to tetradecyl, constantly keeping the other groups (10-undecenoyloxyethyl and methyl) bound to the ammonium nitrogen. In the paper the antimicrobial effect of the prepared ammonium salts and the aggregative properties of their aqueous solutions were studied. The aggregative properties are expressed by the values of the critical concentration of the micelles formation, which were determined tensiometrically and conductometrically. The antimicrobial activity expressed by the minimal inhibition concentration in dependence on the prolongation of the alkyl chain was determined by the dilution test on the strains Staphylococcus aureus, Escherichia coli and Candida albicans. As follows from the table, all ammonium salts prepared were active in this respect, the most effective ones possessing 6, 8 and 10 carbon atoms in the alkyl chain. They were more effective than the standard Ajatin to all strains of the microorganisms tested. The antimicrobial effect decreased with the increasing length of the alkyl chain. Also the structure--activity relationship was quantified by the QSAR analysis methods using two procedures: the dependence log ck vs. m was linear and the dependence log (1/MIC) vs. m and log (1/MIC) vs. log ck were nonlinear. The calculated coefficients of regression equations and statistical evaluation of dependences are shown in Table 4.(ABSTRACT TRUNCATED AT 250 WORDS)

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