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胶束在混合非离子/阴离子表面活性剂体系中的演变。

Micellar evolution in mixed nonionic/anionic surfactant systems.

机构信息

NSF Industry/University Cooperative Research Center (I/UCRC) for Particulate and Surfactant Systems at Columbia University, New York, NY 10027, USA.

出版信息

J Colloid Interface Sci. 2012 Feb 1;367(1):272-9. doi: 10.1016/j.jcis.2011.08.050. Epub 2011 Nov 7.

Abstract

Surfactant mixtures are widely used in industrial applications due to their favorable synergistic interactions. For instance, anionic and nonionic mixtures are often employed in detergent, personal care, and enhanced oil recovery. It is useful to understand micellization behaviors of such mixtures, as they are important for formulation optimizations. A range of techniques including surface tensiometry, fluorescence spectroscopy, ultrafiltration, and analytical ultracentrifugation (AUC), were employed in this work to obtain information on the micellization behaviors of the mixed n-dodecyl-β-D-maltoside (DM)/sodium dodecyl sulfonate (SDSN) system. The interaction parameter, monomer concentration, and micellar size and shape distribution were obtained for this mixed surfactant system as a function of total surfactant concentration as well as mixing ratio to achieve a full understanding of their aggregation behaviors. The coexistence of two types of micelles was identified in this mixed anionic/nonionic surfactant system for the first time. A model is proposed to explain such coexistence based on the surface activities and the interactions between the two types of surfactants. These findings are useful for optimizing the composition of mixed surfactant systems and enhancing the synergetic efficiency of the system to achieve more effective and economical formulations.

摘要

由于具有有利的协同相互作用,表面活性剂混合物在工业应用中被广泛使用。例如,阴离子和非离子混合物通常用于洗涤剂、个人护理和提高采油率。了解此类混合物的胶束化行为很有用,因为它们对于配方优化很重要。本工作采用一系列技术,包括表面张力法、荧光光谱法、超滤和分析超速离心法(AUC),以获取有关混合正十二烷基-β-D-麦芽糖苷(DM)/十二烷基硫酸钠(SDSN)体系胶束化行为的信息。作为总表面活性剂浓度以及混合比的函数,获得了混合表面活性剂体系的相互作用参数、单体浓度以及胶束大小和形状分布,以充分了解其聚集行为。首次在这种混合阴离子/非离子表面活性剂体系中鉴定出两种类型的胶束共存。提出了一种基于两种表面活性剂的表面活性和相互作用的模型来解释这种共存。这些发现对于优化混合表面活性剂体系的组成和提高体系的协同效率以实现更有效和经济的配方很有用。

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