Abstract

This paper presents a review on recent progress in quantitative structure-property relationship (QSPR) studies of surfactants and applications of various molecular descriptors. QSPR studies on critical micelle concentration (cmc) and surface tension (γ) of surfactants are introduced. Studies on charge distribution in ionic surfactants by quantum chemical calculations and its effects on the structures and properties of the colloids of surfactants are also reviewed. The trends of QSPR studies on cloud point (for nonionic surfactants), biodegradation potential and some other properties of surfactants are evaluated.

Highlights

  • Surfactants are usually amphiphilic organic compounds, meaning they contain both hydrophobic groups and hydrophilic groups

  • The progress in the quantitative structure-property relationship (QSPR) studies on surfactants relating to cloud points, charge distribution, surface tension, degradation and other properties have been reviewed (Table 2)

  • In earlier QSPR studies for surfactants cited in the present review, topological descriptors were mostly adopted to correlate activities/properties, theses studies may lack insightfulness since there have been few investigations involving effects of electronic motion in molecules on their properties and functions that is highly critical to development and application of surfactants

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Summary

Introduction

Surfactants are usually amphiphilic organic compounds, meaning they contain both hydrophobic groups (their "tails") and hydrophilic groups (their "heads"). Fluorosurfactants have a fluorinated "tail" and a hydrophilic "head",and are more effective at lowering the surface tension of water than comparable hydrocarbon surfactants, as they can lower the surface tension of water down to a value half of what is attainable by using hydrocarbon surfactants [14] Some fluorosurfactants, such as PFOS, are detected in humans and wildlife, and fluorosurfactants tend to concentrate at the liquid-air interface due to the lipophobic nature of fluorocarbons [15]. Using thermodynamic data and other experimental data, widely applicable and acceptable QSPR models have been established between basic structures and physicochemical properties, applicable functions and some other special properties [17,18,19,20,21] These QSPR models regarding surfactants are generally based only on the summary of a large amount of experimental data, and no detailed studies on their mechanisms of interaction have been performed. We will mainly review recent progress on development of QSPR for surfactants

Studies on Relationships between CMC and Molecular Structures
QSPR Studies on CMC of Surfactants Based on Molecular Connectivity Index
QSPR Studies of CMC of Surfactants Based on Quantum Mechanical Descriptors
QSPR Studies of CMC of Surfactants Using Neural Network
QSPR Studies of CMC of Surfactants Using Other Methods
Charge Distribution of Surfactants and Its Influence on Their Properties
Descriptors Related to Molecular Surface Area—CPSA
Surface Tension Prediction Models
Qsar Studies on Cloud Point of Nonionic Surfactants
Studies on Degradation of Surfactants
QSPR Studies on Other Properties of Surfactants
Conclusions and Prospects
Findings
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