Surface free energy (SFE) is the excess energy per unit surface area. It is a quantitative thermodynamic measure of intermolecular and surface forces and therefore governs the hydrophobicity and wettability of a material. For liquid–fluid interfaces, such as air–liquid and liquid–liquid interfaces, SFE is equivalent to surface or interfacial tension, which can be readily determined using established methods such as the Wilhelmy plate and drop shape analysis. In contrast, the SFE of a solid surface cannot be measured directly. Despite longstanding controversies regarding its theoretical interpretation, the contact angle method remains the only established approach for determining the SFE of bulk solid materials.
SFE, or more broadly hydrophobicity, is among the most important physicochemical properties of nanoparticles (NPs), playing a critical role in determining particle dispersion and aggregation, nano–bio interactions, and the fate of NPs in biological and environmental systems. Despite its importance, characterization of NP SFE or hydrophobicity remains highly challenging due to nanoscale heterogeneity and dynamic environmental effects. Numerous methods have been developed to characterize NP hydrophobicity. These methods can generally be classified into two categories: qualitative methods, which rank the relative hydrophobicity of NPs, and quantitative methods, which determine NP SFE. However, none of these approaches has been universally accepted as a standard method for nanoparticle characterization. Therefore, there is an urgent need to develop an accurate, easy-to-use, and cost-effective method for quantitative determination of NP hydrophobicity.
Experimental methods available for determining the hydrophobicity of NPs. (A) The octanol–water partitioning method. The partitioning coefficient (KOW) of NPs between octanol and water is used to determine the relative hydrophobicity of the NPs. (B) The Rose bengal (RB) partitioning method. The relative hydrophobicity of NPs is indicated by the slope of the partitioning quotient (PQ) of the hydrophobic dye, RB, against the total surface area of the NPs. (C) The contact angle method. When used as a qualitative method, the apparent contact angle of a water sessile drop on the NP-coated surface is indicative of the particle hydrophobicity. When used as a quantitative method, the surface free energy (SFE) of NPs (γSV) can be determined from Young’s equation, where two complications are involved. One is the difficulty in determining the Young’s contact angle (θY), and another is the uncertainty in calculating the solid–liquid interfacial tension (γSL) as controversial theories exist. (D) The capillary penetration method. The SFE of NPs is determined from a modified Washburn’s equation with a series of liquids of various surface tensions being imbibed into a column packed with the NPs. (E) Inverse gas chromatography. Dispersive (γd) and polar (γp) components of the SFE are determined by measuring the adsorption of probing gases of different polarities passing the NPs. The total SFE of the NPs is calculated as the sum of individual SFE components. (F) The maximum particle dispersion method. NPs are dispersed in a series of probing liquids of various surface tensions. The surface tension of the liquid in which the NPs are maximally dispersed, determined by an optical density (OD) peak, corresponds to the SFE of the NPs (Li et al., 2022. Anal. Chem. 94:2078).
Over the years, we have developed two completely independent and practical methods for characterizing the SFE or hydrophobicity of micro- and nanoparticles. The first method, termed maximum particle dispersion (MPD), is based on a novel measurement principle that exploits the control of DLVO-governed colloidal stability in nanoparticle suspensions. The second method, termed nonionic dye partitioning (NIDP), was developed based on the classical principle of “like dissolves like.” MPD enables quantitative determination of the SFE of micro- and nanoparticles, whereas NIDP provides a simple means to rank the relative hydrophobicity of diverse particles. Both methods can be readily implemented using routine optical instrumentation, such as a microplate reader. Consequently, these approaches hold considerable promise for development into easy-to-use, standardized methods for quantitative characterization of the hydrophobicity of micro- and nanoparticles.
According to classical DLVO theory, the work of adhesion between particles dispersed in a liquid medium is governed by a balance between repulsive electrostatic interactions and attractive van der Waals forces. Lifshitz theory predicts that the van der Waals attraction between identical particles, as quantified by the Hamaker constant, is minimized when the SFE of the liquid medium (i.e., its surface tension) matches that of the particles. Consequently, when particles are dispersed in a series of liquid media spanning a range of surface tensions, such as water–ethanol mixtures, they are expected to exhibit maximal dispersion, or minimal agglomeration, in the liquid whose surface tension most closely matches the particle SFE. The dispersion state of particles across the liquid series can be readily evaluated by measuring optical density (light absorbance) using a microplate reader. Therefore, the surface tension of the liquid yielding maximal particle dispersion, corresponding to the highest optical density, is expected to provide a quantitative estimate of the SFE of the particles (Cao et al., 2019, Anal. Chem. 91:12819).
In the dye-partitioning method, a hydrophobic dye, such as rose bengal (RB), or a hydrophilic dye, such as Nile blue (NB), is mixed with NPs over a series of predetermined particle concentrations. The relative hydrophobicity of different NPs is determined by plotting the partitioning quotient (PQ) of the dye—defined as the ratio of dye bound to the NP surface to free dye remaining in the liquid phase—against the total surface area of dispersed NPs at varying particle concentrations. A hydrophobic dye is expected to bind more strongly to more hydrophobic NPs, yielding a larger PQ slope; conversely, a hydrophilic dye is expected to show greater binding to more hydrophilic NPs.
We proposed the use of a nonionic dye, rhodamine B (RhB), to characterize NP hydrophobicity. Because RhB is nonionic, this approach eliminates experimental artifacts caused by nonspecific electrostatic adsorption, thereby improving the accuracy and applicability of the method (Li et al., 2024, Nano Today 57:102360).
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