Quantitative Methodology for Assessing the Dispersion of Guest Materials within a Host Matrix

Abstract

This work introduces a quantitative methodology for assessing the dispersion of guest materials within a host matrix, an essential parameter that influences the performance of composite materials. We define dispersion as the uniformity degree of guest materials’ spatial distribution relative to the host matrix. To quantify this metric, we employ statistical tools, such as the coefficient of variation, which assesses the variability in concentration across sample regions. Our methodology integrates analytical techniques, including ultraviolet–visible absorbance spectroscopy and Fourier transform infrared spectroscopy, to generate high-resolution compositional maps that capture guest material distribution with spatial precision. Practical examples demonstrate the effectiveness of our methodology in real-world applications, highlighting its versatility and enhancing its reproducibility in dispersion assessments. While challenges such as matrix complexity and overlapping spectral signals in multicomponent systems remain notable considerations, this framework establishes a rigorous foundation for systematic optimization of composite properties. Our work can contribute to understanding and optimizing material properties, fostering advancements in fields ranging from material science to industry.