1：Experimental Design and Method Selection:

The paper is a review article, so it does not describe specific experiments but summarizes existing methodologies from cited literature, including dielectric measurements, refractive index measurements, and spectroscopic techniques like FTIR and NMR. Theoretical models such as Redlich-Kister polynomial, Kirkwood correlation factor, and various mixing rules (e.g., Lorentz-Lorenz, Gladstone-Dale) are discussed for data analysis.

2：Sample Selection and Data Sources:

Samples include binary mixtures of non-aqueous liquids such as hydrocarbons, alcohols, amines, carboxylic acids, and esters, selected based on industrial relevance and prior studies. Data are sourced from various literature references.

3：List of Experimental Equipment and Materials:

Specific equipment and materials are not detailed in this review; it references general instruments like dielectric measurement devices, refractometers, and spectrometers from cited studies.

4：Experimental Procedures and Operational Workflow:

General procedures involve measuring dielectric constants, refractive indices, and spectral characteristics over a range of compositions and temperatures, followed by data fitting to theoretical models.

5：Data Analysis Methods:

Analysis includes calculating excess properties, deviations, and using statistical methods like standard deviation; software tools are not specified.