In this paper some processing of data obtained subsequently to the conclusion of the project "New high-quality mined nanomaterials mass produced for plastic and wood-plastic nanocomposites" are described (MINANO, Project Number: 263946, Call part identifier: FP7-NMP-2010-EU-Mexico). The aim of this project was related to the damage that could produce the extracted nanoparticles during the mining process and were functionalized to improve the properties of materials used in the industry. Unfortunately, in the Third World and developing countries, the waste produced by these materials do not have in general a sustainable destination, as used in the indiscriminate burning brick ovens, among others. Our participation in the project was to identify whether there was release of nanoparticles in the thermal and mechanical processes. However, the present study describes some preliminary results of a new approach that aims to develop a method by which the structure of the surfaces of the fine particles can be defined and classified by a specific parameter called Hurst coefficient (H) and is directly related to the fractal dimension. The proposed method uses the analysis of fractional Brownian motion analysis (fBm) to parameterize the microscopic images recorded from the released particles with various components. At the microscopic scale, the particles were segmented from the background and determining the values of H of the selected regions in the images. The range of H values was between 0.27 and 0.60, according to the fluctuation of the surface of the particle. Finally, some future work related applications determining the texture of fine particles through the Hurst coefficient with the impacts that could result to health are discussed.