CC BY
0Analysis of the dispersion composition of highly scattering polydisperse media using laser diagnostics
D.N. Ignatenko1*, A.V. Shkirin1, M.E. Astashev1, S.V. Gudkov1
1-Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
* dmitriyek13104@yandex.ru
Dispersed systems are ubiquitous in various fields of science and technology: medicine, ecology, food industry, oil refining industry, metallurgy, and so on [1-5]. Determining the characteristics of particles is an important component of research and development, production, and quality control of dispersed materials, as well as a significant tool in advanced scientific fields such as biotechnology or nanoparticle production.
Currently, optical methods are most commonly used to determine the content, size, shape, and structure of particles. Spectrophotometry, fluorimetry, optical coherence tomography, electron microscopy, ellipsometry, and scatterometry are among the most frequently used methods for studying highly dispersed colloidal systems [6]. The latter group of methods is interesting in that they allow for determining the dispersion analysis based on the form of light scattering indicatrix [7].
On the other hand, milk is a typical case of highly scattering dispersed media, as it represents a complex bioorganic system consisting of many groups of components: fats, proteins, lactose, amino acids, as well as microbiological impurities. The operational quantitative assessment of the composition of milk is usually carried out using optical spectrophotometry devices [8]. Like milk spectroscopic analyzers, light-scattering milk composition sensors are very promising as they can be made compact, fast, and inexpensive while providing sufficient accuracy in measuring the percentage content of fat and protein. Although there are several research studies proposing some schemes for using light scattering to determine the percentage content of components in milk [9-12], commercial offerings of light-scattering milk composition sensors are currently lacking.
In this work, promising methods for diagnosing turbid media based on light scattering were considered, and their capabilities were evaluated. Several new approaches to light-scattering diagnostics of turbid media, using milk as an example, were also proposed.
This research was funded by a grant from the Ministry of Science and Higher Education of the Russian Federation for large scientific projects in priority areas of scientific and technological development (subsidy identifier 075-15-2024-540).
[1] O.B. Kudryashova, Dispersed Systems: Physics, Optics, Invariants, Symmetry, 14, p. 1602, 2022.
[2] J.M. Sullivan, M.S. Twardowski, Angular shape of the oceanic particulate volume scattering function in the backward direction, Applied Optics, 48, 6811-6819, 2009.
[3] D. Koestner, D. Stramski, R.A. Reynolds, Polarized light scattering measurements as a means to characterize particle size and composition of natural assemblages of marine particles, Applied optics, 59, pp. 8314-8334, 2020.
[4] T. Palberg, M. Ballauff, F. Kremer, G. Lagaly, Optical methods and physics of colloidal dispersions, Springer, 1997.
[5] K. Sobczyk, R. Chmielewski, L. Kruszka, R. Rekucki, Analysis of the Influence of Silty Sands Moisture Content and Impact Velocity in SHPB Testing on Their Compactability and Change in Granulometric Composition, Applied Sciences, 13, p. 4707, 2023.
[6] D.N. Ignatenko, A.V. Shkirin, Y.P. Lobachevsky, S.V. Gudkov, Applications of Mueller matrix polarimetry to biological and agricultural diagnostics: a review, Applied Sciences, 12, p. 5258, 2022.
[7] S.V. Gudkov, R.M. Sarimov, M.E. Astashev, R.Yu. Pishchalnikov, D.V. Yanykin, A.V. Simakin, A.V. Shkirin, D.A. Serov, E.M. Konchekov, N.G. Gusein-zade, V.N. Lednev, M.Ya. Grishin, P.A. Sdvizhenskii, S.M. Pershin, A.F. Bunkin, M.Kh. Ashurov, A.G. Aksenov, N.O. Chilingaryan, I.G. Smirnov, D.Yu. Pavkin, D.O. Hort, M.N. Moskovskii, A.V. Sibirev, Ya.P. Lobachevsky, A.S. Dorokhov, A.Yu. Izmailov, Modern physical methods and technologies in agriculture, Physics-Uspekhi, 67, pp. 194-210, 2024.
[8] D.E. Burmistrov, D.Y. Pavkin, A.R. Khakimov, D.N. Ignatenko, E.A. Nikitin, V.N. Lednev, Y.P. Lobachevsky, S.V. Gudkov, A.V. Zvyagin, Application of optical quality control technologies in the dairy industry: An overview, Photonics, 8, p. 551, 2021.
[9] P. Jain, S.E. Sarma, Light scattering and transmission measurement using digital imaging for online analysis of constituents in milk. Proceedings of the Optical Measurement Systems for Industrial Inspection IX, pp. 951-959, 2015.
[10] T. Katsumata, H. Aizawa, S. Komuro, S. Ito, T. Matsumoto, Quantitative analysis of fat and protein concentrations of milk based on fibre-optic evaluation of back scattering intensity, International Dairy Journal, 109, p. 104743, 2020.
[11] S. Ohtani, T. Wang, K. Nishimura, M. Irie, Milk fat analysis by fiber-optic spectroscopy, Asian-Australasian Journal of Animal Sciences, 18, pp. 580-583, 2005.
[12] F. Angrasari, A. Arifin, B. Abdullah, Fabrication of Milk Fat Sensor based on Plastic Optical Fiber, Proceedings of the Journal of Physics: Conference Series, p. 082038, 2019.
