Milk Fat Fiber-Optic Sensor Based on the Photoluminescence Spectroscopy

Authors: Shkirin A.V., Kozlov V.A., Ignatenko D.N., Pavkin D.Yu., Kirsanov V.V. Published: 04.03.2024
Published in issue: #1(112)/2024  
DOI: 10.18698/1812-3368-2024-1-93-103

Category: Physics | Chapter: Condensed Matter Physics  
Keywords: fiber-optic sensor, fluorometry, control, spectrum, fluorescence


A prototype of the small-sized fiber-optic sensor was developed to determine the fat component percentage in milk. The sensor operation principle was based on the photoluminescence spectroscopy using a fiber-optic system based on the scheme of branching in the two optical channels to deliver pump radiation and receive the fluorescent signal. Milk fluorescence was excited by irradiation from the UV diode laser with the wavelength of 369 nm. Pump radiation was introduced into the milk tube by the multimode optical fiber with the core diameter of 50 µm, which was also used to detect the fluorescence radiation. The fluorescence spectrum was registered using the fiber-optic mini-spectrometer operating in the range of 370--800 nm. Based on the experimentally measured fluorescence spectra for milk samples with the different fat content, it was found that intensities of the cow milk two fluorescence peaks at the wave-lengths of 390 and 780 nm exhibited monotonic dependence on the fat percentage in milk. Dependences of the fluorescence maxima intensity on the milk fat content in the range 0.05--6 % were plotted. Functional approximations were found for the obtained dependencies, they could be used to calibrate the sensor

The work was supported by the Russian Science Foundation (grant no. 23-26-00110, https://rscf.ru/project/23-26-00110/)

Please cite this article in English as:

Shkirin A.V., Kozlov V.A., Ignatenko D.N., et al. Milk fat fiber-optic sensor based on the photoluminescence spectroscopy. Herald of the Bauman Moscow State Technical University, Series Natural Sciences, 2024, no. 1 (112), pp. 93--103 (in Russ.). EDN: DTQUFX


[1] Harding F., eds. Milk quality. Boston, MA, Springer, 1995. DOI: https://doi.org/10.1007/978-1-4615-2195-2

[2] Truong T., Lopez C., Bhandari B., et al. (eds.) Dairy fat products and functionality. Cham, Springer, 2020. DOI: https://doi.org/10.1007/978-3-030-41661-4

[3] Alsaftli Z. The obstacles to using milk composition as management tool in dairy cattle farms. J. Adv. Dairy. Res., 2020, vol. 8, no. 1, art. 233.

[4] ICAR Certifications for milk meters for cow sheep goats. icar.org. Available at: https://www.icar.org/index.php/certifications/icar-certifications-for-milk-meters-for-cow-sheep-goats (accessed: 24.05.2023).

[5] Hu Y.T., Ting Y., Hu J.Y., et al. Techniques and methods to study functional characteristics of emulsion systems. J. Food Drug Anal., 2017, vol. 25, iss. 1, pp. 16--26. DOI: https://doi.org/10.1016/j.jfda.2016.10.021

[6] Palberg T., Ballauff M., ed. Optical methods and physics of colloidal dispersions. Vol. 104. Steinkopff, Springer, 1997. DOI: https://doi.org/10.1007/BFb0110733

[7] Gastelum-Barrios A., Soto-Zarazua G.M., Escamilla-Garcia A., et al. Optical methods based on ultraviolet, visible, and near-infrared spectra to estimate fat and protein in raw milk: a review. Sensors, 2020, vol. 20, iss. 12, art. 3356. DOI: https://doi.org/10.3390/s20123356

[8] Michels R., Foschum F., Kienle A. Optical properties of fat emulsions. Opt. Express, 2008, vol. 16, iss. 8, pp. 5907--5925. DOI: https://doi.org/10.1364/OE.16.005907

[9] Chao K., Kim M.S., Lawrence K.C. Optical methods for food inspection. Sens. & Instrumen. Food Qual., 2008, vol. 2, no. 2, pp. 73--74. DOI: https://doi.org/10.1007/s11694-008-9048-y

[10] Lakowicz J.R. Principles of fluorescence spectroscopy. New York, NY, Springer, 2006. DOI: https://doi.org/10.1007/978-0-387-46312-4

[11] Khosroshahi M.E., Patel Y., Woll-Morison V. Non-destructive assessment of milk quality using pulsed UV photoacoustic, fluorescence and near FTIR spectroscopy. Laser Phys. Lett., 2022, vol. 19, no. 7, art. 075602. DOI: https://dx.doi.org/10.1088/1612-202X/ac6fc5

[12] van den Berg F., Lyndgaard C.B., Sorensen K.M., et al. Process analytical technology in the food industry. Trends Food Sci. Technol., 2013, vol. 31, iss. 1, pp. 27--35. DOI: https://doi.org/10.1016/j.tifs.2012.04.007

[13] Burmistrov D.E., Pavkin D.Y., Khakimov A.R., et al. Application of optical quality control technologies in the dairy industry: an overview. Photonics, 2021, vol. 8, iss. 12, art. 551. DOI: https://doi.org/10.3390/photonics8120551

[14] Uusitalo S., Diaz-Olivares J., Sumen J., et al. Evaluation of MEMS NIR spectrometers for on-farm analysis of raw milk composition. Foods, 2021, vol. 10, iss. 11, art. 2686. DOI: https://doi.org/10.3390/foods10112686

[15] Andersen C.M., Mortensen G. Fluorescence spectroscopy: a rapid tool for analyzing dairy products. J. Agric. Food Chem., 2008, vol. 56, iss. 3, pp. 720--729. DOI: https://doi.org/10.1021/jf072025o

[16] Karoui R., Blecker C. Fluorescence spectroscopy measurement for quality assessment of food systems --- a review. Food Bioprocess. Technol., 2011, vol. 4, no. 3, pp. 364--386. DOI: https://doi.org/10.1007/s11947-010-0370-0

[17] Shaikh S., O’Donnell C. Applications of fluorescence spectroscopy in dairy processing: a review. Curr. Opin. Food Sci., 2017, vol. 17, pp. 16--24. DOI: https://doi.org/10.1016/j.cofs.2017.08.004

[18] Dimitrova T., Eftimov T., Kabadzhov V., et al. Scattering and fluorescence spectra of cow milk. Bulg. Chem. Commun., 2014, vol. 46, spec. iss. B, pp. 39--43.

[19] Perez M.A., Gonzalez O., Arias J.R. Optical fiber sensors for chemical and biological measurements. In: Current Developments in Optical Fiber Technology. Intech Open, 2013. DOI: https://doi.org/10.5772/52741

[20] Wang X., Jiaojiao B., Juanjuan P., et al. Milk quality control: instant and quantitative milk fat determination with a BODIPY sensor-based fluorescence detector. Chem. Commun., 2014, vol. 50, iss. 72, pp. 10398--10401. DOI: http://dx.doi.org/10.1039/C4CC04670F

[21] King N. Fluorescence microscopy of fat in milk and milk powder. J. Dairy Res., 1955, vol. 22, iss. 2, pp. 205--210. DOI: https://doi.org/10.1017/S0022029900007731