Metrological feature for determining the concentration of cholesterol, triglycerides, and phospholipids for psoriasis detection

The article is dedicated to the study of promising methods for determining the concentration of cholesterol, triglycerides, and phospholipids for the detection of psoriasis. It demonstrates that when interacting with cholesterol and triglycerides, the cholesteric-nematic mixture alters its spectral characteristics, in particular, which leads to a wavelength shift in the direction of the long-wavelength region. It is also shown that the liquid crystal mixture can serve as a sensitive element in an optical sensor for cholesterol and triglycerides and be one of the rapid diagnostic methods for detecting psoriasis.

Keywords:

psoriasis, liquid crystals, spectral shift, 5CB, BLO-61, diagnosis of bioobjects

References

[1] Andrushchenko M. et al.: Hand movement disorders tracking by smartphone based on computer vision methods. Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 14(2), 2024, 5–10 [https://doi.org/10.35784/iapgos.6126]. DOI: https://doi.org/10.35784/iapgos.6126

[2] Avrunin O. et al.: Improving the methods for visualization of middle ear pathologies based on telemedicine services in remote treatment. KhPI Week on Advanced Technology, KhPI Week 2020, 347–350 [https://doi:10.1109/KhPIWeek51551.2020.9250090]. DOI: https://doi.org/10.1109/KhPIWeek51551.2020.9250090

[3] Arya S., Datta M., Malhotra B.: Recent advances in cholesterol biosensor. Biosensors and Bioelectronics 23, 2008, 1083–1100. DOI: https://doi.org/10.1016/j.bios.2007.10.018

[4] Brunzell J. D. et al.: Lipoprotein management in patients with cardiometabolic risk: consensus statement from the American Diabetes Association and the American college of Cardiology Foundation. Diabetes Care 31, 2008, 811–822. DOI: https://doi.org/10.2337/dc08-9018

[5] Galuzinska L. V.: Study of changes in some biochemical blood parameters in patients with psoriasis. Ukrainian Biopharmaceutical Journal 5(40), 2015, 8–10.

[6] Kozlovska T. I. et al.: Optoelectronic multispectral device for determining the state of peripheral blood circulation. Proc. SPIE 11581, 2020, 115810L.

[7] Munir S., Park S. Y.: The development of a cholesterol biosensor using a liquid crystal/aqueous interface in a SDS-included β-cyclodextrin aqueous solution. Anal Chim Acta 893, 2015, 101–107. DOI: https://doi.org/10.1016/j.aca.2015.08.051

[8] Mykytyuk Z. M. et al.: Optical sensor with liquid crystal sensitive element for monitoring acetone vapor during exhalation. Molecular Crystals and Liquid Crystals 721(1), 2021, 24–29. DOI: https://doi.org/10.1080/15421406.2021.1905273

[9] Mykytyuk Z. M. et al.: Induced blue phase of cholesteric-nematic mixtures under the action of acetone vapors. Physics and Chemistry of Solid State 25(1), 2024, 109–113. DOI: https://doi.org/10.15330/pcss.25.1.109-113

[10] Rovira R. H. et al.: Polarimetric characterisation of histological section of skin with pathological changes. Proc. SPIE 10031, 2016, 100313E [https://doi.org/10.1117/12.2249373]. DOI: https://doi.org/10.1117/12.2249373

[11] Sundas M., Mashoog K., Soo-Young P.: Bienzyme liquid-crystal-based cholesterol biosensor. Sensors and Actuators B, Chemical 220, 2015, 1083–1100. DOI: https://doi.org/10.1016/j.snb.2015.05.117

[12] Vistak M. et al.: Optical biosensor on the base of cholesteric liquid crystals. 2nd International Conference on Advanced Information and Communication Technologies (AICT), Lviv, 4–7 July, 2017, 31–34.

[13] Vistak M. et al.: Optical triglycerides biosensor on the base of cholesteric liguid crystals. 2nd International Conference on Advanced Information and Communication Technologies, AICT 2017, 2017, 8020058, 31–34. DOI: https://doi.org/10.1109/AIACT.2017.8020058

[14] Vistak M. V. et al.: The optoelectronic sensor creatinine and urea. Proc. SPIE 10445, 104453Q, 2017. DOI: https://doi.org/10.1117/12.2280990

[15] Wójcik W. et al.: Information Technology in Medical Diagnostics. CRC Press, 2017. DOI: https://doi.org/10.1201/9781315098050

[16] Wójcik W. et al.: Information Technology in Medical Diagnostics II. Taylor & Francis Group. CRC Press, Balkema Book, London 2019. DOI: https://doi.org/10.1201/9780429057618

Diskovskyi, I., Kachurak, Y., Syzon, O., Kolishetska, M., Pinaiev, B., & Stoliarenko, O. (2025). Metrological feature for determining the concentration of cholesterol, triglycerides, and phospholipids for psoriasis detection. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 15(1), 135–138. https://doi.org/10.35784/iapgos.7061

Metrological feature for determining the concentration of cholesterol, triglycerides, and phospholipids for psoriasis detection

Issue Vol. 15 No. 1 (2025)

Archives

DOI

Authors

Abstract

Keywords:

References

License

Article Sidebar

Issue Vol. 15 No. 1 (2025)

Archives

Main Article Content

DOI

Authors

Abstract

Keywords:

References

Article Details

License