Department of Medical Physics, School of Health Sciences, University of Ioannina, Ioannina, Greece.
Department of Skin and Venereal Diseases, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece.
J Biophotonics. 2023 Jul;16(7):e202300040. doi: 10.1002/jbio.202300040. Epub 2023 Apr 27.
The purpose of this work was to enhance the diagnostic accuracy of nail Raman spectroscopy for fungal nail infections, specifically onychomycosis caused by Trichophyton rubrum. The study assessed the different ethyl alcohol retention rates between control and infected nails after soaking nail clippings in ethanolic solutions and drying. Results revealed that ethyl alcohol completely evaporated from infected nail samples, while significant amounts were still present in control samples. Principal component analysis (PCA) was applied to discriminate control from infected nails and showed superior group separation when nails were treated with ethyl alcohol. PCA loadings plot attributed the efficient classification to the ν (CCO) Raman vibrational mode of ethyl alcohol. As Raman spectroscopy can detect minute concentration changes of ethyl alcohol in nails and the deterioration caused by onychomycosis accelerates its evaporation, a simple and rapid method for detecting T. rubrum onychomycosis is proposed.
本研究旨在提高指甲拉曼光谱诊断真菌性指甲感染(尤其是红色毛癣菌引起的甲癣)的准确性。研究评估了将指甲屑浸泡在乙醇溶液中并干燥后,对照指甲和感染指甲的不同乙醇保留率。结果表明,感染指甲样本中的乙醇完全蒸发,而对照样本中仍有大量乙醇残留。主成分分析(PCA)用于区分对照和感染指甲,当指甲用乙醇处理时,显示出更好的组间分离。PCA 载荷图将有效分类归因于乙醇的ν(CCO)拉曼振动模式。由于拉曼光谱可以检测指甲中乙醇的微小浓度变化,而且甲癣会加速其蒸发,因此提出了一种简单快速的方法来检测红色毛癣菌甲癣。