首页 | 本学科首页   官方微博 | 高级检索  
     

拉曼光谱在皮肤病的应用进展
引用本文:张怡萱,李蜜,黄建玲,李遇梅. 拉曼光谱在皮肤病的应用进展[J]. 国际皮肤性病学杂志, 2017, 43(4). DOI: 10.3760/cma.j.issn.1673-4173.2017.04.002
作者姓名:张怡萱  李蜜  黄建玲  李遇梅
作者单位:江苏大学附属医院皮肤科镇江市免疫性皮肤病重点实验室,江苏镇江,212000
基金项目:国家自然科学基金,江苏省“333工程”培养资金,镇江市第七批科技计划(SS2015024)National Natural Science Foundation of China,The "333" Project of Jiangsu Province,The Science and Technology Project in Zhenjiang
摘    要:
拉曼光谱技术以其独特的非侵入性、快速、原位、高度自动化等优势,在分子识别、疾病诊断、生物分析等众多领域得到越来越多的应用.在皮肤科领域,从皮肤组织中的生理成分分布和病理状态的诊断到生物制药研究,发现不同组织层内的药物渗透动力学;从区分皮肤正常细胞和恶性肿瘤细胞到成为研究基础皮肤病发病机制的手段、特应性皮炎的基因突变的定量研究等,该技术有着巨大的应用潜力.此外,皮肤科病种繁多,对于许多疾病的确诊需要组织病理活检,拉曼光谱作为一种无创伤的诊疗手段为患者减轻痛苦.

关 键 词:光谱分析,拉曼  皮肤疾病  皮肤肿瘤  早期诊断  黑色素瘤

Application of Raman spectroscopy in skin diseases
Zhang Yixuan,Li Mi,Huang Jiangling,Li Yumei. Application of Raman spectroscopy in skin diseases[J]. International Journal of Dermatology and Venereology, 2017, 43(4). DOI: 10.3760/cma.j.issn.1673-4173.2017.04.002
Authors:Zhang Yixuan  Li Mi  Huang Jiangling  Li Yumei
Abstract:
Raman spectroscopy technology has been applied in various fields,such as molecular recognition,disease diagnosis and biological analysis,due to its unique advantages of non-invasiveness,high automation,rapid and in-situ analysis.This technology bears great potential for dermatological researches ranging from the analysis of the physiological component distribution in skin tissues and diagnosis of pathological states up to biopharmaceutical researches,such as drug penetration kinetics within different tissue layers,as well as ranging from the distinction between normal skin cells and malignant tumor cells up to researches of the pathogenesis of skin diseases and quantitative analysis of gene mutations in atopic dermatitis and so on.In addition,there is a wide range of skin diseases,and the diagnosis of many skin diseases requires biopsy pathology.Raman spectroscopy can be a non-invasive way for patients to reduce the pain during performing skin biopsy.
Keywords:Spectrum analysis,Raman  Skin diseases  Skin neoplasms  Early diagnosis  Melanoma
本文献已被 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号