基于拉曼光谱技术的甲状腺疾病检测的研究

doi:10.3964/j.issn.1000-0593(2017)11-3471-04

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摘要：基于光学成像与光谱技术的无损检测是生物医学光学交叉领域研究的重要发展方向。其中拉曼光谱技术可获得检测对象的生化成分的“指纹信息”，被广泛应用于面向生物分子，细胞以及生物组织的检测诊断研究。甲状腺疾病尤其肿瘤的临床检测往往涉及多方法和技术手段的结合，且存在一定的诊断难度，因此发展新的检测技术方法具有重要的意义。首先综述了拉曼光谱技术在甲状腺细胞系的单细胞拉曼光谱检测与分析，然后介绍甲状腺病理组织和甲状腺正常组织的拉曼光谱鉴别诊断(特别介绍了本研究小组开展以银纳米粒子为增强基底的甲状腺离体组织SERS光谱研究情况)，以及拉曼光谱技术在甲状腺激素等方面的研究概况。最后简要探讨了拉曼光谱技术在该领域的研究应用前景和发展方向。

关键词：拉曼光谱；甲状腺组织；甲状腺激素；显微成像

Abstract：Non-invasive detection based on optical imaging and spectroscopy is an important development direction in the field of biomedical optics. Among which, Raman spectroscopy was widely applied for biomolecular, cellular and bio-tissue level diagnosis due to its advantage of providing biochemical “fingerprint” information of the targets being detected. The detection of thyroid disease, especially the clinical detection of thyroid tumors often involves the combination of multiple methods and techniques, and it faces some degrees of diagnostic challenge, so the development of new detection methods is of great significance. This review mainly focuses on research advances of Raman spectroscopic detection and analysis of single thyroid cells, differentiation and diagnosis between pathological thyroid tissue and normal thyroid tissue (especially our recent research work about silver nanoparticle based surface-enhanced Raman analysis and diagnosis between pathological thyroid tissue and normal thyroid tissue) and recent Raman analysis of thyroid hormones as well. The application prospect and future directions of Raman spectroscopy in this area was also briefly discussed.

Key words：Raman spectroscopy; Thyriod tissue; Microimaging

收稿日期: 2016-10-10 修订日期: 2017-03-05

中图分类号:

O433.4

基金资助: 国家自然科学基金项目(61308113，61210016，11274065)，福建省自然科学基金项目(2013J01225)，教育部“长江学者和创新团队发展计划”创新团队项目滚动支持计划(IRT_15R10)资助

作者简介: 黄祖芳，1981年生，福建师范大学副研究员 e-mail: zfhuang@fjnu.edu.cn

引用本文:

黄祖芳，戈小松，李永增，陈冠楠，冯尚源，林居强，雷晋萍. 基于拉曼光谱技术的甲状腺疾病检测的研究[J]. 光谱学与光谱分析, 2017, 37(11): 3471-3474.
HUANG Zu-fang, GE Xiao-song, LI Yong-zeng, CHEN Guan-nan, FENG Shang-yuan, LIN Ju-qiang, LEI Jin-ping. Diagnosis of Human Thyroid Diseases Based on Raman Spectroscopy. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(11): 3471-3474.

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