摘要
拉曼光谱在检验医学领域的应用正在不断进步和发展, 基于拉曼光谱技术的生物传感平台为疾病精准分子诊断提供了一种新的手段, 特别是表面增强拉曼散射(SERS)技术作为一种快速无损的检测方法, 具有样品制备简单、受水的干扰小、实时检测等优点, 在医学检验领域显示出巨大的应用潜力。同时, 随着SERS与其他技术包括电化学、纳米新材料、微流控、生物芯片、DNA纳米机器、人工智能和机器学习等技术的集成结合, 其在医学检验领域将发挥越来越重要的作用。相信随着对SERS研究的不断深入以及多个学科领域之间的交叉融合, 其在生物医学检测领域将得到广泛应用, 并有望成为下一代精准诊断的重要技术平台。
The application of Raman spectroscopy in the field of laboratory medicine is making continuous progress and development.The biosensor platform based on Raman spectroscopy provides a new means for accurate molecular diagnosis of diseases.In particular,as a fast and non-destructive detection method,surface-enhanced Raman scattering has the advantages of simple sample preparation,little interference from water and real-time detection,and shows great application potential in the field of medical examination.At the same time,with the integration of SERS and other technologies,including electrochemistry,new nano-materials,microfluidic,biochip,DNA nano-machine,artificial intelligence and machine learning,it will play a more and more important role in the field of medical laboratory.With the deepening of SERS research and the cross-integration between multiple disciplines,it will be widely used in biomedical detection and is expected to become an important technology platform for the next generation of precision diagnosis.
作者
印晓静
任传利
韩崇旭
杨潘
周林
府伟灵
张阳
Yin Xiaojing;Ren Chuanli;Han Chongxu;Yang Pan;Zhou Lin;Fu Weiling;Zhang Yang(Department of Medical Laboratory,Clinical Medical College Affiliated toYangzhou University/the Northern Jiangsu People′s Hospital,Yangzhou 225000,China;Laboratory Department,Chongqing University Cancer Hospital,Chongqing 400000,China;Department of Medical Laboratory,First Affiliated Hospital of the Army Medical University,Chongqing 400030,China)
出处
《中华检验医学杂志》
CAS
CSCD
北大核心
2024年第3期314-322,共9页
Chinese Journal of Laboratory Medicine
基金
国家自然科学基金(82172374)
重庆市科卫联合攻关项目(2023GGXM002,2023GDRC005)
重庆市自然科学基金(CSTB2022NSCQ-MSX0272)
扬州市社会发展基金(YZ2020076)。
关键词
光谱分析
拉曼
肿瘤诊断
病原体检测
生物分子检测
Spectrum analysis,Raman
Tumor diagnosis
Pathogen detection
Biomolecular detection