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拉曼光谱法鉴别正常肺组织和癌性肺组织。

Raman spectroscopic discrimination of normal and cancerous lung tissues.

机构信息

Department of Analytical Chemistry, University of Chemistry and Technology in Prague, Technická 5, 166 28 Prague 6, Czech Republic.

Department of Analytical Chemistry, University of Chemistry and Technology in Prague, Technická 5, 166 28 Prague 6, Czech Republic.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2019 Aug 5;219:257-266. doi: 10.1016/j.saa.2019.04.055. Epub 2019 Apr 22.

Abstract

Raman spectroscopy is non-destructive method that allows monitoring of biological tissues with minimal intervention. FT-Raman (λ 1064 nm) and NIR-Vis-Raman (λ 785 nm) spectroscopic measurements were used in ex vivo analysis of normal, non-cancerous abnormal and cancerous lung tissues. Spectroscopic discrimination of the lung tissue samples was made by the use of the ratio of characteristic bands and multivariate statistical methods (PCA, LDA). The combination of Raman spectroscopy and multivariate statistics may have a diagnostic potential for recognizing of cancer lesions in lung.

摘要

拉曼光谱是一种非破坏性的方法,允许对生物组织进行最小干预的监测。FT-Raman(λ1064nm)和 NIR-Vis-Raman(λ785nm)光谱测量用于正常、非癌性异常和癌性肺组织的离体分析。通过使用特征带的比值和多元统计方法(PCA、LDA)对肺组织样本进行光谱区分。拉曼光谱和多元统计的结合可能具有识别肺癌病变的诊断潜力。

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