北京生物醫(yī)學工程

唾液的拉曼光譜用于疾病診斷的初步研究

Preliminary Study on Disease Diagnosis by Surface Enhanced Raman Spectroscopy with Human Saliva Sample

作者：姚雨露崔子健劉春偉焦義鄭文新王燕曲典汪泓陳安宇

單位：首都醫(yī)科大學生物醫(yī)學工程學院（北京100069）

分類號：

出版年·卷·期（頁碼）：2011·30·2（137-140）

摘要：

表面增強拉曼光譜技術是近年來快速發(fā)展的一種痕量特征標記性物質檢測技術，可達到分子識別水平，且具有快速、測量條件要求低、可重復性好、無污染等優(yōu)點；人體唾液中含有大量體征相關的特異性蛋白質和分泌物質，唾液檢測具有無創(chuàng)、獲取方便、適合開展大規(guī)模普查等優(yōu)點。表面增強拉曼光譜檢測技術可以快速對唾液進行檢測，二者的結合有可能成為一種適合普查的快速檢測方法。本文采用便攜式表面增強拉曼光譜檢測儀器對44例吸毒者、45例艾滋病患者、11例肺癌患者和11例乳腺癌患者以及55例健康對照組的唾液進行測試，獲取所有樣本的拉曼光譜。應用支持向量機和隨機森林方法對以上樣本的拉曼光譜數(shù)據(jù)進行統(tǒng)計學分類。分析結果證實，對唾液樣本的拉曼光譜檢測技術可以有效地區(qū)分上述患者與健康人群。采用表面增強拉曼光譜進行唾液檢測可能成為某種疾病早期診斷的一種有效方法。

Surface enhanced Raman spectroscopy (SERS) is a trace amount substance detecting technique developing quickly in recent years. It is a physical method at molecular levels, with advantages such as quick examination, low requirements on detecting conditions, good reproducibility, and no contamination. Human saliva contains abundant proteins and substances which are related to human body’s signs, and many diseases can be diagnosed by analyzing saliva features. Additionally saliva samples can be collected conveniently and non-invasively which examination is appropriate for large-scale health surveys. SERS can detect saliva samples quickly with wide prospects. In this paper, SERS was employed to test the saliva samples from 44 drug addicts, 45 AIDS patients, 11 lung cancer patients, 11 breast cancer patients and 55 healthy controls. All spectra values of saliva samples were obtained and analyzed by methods of support vector machine and random forests respectively. The results indicated that the spectra of patients could be separated from healthy controls by statistical analysis, and it supposed the saliva test using SERS could be an effective approach for early diagnosis of certain diseases.

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