CAJ | 학술논문

采用便携式拉曼光谱仪对新鲜乳腺正常组织、良性组织和恶性组织进行检测,通过稳健统计方法对拉曼光谱数据进行分析处理,建立乳腺组织拉曼光谱标准图谱,根据标准图谱特征峰归纳3类组织的主要区别和特征。在3类乳腺组织中,正常组织有明显的脂类特征峰(1078,1297,1437,1653,1746 cm-1),而在良性和恶性组织中则出现了较明显的蛋白特征峰(1259,1530,1650 cm-1),正常、良性和恶性组织的主要区别集中在1340和1534 cm-1处,应归属为蛋白和类胡萝卜素,这一结果并不能由经典统计方法得出。基于稳健统计建立的新鲜乳腺组织拉曼光谱标准图谱为构建数学模型来鉴别乳腺病灶的性质奠定了基础。
채용편휴식랍만광보의대신선유선정상조직、량성조직화악성조직진행검측,통과은건통계방법대랍만광보수거진행분석처리,건립유선조직랍만광보표준도보,근거표준도보특정봉귀납3류조직적주요구별화특정。재3류유선조직중,정상조직유명현적지류특정봉(1078,1297,1437,1653,1746 cm-1),이재량성화악성조직중칙출현료교명현적단백특정봉(1259,1530,1650 cm-1),정상、량성화악성조직적주요구별집중재1340화1534 cm-1처,응귀속위단백화류호라복소,저일결과병불능유경전통계방법득출。기우은건통계건립적신선유선조직랍만광보표준도보위구건수학모형래감별유선병조적성질전정료기출。
A portable Raman spectrometer was used for distinguishing the characteristics of normal, malig- nant and benign fresh breast tissues. Robust statistics method was used to analyze the Raman spectrum data, and a standard Raman spectral atlas of fresh breast tissues was established. Based on the spectral profiles of the Raman spectral standard atlas, the presence of lipids(1078, 1297, 1437, 1653, 1746 cm-1 ) is indicated in normal tissue. And proteins(1259, 1530, 1650 cm-1 ) are found in benign and malignant tissues. Among normal, benign and malignant tissues, proteins(1340 cm-1 ) andβ-carotene(1534 cm-1 ) are found to be good discrimination parameters, which are hardly achieved by other typical statistical methods. The established fresh breast tissue Raman spectral standard atlas based on robust statistics laid the foundation of benign and malignant breast lesions identify model.