口腔癌患者血浆的拉曼光谱特征

P. Rekha, P. Aruna, Amuthachelvi Daniel, S. W. Prasanna, K. Udayakumar, S. Ganesan, G. Bharanidharan, Balu David
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引用次数: 9

摘要

拉曼光谱是一种多功能的技术,用于探测分子的振动或旋转转变,并提取有关被调查样品的生化成分的完整信息。细胞的代谢终产物被释放到循环血液中,会改变生物分子,从而改变它们的光谱特征。在此基础上,利用Lab RAM HR 800 (HORIBA Jobin Yvon, France)仪器的血浆拉曼光谱(光谱范围为800 ~ 1800 cm-1),对14名口腔癌患者和14名健康受试者进行了初步鉴别研究。从蛋白质、氨基酸、葡萄糖和脂质等生物成分的谱图来看,癌症患者与健康者之间存在显著差异。口腔癌患者的白蛋白中苯丙氨酸(939,1002 cm-1)、葡萄糖(1124 cm-1)、色氨酸(1205和1342 cm-1)、酰胺III (1247 cm-1)和磷脂(1450和1656 cm-1)等生物成分对应的拉曼峰与健康受试者不同。癌症患者的平均光谱在1002 cm-1的蛋白质峰、1450 cm-1的脂质峰和1656 cm-1的脂质峰上出现了明显的蓝移,癌症光谱的强度总体下降。利用主成分分析(PCA)和线性判别分析(LDA)等多元统计方法对800 ~ 1800 cm-1范围内的拉曼光谱进行分析。这一结果对口腔癌患者血浆与健康人血浆的鉴别具有重要意义。
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Raman spectroscopic characterization of blood plasma of oral cancer
Raman Spectroscopy is a versatile technique to probe in to the vibrational or rotational transitions of a molecule and extract complete information about the biochemical composition of the sample under investigation. The metabolic end products of the cell that were released in to the circulating blood would change the biological molecules and thus alter their spectral signatures. Based on this, a pilot study was carried out to discriminate oral cancer patients (n=14) from that of healthy subjects (n=14), using the Raman spectroscopy of blood plasma using Lab RAM HR 800 (HORIBA Jobin Yvon, France) instrument for the spectral range 800- 1800 cm-1. From the spectral profiles of the bio constituents such as protein, amino acids, glucose and lipid, markable difference was observed between the cancer patients and the healthy subjects. Raman peaks corresponding to bio components such as phenylalanine in albumin (939, 1002 cm-1), glucose (1124 cm-1), tryptophan (1205 & 1342 cm-1), amide III (1247 cm-1) and phospholipids (1450 & 1656 cm-1) were different for oral cancer patients from that of healthy subjects. The averaged spectra of cancer patients showed a noticeable blue shift for the peaks corresponding to protein at 1002 cm-1, lipid at 1450 and 1656 cm-1 and a overall decrease in intensity was observed for cancer spectrum. Further, the Raman spectra were analyzed employing the multivariant statistical methods such as principal component analysis (PCA) and linear discriminant analysis (LDA), for the range 800- 1800 cm-1. The results were promising in discriminating blood plasma of oral cancer patients from that of healthy ones.
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