基于拉曼光谱的血清成分分析用于胃癌诊断：体外研究。
A Raman-based serum constituents' analysis for gastric cancer diagnosis: In vitro study.
机构信息
Hazrat-e Masoumeh University, Qom, Iran.
Laser and Plasma Research Institute, Shahid Beheshti University, Tehran, Iran.
出版信息
Talanta. 2019 Nov 1;204:826-832. doi: 10.1016/j.talanta.2019.06.068. Epub 2019 Jun 19.
The importance of blood serum testing in most medical diagnosis has led researchers to seek for a reliable analysis method. Raman spectroscopy is a potential tool for probing serum components due to its real-time and non-destructive measurements without need to any additional reagents. So, Raman spectroscopy for the analysis and discrimination of human serum of healthy and gastric cancer subjects is investigated in this work. In order to find the correlation between Raman spectra and enzymatic test results of glucose, cholesterol, HDL, LDL and triglycerides of serum samples, the partial least squares regression (PLSR) method is utilized. Moreover, the Raman spectroscopy is used to distinguish between serum samples of healthy people and gastric cancer patients using partial least square discriminant analysis (PLS-DA) method. Correlation results reveal that for all serum components, the correlation coefficients between Raman spectra and all enzymatic test results are above 94% significantly. Discrimination results of healthy subjects and gastric cancer patients show that 87.5 ± 2.5% of healthy and gastric cancer subjects are diagnosed properly. Our preliminary results can confirm the Raman method in analysis of serum and also as a diagnostic tool in screening of gastric cancer.
血清检测在大多数医学诊断中的重要性促使研究人员寻求一种可靠的分析方法。由于拉曼光谱具有实时、无损测量的特点，无需任何额外的试剂，因此是探测血清成分的一种潜在工具。因此，本工作研究了拉曼光谱在分析和鉴别健康人和胃癌患者血清方面的应用。为了找到拉曼光谱与血清样本中葡萄糖、胆固醇、HDL、LDL 和甘油三酯的酶测试结果之间的相关性，利用偏最小二乘回归（PLSR）方法。此外，还利用偏最小二乘判别分析（PLS-DA）方法，通过拉曼光谱来区分健康人和胃癌患者的血清样本。相关结果表明，对于所有血清成分，拉曼光谱与所有酶测试结果之间的相关系数均显著高于 94%。健康受试者和胃癌患者的判别结果表明，87.5%±2.5%的健康人和胃癌受试者得到了正确诊断。我们的初步结果可以证实拉曼法在血清分析中的应用，也可以作为胃癌筛查的一种诊断工具。
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