Zhu M F, Ye X P, Huang Y Y, Guo Z Y, Zhuang Z F, Liu S H
MOE Key Laboratory of Laser Life Science & Laboratory of Photonic Chinese Medicine, College of Biophotonics, South China Normal University, Guangzhou, P.R. China.
Scanning. 2014 Sep-Oct;36(5):471-8. doi: 10.1002/sca.21143. Epub 2014 Apr 12.
Raman spectroscopy has been shown to have the potential for revealing oxygenated and spin ability of hemoglobin. In this study, confocal micro-Raman spectroscopy is developed to monitor the effect of sodium nitrite on oxyhemoglobin (HbO2 ) in whole blood. We observe that the band at 1,638 cm(-1) which is sensitive to the oxidation state decreases dramatically, while the 1,586 cm(-1) (low-spin state band) reduces both in methemoglobin (MetHb) and poisoning blood. Our results show that adding in sodium nitrite lead to the transition from HbO2 (Fe(2+) ) to MetHb (Fe(3+) ) in whole blood, and the iron atom converts from the low spin state to the high spin state with a delocalization from porphyrin plane. Moreover, multivariate statistical techniques, including principal components analysis (PCA) and linear discriminant analysis (LDA) are employed to develop effective diagnostic algorithms for classification of spectra between pure blood and poisoning blood. The diagnostic algorithms based on PCA-LDA yield a diagnostic sensitivity of 100% and specificity of 100% for separating poisoning blood from normal blood. Receiver operating characteristic (ROC) curve further confirms the effectiveness of the diagnostic algorithm based on PCA-LDA technique. The results from this study demonstrate that Raman spectroscopy combined with PCA-LDA algorithms has tremendous potential for the non-invasive detection of nitrite poisoning blood.
拉曼光谱已被证明具有揭示血红蛋白的氧化态和自旋能力的潜力。在本研究中，开发了共聚焦显微拉曼光谱来监测亚硝酸钠对全血中氧合血红蛋白（HbO2）的影响。我们观察到，对氧化态敏感的1638 cm-1处的谱带显著降低，而1586 cm-1（低自旋态谱带）在高铁血红蛋白（MetHb）和中毒血液中均降低。我们的结果表明，在全血中加入亚硝酸钠会导致从HbO2（Fe(2+)）向MetHb（Fe(3+)）的转变，并且铁原子从低自旋态转变为高自旋态，同时从卟啉平面发生离域。此外，采用了包括主成分分析（PCA）和线性判别分析（LDA）在内的多元统计技术，以开发用于区分纯血和中毒血液光谱的有效诊断算法。基于PCA-LDA的诊断算法在区分中毒血液和正常血液时，诊断灵敏度为100%，特异性为100%。受试者工作特征（ROC）曲线进一步证实了基于PCA-LDA技术的诊断算法的有效性。本研究结果表明，拉曼光谱结合PCA-LDA算法在亚硝酸中毒血液的无创检测方面具有巨大潜力。
