Micro-Raman Spectroscopy Monitor Methemoglobin Induced by Sodium Nitrite in Whole Blood

Shen, Guobin; Yan, T.Z.; Gu, Huaimin; Wei, Huajiang

doi:10.1109/icbbe.2008.698

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…The main intensity differences locate at around 677 cm −1 ( ν 7 ), 1,375 cm −1 ( ν 4 ), 1,586 cm −1 ( ν 37 ), 1,638 cm −1 ( ν 10 ). These results are in agreement with the other reports (Shen et al ., ).…”

Section: Discussionmentioning

confidence: 97%

“…Recently, Shen et al . () monitored MetHb induced by sodium nitrite with 514 nm excitation, they observed that the intensity of low‐spin marker band at 1,585 cm −1 and the oxygenic indicator band at 1,637 cm −1 decreased in MetHb. These studies showed the tremendously potential of Raman spectroscopy as a new approach for detection of MetHb.…”

Section: Introductionmentioning

confidence: 99%

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Detection of methemoglobin in whole blood based on confocal micro‐raman spectroscopy and multivariate statistical techniques

Zhu

Ye²,

Huang

et al. 2014

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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.

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Section: Discussionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%