Ultraviolet/Visible and Near-Infrared Dual Spectroscopic Method for Detection and Quantification of Low-Level Malaria Parasitemia in Whole Blood
Ultraviolet/Visible and Near-Infrared Dual Spectroscopic Method for Detection and Quantification of Low-Level Malaria Parasitemia in Whole Blood
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DOI：
10.1021/acs.analchem.1c02948
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发表时间：
2021-09-24
影响因子：
7.4
通讯作者：
Wood, Bayden R.
中科院分区：
文献类型：
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作者：
Adegoke, John A.;De Paoli, Amanda;Wood, Bayden R.
在非洲和东南亚，疟疾感染的祸害对孕妇和儿童的打击仍然最严重。为了全球消除，迫切需要对低水平环形阶段寄生虫血症超灵敏的检测方法。在这项研究中，我们使用了一种新的方法来诊断疟疾感染，通过结合电子紫外-可见（UV/维斯）光谱和近红外（NIR）光谱来检测和量化低水平的（1-0.000001%）在生理条件下使用多类分类使用逻辑回归的环状阶段疟疾感染的全血，这表明使用扩展的波长范围获得了最好的结果，对于大多数寄生虫血症类别提供了100%的准确度。同样，偏最小二乘回归（PLS-R）分析显示，与UV/维斯和NIR（分别为R-2 = 0.806和0.556）相比，扩展光谱区域的定量灵敏度更高（R-2 = 0.898）。为了量化不同阶段的血液寄生虫，与单独测试每个光谱成分相比，扩展的波长范围能够准确地检测和量化所有恶性疟原虫。这些结果表明，一个组合的紫外/可见-近红外光谱，以准确诊断疟疾感染的患者，而不需要精心的样品制备与现有的中红外方法的潜力。
The scourge of malaria infection continues to strike hardest against pregnant women and children in Africa and South East Asia. For global elimination, testing methods that are ultrasensitive to low-level ring-staged parasitemia are urgently required. In this study, we used a novel approach for diagnosis of malaria infection by combining both electronic ultraviolet-visible (UV/vis) spectroscopy and near infrared (NIR) spectroscopy to detect and quantify low-level (1-0.000001%) ring-staged malaria-infected whole blood under physiological conditions uisng Multiclass classification using logistic regression, which showed that the best results were achieved using the extended wavelength range, providing an accuracy of 100% for most parasitemia classes. Likewise, partial least-squares regression (PLS-R) analysis showed a higher quantification sensitivity (R-2 = 0.898) for the extended spectral region compared to UV/vis and NIR (R-2 = 0.806 and 0.556, respectively). For quantifying different-stage blood parasites, the extended wavelength range was able to detect and quantify all the Plasmodium falciparum accurately compared to testing each spectral component separately. These results demonstrate the potential of a combined UV/vis-NIR spectroscopy to accurately diagnose malaria-infected patients without the need for elaborate sample preparation associated with the existing mid-IR approaches.