A microfluidic approach for hemoglobin detection in whole blood
A microfluidic approach for hemoglobin detection in whole blood
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DOI：
10.1063/1.4997185
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发表时间：
2017-10-01
期刊：
影响因子：
1.6
通讯作者：
Sniadecki, Nathan J.
中科院分区：
文献类型：
--
作者：
Taparia, Nikita;Platten, Kimsey C.;Sniadecki, Nathan J.
贫血的诊断依赖于血液样本中血红蛋白水平的检测。传统的血液分析仪在大多数贫血流行的低资源地区并不容易获得，因此需要低成本和即时检测的检测方法。在这里，我们提出了一种微流体方法来测量全血样品中的血红蛋白浓度。与传统方法不同，我们的微流体方法不需要溶血。我们通过以540 nm的峰值波长照射微流体通道中的血液并使用与透镜耦合的CMOS传感器测量其吸光度以将图像放大到检测器上来光学地检测血液样品中的血红蛋白水平。我们比较测量微通道与通道高度为50和115 μ m，并发现通道与50 μ m的高度提供了更好的检测范围。由于我们使用全血而不是裂解血，因此我们将数据拟合到包括光学散射的吸收模型，以获得我们系统的校准曲线。基于此校准曲线和收集的数据，我们可以测量严重贫血病例的血红蛋白浓度，范围在1 g/dL以内。此外，我们测量了在500 s（-1）的剪切速率下流动的血液的光密度，并观察到它不影响非线性模型。通过这种方法，我们提供了一种使用微流体检测血红蛋白水平的方法，该方法可以与其他微流体方法集成用于血液分析。(C)2017年作者。
Diagnosis of anemia relies on the detection of hemoglobin levels in a blood sample. Conventional blood analyzers are not readily available in most low-resource regions where anemia is prevalent, so detection methods that are low-cost and point-of-care are needed. Here, we present a microfluidic approach to measure hemoglobin concentration in a sample of whole blood. Unlike conventional approaches, our microfluidic approach does not require hemolysis. We detect the level of hemoglobin in a blood sample optically by illuminating the blood in a microfluidic channel at a peak wavelength of 540 nm and measuring its absorbance using a CMOS sensor coupled with a lens to magnify the image onto the detector. We compare measurements in microchannels with channel heights of 50 and 115 mu m and found the channel with the 50 mu m height provided a better range of detection. Since we use whole blood and not lysed blood, we fit our data to an absorption model that includes optical scattering in order to obtain a calibration curve for our system. Based on this calibration curve and data collected, we can measure hemoglobin concentration within 1 g/dL for severe cases of anemia. In addition, we measured optical density for blood flowing at a shear rate of 500 s(-1) and observed it did not affect the nonlinear model. With this method, we provide an approach that uses microfluidic detection of hemoglobin levels that can be integrated with other microfluidic approaches for blood analysis. (C) 2017 Author(s).