基于智能手机的白细胞定量微流控生物传感器

M. Sami, Kurt Wagner, P. Parikh, U. Hassan
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引用次数: 5

摘要

本文介绍了基于智能手机的生物传感器的结构和工作,用于在护理点量化白细胞。该生物传感器由分辨率为6.2 μm的微型智能手机附件和用于捕获白细胞的一次性微流控生物芯片组成。从全血中分离出多形核白细胞(PMNL),然后将其植入PBS溶液中模拟各种疾病患者的生物样本。为了捕获所有的白细胞,将抗人CD45抗体固定在微流控生物芯片的捕获室中1小时进行吸附。将加入白细胞的PBS样品以10 μl/min的速度流过微流控生物芯片,捕获白细胞。然后用50 μl的绿色核染色液流过生物芯片进行荧光成像。通过在智能手机设置中成像生物芯片来验证白细胞捕获。然后使用ImageJ从捕获的图像中检测和定量白细胞。所获得的结果表明,在护理点检测来自不同体液的多种生物标志物的这种设置的可行性。
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Smartphone Based Microfluidic Biosensor for Leukocyte Quantification at the Point-of-Care
The architecture and working of a smartphone-based biosensor for the quantification of leukocytes at point of care is presented in this paper. The biosensor consists of a microscopic smartphone attachment with a resolution of 6.2 μm and a disposable microfluidic biochip for capturing leukocytes. Polymorphonuclear leukocytes (PMNL) were isolated from whole blood before being seeded into PBS solution to mimic the biological samples from patients suffering from various diseases. To capture all the leukocytes, antihuman CD45 antibody was immobilized in the capture chamber of microfluidic biochip for one hour for adsorption. Leukocyte spiked PBS sample was then flowed through the microfluidic biochip at 10 μl/min for capturing leukocytes. 50 μl of a green nuclear stain was then flowed through the biochip for fluorescent imaging. Leukocyte capture was verified by imaging the biochip in the smartphone setup. ImageJ was then used for detection and quantification of leukocytes from the captured images. The obtained results showcase the feasibility of this setup for detection of multiple biomarkers from different body fluids at point of care.
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