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A negative-pressure-driven microfluidic chip for the rapid detection of a bladder cancer biomarker in urine using bead-based enzyme-linked immunosorbent assay

机译:负压驱动微流控芯片用于基于珠子的酶联免疫吸附测定法快速检测尿液中的膀胱癌生物标志物

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摘要

This paper describes an integrated microfluidic chip that is capable of rapidly and quantitatively measuring the concentration of a bladder cancer biomarker, apolipoprotein A1, in urine samples. All of the microfluidic components, including the fluid transport system, the micro-valve, and the micro-mixer, were driven by negative pressure, which simplifies the use of the chip and facilitates commercialization. Magnetic beads were used as a solid support for the primary antibody, which captured apolipoprotein A1 in patients' urine. Because of the three-dimensional structure of the magnetic beads, the concentration range of the target that could be detected was as high as 2000 ng ml−1. Because this concentration is 100 times higher than that quantifiable using a 96-well plate with the same enzyme-linked immunosorbent assay (ELISA) kit, the dilution of the patient's urine can be avoided or greatly reduced. The limit of detection was determined to be approximately 10 ng ml−1, which is lower than the cutoff value for diagnosing bladder cancer (11.16 ng ml−1). When the values measured using the microfluidic chip were compared with those measured using conventional ELISA using a 96-well plate for five patients, the deviations were 0.9%, 6.8%, 9.4%, 1.8%, and 5.8%. The entire measurement time is 6-fold faster than that of conventional ELISA. This microfluidic device shows significant potential for point-of-care applications.
机译:本文介绍了一种集成的微流控芯片,该芯片能够快速,定量地测量尿液样本中膀胱癌生物标志物载脂蛋白A1的浓度。包括流体传输系统,微型阀和微型混合器在内的所有微流体组件均由负压驱动,从而简化了芯片的使用并促进了商业化。磁珠被用作一抗的固体支持物,一抗在患者尿液中捕获了载脂蛋白A1。由于磁珠的三维结构,可以检测到的靶标浓度范围高达2000 ng ml -1 。由于该浓度比使用具有相同酶联免疫吸附测定(ELISA)试剂盒的96孔板可定量的浓度高100倍,因此可以避免或大大减少患者尿液的稀释。确定的检出限为大约10 µng ml -1 ,低于诊断膀胱癌的临界值(11.16 ng ml -1 )。当将使用微流控芯片测得的值与使用96孔板使用常规ELISA测得的值进行比较时,有5位患者的差异为0.9%,6.8%,9.4%,1.8%和5.8%。整个测量时间比常规ELISA快6倍。这种微流体装置显示出即时医疗应用的巨大潜力。

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