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可编程生物纳米芯片琼脂糖珠内生物标志物和试剂的位置。

Location of biomarkers and reagents within agarose beads of a programmable bio-nano-chip.

机构信息

Department of Chemistry, University of Texas at Austin, Austin, TX 78712, USA.

出版信息

Small. 2011 Mar 7;7(5):613-24. doi: 10.1002/smll.201002089. Epub 2011 Feb 2.

Abstract

The slow development of cost-effective medical microdevices with strong analytical performance characteristics is due to a lack of selective and efficient analyte capture and signaling. The recently developed programmable bio-nano-chip (PBNC) is a flexible detection device with analytical behavior rivaling established macroscopic methods. The PBNC system employs ≈300 μm-diameter bead sensors composed of agarose "nanonets" that populate a microelectromechanical support structure with integrated microfluidic elements. The beads are an efficient and selective protein-capture medium suitable for the analysis of complex fluid samples. Microscopy and computational studies probe the 3D interior of the beads. The relative contributions that the capture and detection of moieties, analyte size, and bead porosity make to signal distribution and intensity are reported. Agarose pore sizes ranging from 45 to 620 nm are examined and those near 140 nm provide optimal transport characteristics for rapid (<15 min) tests. The system exhibits efficient (99.5%) detection of bead-bound analyte along with low (≈2%) nonspecific immobilization of the detection probe for carcinoembryonic antigen assay. Furthermore, the role analyte dimensions play in signal distribution is explored, and enhanced methods for assay building that consider the unique features of biomarker size are offered.

摘要

具有强分析性能特点的经济高效的医学微器件的缓慢发展是由于缺乏选择性和有效的分析物捕获和信号转导。最近开发的可编程生物-纳米芯片(PBNC)是一种具有与现有宏观方法相媲美的分析行为的灵活检测设备。PBNC 系统采用直径约 300μm 的珠状传感器,由琼脂糖“纳米网”组成,填充在具有集成微流控元件的微机电支撑结构中。这些珠子是一种高效且选择性的蛋白质捕获介质,适用于复杂流体样品的分析。显微镜和计算研究探测了珠子的 3D 内部。报告了部分捕获和检测、分析物大小和珠子孔隙率对信号分布和强度的相对贡献。检查了孔径范围为 45 至 620nm 的琼脂糖,并发现孔径接近 140nm 时可提供快速(<15min)测试的最佳传输特性。该系统能够高效(99.5%)地检测到与珠体结合的分析物,同时对癌胚抗原检测的检测探针的非特异性固定率低(≈2%)。此外,还探讨了分析物尺寸在信号分布中的作用,并提供了考虑生物标志物尺寸独特特征的增强型检测方法。

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