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Integrated label-free silicon nanowire sensor arrays for (bio)chemical analysis

机译:集成的无标记硅纳米线传感器阵列,用于(生物)化学分析

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摘要

We present a label-free (bio)chemical analysis platform that uses all-electrical silicon nanowire sensor arrays integrated with a small volume microfluidic flow-cell for real-time (bio) chemical analysis and detection. The integrated sensing platform contains an automated multi-sample injection system that eliminates erroneous sensor responses from sample switching due to flow rate fluctuations and provides precise sample volumes down to 10 nl. Biochemical sensing is demonstrated with real-time 15-mer DNA-PNA (peptide nucleic acid) duplex hybridization measurements from different sample concentrations in a low ionic strength, and the equilibrium dissociation constant K-D approximate to 140 nM has been extracted from the experimental data using the first order Langmuir binding model. Chemical sensing is demonstrated with pH measurements from different injected samples in flow that have sensitivities consistent with the gate-oxide materials. A differential sensor measurement configuration results in a 30x reduction in sensor drift. The integrated label-free analysis platform is suitable for a wide range of small volume chemical and biochemical analyses.
机译:我们提供了一个无标签的(生物)化学分析平台,该平台使用全电的硅纳米线传感器阵列和一个小体积的微流控流通池进行实时(生物)化学分析和检测。集成的感应平台包含一个自动的多样品进样系统,该系统消除了由于流速波动而引起的样品切换错误的传感器响应,并提供了精确到10 nl的样品量。通过低离子强度下不同样品浓度的实时15-mer DNA-PNA(肽核酸)双重杂交测量证明了生化感应,并已使用以下方法从实验数据中提取了约140 nM的平衡解离常数KD一阶Langmuir绑定模型。化学感应通过流动中不同注入样品的pH测量证明,其灵敏度与栅极氧化物材料一致。差分传感器测量配置可将传感器漂移降低30倍。集成的无标记分析平台适用于各种小体积化学和生化分析。

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