Department of Chemistry, Faculty of Arts and Sciences, University of Toronto, Toronto, Ontario, Canada M5S 3M2.
Nat Commun. 2013;4:2001. doi: 10.1038/ncomms3001.
Electronic readout of markers of disease provides compelling simplicity, sensitivity and specificity in the detection of small panels of biomarkers in clinical samples; however, the most important emerging tests for disease, such as infectious disease speciation and antibiotic-resistance profiling, will need to interrogate samples for many dozens of biomarkers. Electronic readout of large panels of markers has been hampered by the difficulty of addressing large arrays of electrode-based sensors on inexpensive platforms. Here we report a new concept--solution-based circuits formed on chip--that makes highly multiplexed electrochemical sensing feasible on passive chips. The solution-based circuits switch the information-carrying signal readout channels and eliminate all measurable crosstalk from adjacent, biomolecule-specific microsensors. We build chips that feature this advance and prove that they analyse unpurified samples successfully, and accurately classify pathogens at clinically relevant concentrations. We also show that signature molecules can be accurately read 2 minutes after sample introduction.
电子读取疾病标志物在检测临床样本中的小面板生物标志物时提供了引人注目的简单性、灵敏度和特异性;然而,对于疾病的最重要的新兴检测,如传染病分类和抗生素耐药性分析,将需要对许多数十种生物标志物进行检测。在廉价平台上对大量基于电极的传感器进行寻址的困难阻碍了对大型标记物面板的电子读取。在这里,我们报告了一个新的概念--在芯片上形成基于溶液的电路--使得在被动芯片上进行高度多重化的电化学生物传感成为可能。基于溶液的电路切换承载信息的信号读出通道,并消除来自相邻、生物分子特异性微传感器的所有可测量串扰。我们构建了具有这一优势的芯片,并证明它们可以成功分析未纯化的样本,并以临床相关浓度准确地对病原体进行分类。我们还表明,在样品引入后 2 分钟即可准确读取特征分子。