IMEM - CNR Institute of Materials for Electronics and Magnetism, Parco Area delle Scienze 37/A, 43124, Parma, Italy.
Physics Department and Ph.D. School on Material Science and Technology, University of Parma, Parma, Italy.
Sci Rep. 2021 Apr 30;11(1):9380. doi: 10.1038/s41598-021-88546-4.
In several biomedical applications, the detection of biomarkers demands high sensitivity, selectivity and easy-to-use devices. Organic electrochemical transistors (OECTs) represent a promising class of devices combining a minimal invasiveness and good signal transduction. However, OECTs lack of intrinsic selectivity that should be implemented by specific approaches to make them well suitable for biomedical applications. Here, we report on a biosensor in which selectivity and a high sensitivity are achieved by interfacing, in an OECT architecture, a novel gate electrode based on aptamers, Au nanoparticles and graphene hierarchically organized to optimize the final response. The fabricated biosensor performs state of the art limit of detection monitoring biomolecules, such as thrombin-with a limit of detection in the picomolar range (≤ 5 pM) and a very good selectivity even in presence of supraphysiological concentrations of Bovine Serum Albumin (BSA-1mM). These accomplishments are the final result of the gate hierarchic structure that reduces sterich indrance that could contrast the recognition events and minimizes false positive, because of the low affinity of graphene towards the physiological environment. Since our approach can be easily applied to a large variety of different biomarkers, we envisage a relevant potential for a large series of different biomedical applications.
在一些生物医学应用中,生物标志物的检测需要高灵敏度、选择性和易于使用的设备。有机电化学晶体管(OECT)是一类很有前途的器件,它结合了最小的侵入性和良好的信号转导。然而,OECT 缺乏内在的选择性,这应该通过特定的方法来实现,使其非常适合生物医学应用。在这里,我们报告了一种基于适体、金纳米粒子和石墨烯的新型门电极的生物传感器,该电极在 OECT 结构中实现了选择性和高灵敏度,通过分层组织来优化最终的响应。所制备的生物传感器在检测生物分子方面具有最新的检测极限,例如凝血酶-检测极限可达皮摩尔范围(≤5 pM),即使在牛血清白蛋白(BSA-1mM)的超生理浓度存在下,也具有很好的选择性。这些成就得益于门的分层结构,该结构降低了空间位阻,减少了对识别事件的阻碍,并由于石墨烯对生理环境的低亲和力而最小化了假阳性。由于我们的方法可以很容易地应用于各种不同的生物标志物,因此我们设想它在一系列不同的生物医学应用中有很大的潜力。