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首页> 外文期刊>IEEE sensors journal >Introducing State Variables in Organic Electrochemical Transistors With Application to Biophysical Systems
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Introducing State Variables in Organic Electrochemical Transistors With Application to Biophysical Systems

机译:用应用于生物物理系统的有机电化学晶体管中的状态变量

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Organic electrochemical transistors (OECTs) are transducing devices that, placed in contact with an electrolyte solution, detect the ionic composition of that solution by measuring the channel current I. OECTs enable the streaming of continuously updated zero-to-low latency information and show, therefore, promise for being used as highly efficient biosensors. Nevertheless, apart from simple geometries, decoding such an information may be infeasible. Here, we show how I can be processed to derive a reduced set of two variables that account for most of the information of a system: 1) the modulation m is the current gained by the system compared to its initial value; and 2) the effective time t(e) is the time over which the response of the system stays above the 65% of its final value. m and t(e) can be reported in a diagram that is akin to the state space diagrams used in thermodynamics: points in the diagram describe the state of a system at a specific time; trajectories in the diagram describe the time evolution of that system. We show that the total electric charge Q exchanged by the system between two states A and B is independent on the path taken between them. This, in turn, implies that m and t(e) are state variables of the system. In experiments with Solanum lycopersicum tomato plants, we show how this concept can be used to extract relevant information about a biophysical system without direct knowledge of its internal workings.
机译:有机电化学晶体管(OET)是转换装置,其置于与电解质溶液接触,通过测量通道电流I检测该溶液的离子组成。OETS使得能够速率更新的零点延迟信息并显示,因此,承诺被用作高效的生物传感器。然而,除了简单的几何形状之外,解码这些信息可能是不可行的。在这里,我们展示了如何处理以获得减少一组减少的两个变量,该变量占系统的大多数信息:1)调制M与其初始值相比由系统获得的电流; 2)有效时间T(e)是系统响应在其最终值的65%高于65%的时间。 M和T(e)可以在类似于热力学中使用的状态空间图的图中报告:图中的点描述了特定时间的系统状态;图中的轨迹描述了该系统的时间演变。我们表明,两个状态A和B之间的系统交换的总电荷Q是独立于它们之间所采取的路径。反过来,这意味着M和T(e)是系统的状态变量。在Solanum Lycopersicum番茄植物的实验中,我们展示了如何使用该概念来提取有关生物物理系统的相关信息,而不会直接了解其内部运作。

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