拥抱不完美:卷对卷制造环境传感器的内在可变性如何实现自校准,高精度群体感应

Ajanta Saha, Sarath Gopalakrishnan, J. Waimin, S. Sedaghat, Ye Mi, N. Glassmaker, Mukkerem Cakmak, A. Shakouri, R. Rahimi, Muhammad A. Alam
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引用次数: 1

摘要

卷对卷(R2R)工艺非常适合制造低成本、小型化、固体接触离子选择电极(ISEs)的电位传感器,用于环境、工业和医疗保健应用中的各种分析物的连续监测。据推测,R2R工艺的固有厚度可变性将限制基于ise的传感器的精度,并使其不如采用更高精度制造工艺制造的传感器。相反,在本文中,我们建议使用R2R过程的内在可变性作为“资源”,即使传感器在不受控制的现场条件下运行,也可以实现高精度传感。这是通过应用一种全新的物理指导的统计方法来实现的,包括:(i)“自校准”,我们通过R2R可变性引起的ISEs的差分测量来计算温度,以校准温度不受控制条件下的传感器,以及(ii)“群体感应”,我们使用R2R制造的传感器集合来估计真实浓度,考虑到贝叶斯最大似然估计方法计算的每个传感器的可信度。通过这两种新技术,我们展示了使用“低精度”R2R传感器在传统高精度商用硝酸盐传感器测量的地面真值的10%范围内连续测量农田硝酸盐浓度15天。
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Embrace the Imperfection: How Intrinsic Variability of Roll-to-Roll Manufactured Environmental Sensors Enable Self-Calibrating, High-Precision Quorum Sensing
Roll-to-Roll (R2R) process is well suited for manufacturing low cost, miniaturized, solid contact Ion-selective electrodes (ISEs) of potentiometric sensors to be used for continuous monitoring of various analytes in environmental, industrial, and health-care applications. It is presumed that the intrinsic thickness variability of the R2R process would limit the accuracy of the ISE-based sensors and would make them inferior to sensors fabricated by higher precision manufacturing processes. Instead, in this paper we propose to use the intrinsic variability of R2R process as a “resource” to achieve high-accuracy sensing even when the sensors are operated in uncontrolled field conditions. This is achieved by applying a fundamentally new physics-guided statistical approach involving: (i) ‘Self calibration’ where we calculate temperature from differential measurement of the ISEs induced by R2R variability to calibrate the sensors in uncontrolled temperature condition, and (ii) ‘Quorum sensing’ where we use a collection of R2R manufactured sensors to estimate the true concentration considering credibility of each sensor calculated by Bayesian Maximum Likelihood Estimation method. With these two new techniques, we demonstrate the use of “low-precision” R2R sensors to measure nitrate concentration of an agricultural field continuously over a period of 15 days within 10% of the ground-truth measured by the traditional high-precision commercial nitrate sensor.
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