基于系统识别技术的pdms - sog -硅基PCR微芯片制备工艺优化

V. Korampally, S. Bhattacharya, Yuanfang Gao, S. Grant, S. Kleiboeker, K. Gangopadhyay, Jinglu Tan, S. Gangopadhyay
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引用次数: 0

摘要

在硅- sog - pdms(聚二甲基硅氧烷)平台上实现了一种集成薄膜加热器和温度检测器的聚合酶链反应(PCR)微芯片。准确的温度传感和控制对PCR反应非常重要。这就排除了温度传感器放置在PCR室以外的任何地方,这在某些微芯片设计中使制造方法复杂化。本文介绍了一种基于薄膜电阻的温度检测器(RTD)的设计和优化布局,用于检测芯片底部(加热器侧)的温度响应,并预测芯片顶部(PCR室侧)的温度响应。采用基于输入输出数据的参数黑盒方法对系统进行了热建模。从系统的稳态响应出发,生成了伪随机二值序列(PRBS)来激励系统。推导了二阶和四阶ARX(带外源输入的自回归)模型用于最优控制,并比较了它们的性能。在温度传感器的最佳放置方面,提出了降低制造复杂性的方法
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of Fabrication Process for a PDMS-SOG-Silicon Based PCR Micro Chip through System Identification Techniques
A polymerase chain reaction (PCR) micro-chip with integrated thin film heaters and temperature detectors has been realized on a silicon-SOG-PDMS (poly-di(methyl) siloxane) platform. Accurate temperature sensing and control is important for a PCR reaction. This precludes the placement of the temperature sensor anywhere else but within the PCR chamber which can, in certain microchip designs complicate the fabrication methodology. This paper presents the design and optimal placement of a thin film resistance based temperature detector (RTD) for sensing of temperature response on the bottom of the chip (heater side) and predicting the temperature response on the top of the chip (PCR chamber side). Thermal modeling of the system has been performed using a parametric black-box approach based on the input-output data. From the steady state response of the system, pseudo random binary sequences (PRBS) have been generated and used to excite it. Second and fourth order ARX (auto regressive with exogenous inputs) models have been derived for optimal control and their performances have been compared. Reduction of fabrication complexity in regards to optimal placement of temperature sensor has been proposed
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