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Design and optimization of a chip calorimeter for cell metabolism detection
Microsystem Technologies ( IF 2.1 ) Pub Date : 2020-09-01 , DOI: 10.1007/s00542-020-05014-1
Shuyu Wang , Xin Lv , Shifeng Yu , Jianning Hua

Basal heat production is an important feature of cell metabolic activity detection. The chip calorimeter can monitor cell metabolism by non-invasively detecting changes in cell temperature. In this paper, we developed a numerical model of an open type calorimeter based on a thin film thermopile for cell and microbial metabolism detection applications. We optimized the system through finite element analysis and design rules to determine the key performance of the calorimeter, such as sensitivity, time constant, power resolution, and signal-to-noise ratio (SNR) depending on the sample size (50 nL–1 μL). For example, ideally, when the sample volume is 200 nL, the specific volume thermal power detection limit of 1.264 mW/L is achieved. This is a prerequisite for a promising application of microorganisms or cells. In addition, due to the mutual constraints between various aspects of calorimeter performance, the simulation results of our calorimeter model can be used to guide the design and optimization of the calorimeter.



中文翻译:

用于细胞代谢检测的芯片量热仪的设计和优化

基础产热是细胞代谢活性检测的重要特征。芯片量热仪可以通过非侵入性检测细胞温度的变化来监测细胞的新陈代谢。在本文中,我们开发了一种基于薄膜热电堆的开放式热量计的数值模型,用于细胞和微生物代谢检测应用。我们通过有限元分析和设计规则对系统进行了优化,以确定热量表的关键性能,例如灵敏度,时间常数,功率分辨率和信噪比(SNR),具体取决于样本量(50 nL–1 μL)。例如,理想情况下,当样品体积为200 nL时,可实现1.264 mW / L的比体积热功率检测极限。这是有希望的微生物或细胞应用的前提。此外,

更新日期:2020-09-02
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