Abstract
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.
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