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Quantification of a single-component gas in air with a microhotplate gas sensor using partial least squares techniques

机译:使用偏最小二乘技术的微热板气体传感器对空气中的单组分气体进行定量

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Abstract: Microhotplate gas sensors can be operated in rapid temperature programmed sensing (TPS) modes due to their small size and mass. The temperature sequences can be optimized in order to enhance a sensor's sensitivity and to discriminate among similar volatile organic compounds. In the paper, we demonstrate that quantification of a single component gas in air with a microhotplate gas sensor operated in a TPS mode is possible by using partial least squares techniques. The calculations of the PLS models are based on gas sensitivity which is the ratio between the dynamic responses to the test gas and to air. We show that the gas concentration can be predicted accurately for different test gases, different temperature sequences, and different metal-dosed microhotplate gas sensors. THus the qualitative and the quantitative analysis of a single component gas in air can be achieved with a single microhotplate gas sensor operated in TPS mode. !11
机译:摘要:由于其体积小,质量轻,可以在快速温度编程传感(TPS)模式下运行微热板气体传感器。可以优化温度顺序,以增强传感器的灵敏度并区分相似的挥发性有机化合物。在本文中,我们证明了使用偏最小二乘技术可以通过以TPS模式运行的微孔板气体传感器对空气中的单一成分进行定量。 PLS模型的计算基于气体敏感性,即对测试气体和空气的动态响应之间的比率。我们表明,可以针对不同的测试气体,不同的温度顺序以及不同的金属剂量微孔板气体传感器准确预测气体浓度。因此,可以通过在TPS模式下运行的单个微孔板气体传感器来实现空气中单一成分气体的定性和定量分析。 !11

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