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部分市售低成本二氧化碳和甲烷气体传感器的检测精度与检测限

Precision and Limits of Detection for Selected Commercially Available, Low-Cost Carbon Dioxide and Methane Gas Sensors.

作者信息

Honeycutt Wesley T, Ley M Tyler, Materer Nicholas F

机构信息

Department of Chemistry, Oklahoma State University, 107 Physical Sciences, Stillwater, OK 74078, USA.

Department of Civil Engineering, Oklahoma State University, 319C Engineering South, Stillwater, OK 74078, USA.

出版信息

Sensors (Basel). 2019 Jul 18;19(14):3157. doi: 10.3390/s19143157.

DOI:10.3390/s19143157
PMID:31323772
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6679274/
Abstract

The performance of a sensor platform for environmental or industrial monitoring is sensitive to the cost and performance of the individual sensor elements. Thus, the detection limits, accuracy, and precision of commercially available, low-cost carbon dioxide and methane gas concentration sensors were evaluated by precise measurements at known gas concentrations. Sensors were selected based on market availability, cost, power consumption, detection range, and accuracy. A specially constructed gas mixing chamber, coupled to a precision bench-top analyzer, was used to characterize each sensor during a controlled exposure to known gas concentrations. For environmental monitoring, the selected carbon dioxide sensors were characterized around 400 ppm. For methane, the sensor response was first monitored at 0 ppm, close to the typical environmental background. The selected sensors were then evaluated at gas concentrations of several thousand ppm. The determined detection limits accuracy, and precision provides a set of matrices that can be used to evaluate and select sensors for integration into a sensor platform for specific applications.

摘要

用于环境或工业监测的传感器平台的性能对单个传感器元件的成本和性能很敏感。因此,通过在已知气体浓度下进行精确测量,评估了市售低成本二氧化碳和甲烷气体浓度传感器的检测限、准确性和精密度。根据市场可得性、成本、功耗、检测范围和准确性来选择传感器。一个特别构建的气体混合室与一台精密台式分析仪相连,用于在受控暴露于已知气体浓度的过程中对每个传感器进行表征。对于环境监测,所选二氧化碳传感器在400 ppm左右进行表征。对于甲烷,首先在0 ppm(接近典型环境背景)下监测传感器响应。然后在几千ppm的气体浓度下对所选传感器进行评估。所确定的检测限、准确性和精密度提供了一组指标,可用于评估和选择传感器,以集成到用于特定应用的传感器平台中。

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