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Urine odor detection by electronic nose for smart toilet application

机译:电子鼻检测尿臭味,适用于智能马桶

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The association of change in the pattern of volatile organic compounds released from the human body with a person's health has proved effective in screening and diagnosing diseases. And with smart devices getting integrated into our living environment, a smart toilet that could monitor the change in urine odor to indicate the health status through analysis of urine would be of great importance. For this reason, we have developed an electronic nose based on eight metal oxide gas sensors in this work to functional as a system that can analyze urine odor. To evaluate the performance of gas sensors, we have performed tests from three groups of urine obtained from healthy, diabetic and alcohol-drinking volunteers. Representatively, the highest sensing response was found to be demonstrated by the sensor TGS2603 and the lowest by MQ8. Overall, all the gas sensors have shown excellent sensitivity to the changes in the urine odor. The discrimination ability of the e-nose evaluated by principal component analysis (PCA) could successfully group and discriminate urine odors based on the volatile organic compounds presented in its head-space.
机译:从人体释放的挥发性有机化合物的形态变化与人体健康之间的关联已被证明对疾病的筛查和诊断有效。随着智能设备集成到我们的生活环境中,可以监测尿液气味变化以通过分析尿液指示健康状况的智能马桶将变得非常重要。因此,我们在这项工作中开发了一种基于八个金属氧化物气体传感器的电子鼻,可作为可分析尿臭味的系统发挥作用。为了评估气体传感器的性能,我们对从健康,糖尿病和饮酒志愿者获得的三组尿液进行了测试。具有代表性的是,传感器TGS2603证明了最高的感测响应,而MQ8则证明了最低的感测响应。总的来说,所有的气体传感器都表现出对尿臭味变化的出色灵敏度。通过主成分分析(PCA)评估的电子鼻辨别能力可以根据其顶部空间中存在的挥发性有机化合物成功地对尿臭进行分组和辨别。

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