电子鼻尿液气味检测在智能马桶中的应用

P. Choden, T. Seesaard, U. Dorji, Chutintorn Sriphrapradang, T. Kerdcharoen
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引用次数: 10

摘要

从人体释放的挥发性有机化合物模式的变化与人的健康之间的联系已被证明在筛查和诊断疾病方面是有效的。随着智能设备融入我们的生活环境,一个可以监测尿液气味变化,通过分析尿液来指示健康状况的智能马桶将是非常重要的。因此,我们在这项工作中开发了一个基于八个金属氧化物气体传感器的电子鼻,作为一个可以分析尿液气味的系统。为了评估气体传感器的性能,我们对健康、糖尿病和饮酒志愿者的三组尿液进行了测试。具有代表性的是,传感器TGS2603表现出最高的传感响应,MQ8表现出最低的传感响应。总的来说,所有的气体传感器都对尿液气味的变化表现出极好的敏感性。利用主成分分析(PCA)评价电子鼻的识别能力,可以根据其头部空间中存在的挥发性有机物对尿液气味进行分类和识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Urine odor detection by electronic nose for smart toilet application
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.
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