Design and Implementation of Portable Blood Glucose Detector Based on Smfeo3 Acetone Gas Sensor
Breath analysis using gas sensors is becoming one of the important supplementing ways for early diagnosis of diseases. Among them, the acetone gas sensor plays a crucial role in screening and diagnosis of diabetes by detecting acetone concentration in exhaled breath. Here, the response of SmFeO3 to 0.1-1 ppm acetone is 1.56, 1.87, 2.39, 3.22, 4.1, 4.79 and 5.92 at an optimal operating temperature of 210℃, respectively. The excellent repeatability, relative humidity adaptability, selectivity and long-term stability of the sensor make it reliable in the actual application. The machine learning (ML) algorithm is used to establish the mathematical model between the response of SmFeO3 and acetone concentration, carbon dioxide concentration and relative humidity in person’s exhaled breath. Experiments involving volunteers have proved the correctness of the mathematical model. Finally, a portable blood glucose detector based on SmFeO3 sensor is designed and realized to monitor the dynamic change of acetone concentration in volunteer’s exhaled breath before and after meals. All the experimental results calculated by the mathematical model are consistent with the actual situation of the human body. Experiments involving volunteers fully demonstrates the great potential of gas sensor for prediagnosis of diabetes
Year of publication: |
[2022]
|
---|---|
Authors: | Zhang, Heng ; Wang, Yan ; Zhang, Lian ; Zhao, Guohui ; Yang, Hongfang ; Wang, Huan ; Xiao, Jing |
Publisher: |
[S.l.] : SSRN |
Saved in:
freely available
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