Acetone Sensor Based on FAIMS-MEMS.

Junna Zhang,Ruifang Liu,Zhujie Zhao,Abdul Ghaffar,Lei Qi,Ting Liang,Jijun Xiong,Cheng Lei

doi:10.3390/mi12121531

Abstract

In this paper, to address the problems of large blood draws, long testing times, and the inability to achieve dynamic detection of invasive testing for diabetes, stemming from the principle that type 1 diabetic patients exhale significantly higher levels of acetone than normal people, a FAIMS-MEMS gas sensor was designed to detect acetone, which utilizes the characteristics of high sensitivity, fast response, and non-invasive operation. It is prepared by MEMS processes, such as photolithography, etching, and sputtering, its specific dimensions are 4000 μm in length, 3000 μm in width and 800 μm in height and the related test system was built to detect acetone gas. The test results show that when acetone below 0.8 ppm is introduced, the voltage value detected by the sensor basically does not change, while when acetone gas exceeds 1.8 ppm, the voltage value detected by the sensor increases significantly. The detection accuracy of the sensor prepared by this method is about 0.02 ppm/mV, and the voltage change can reach 1 V with a response time of 3 s and a recovery time of 4 s when tested under 20 ppm acetone environment; this has good repeatability and stability, and has great prospects in the field of non-invasive detection of type 1 diabetes.

Highlights

Diabetes mellitus (DM) is a metabolic syndrome of fasting and postprandial hyperglycemia caused by inadequate insulin secretion
The gases tested in this experiment are all standard gases provided by Taiyuan Tainan Gas Co., (Shanxi, China) the gases are all single substances of volatile organic compounds, and the flow of these gases is kept constant by the cylinder pressure reducer; the ionization area uses a photo-ionization detector (PID), and the ionization lamp uses a mercury lamp with the energy of 10.6 eV
The sensitive structure of this sensor is processed by the microelectromechanical systems (MEMS) process, and the sensor structure is simple, small, and easy to process

Summary

Introduction

Diabetes mellitus (DM) is a metabolic syndrome of fasting and postprandial hyperglycemia caused by inadequate insulin secretion. It is a syndrome that may be due to inadequate insulin secretion or defective insulin action, leading mainly to disorders of sugar, protein, and lipid metabolism. It is the third major non-communicable disease threatening human health, after cerebrovascular diseases and tumors—from the International Diabetes Federation (IDF). The key data on diabetes in China are: in 2019, China had about 116.4 million people with diabetes (20–79 years old), China has the highest number of people with diabetes in the world, accounting for 25% of the world’s diabetic population. A total of 1 in 9 adults (20–79 years old) have diabetes.

Methods

Results

Conclusion