Rapid and Accurate Detection of Nicotine by Electronic Nose
A miniature electronic nose system based on a sensor array was developed to monitor nicotine in ambient air.In the paper,a lower computer hardware terminal based on the sampling circuit of the sensor array as well as the supporting upper computer software were designed for data acquisition,followed by a study focusing on the recognition characteristics of the elec-tronic nose recognition algorithm for nine gas molecules including nicotine,using different classification algorithms to recognize the response of the sensor array under different gas exposure times.The results show that the pattern recognition algorithm based on time sliding window and long and short-term memory neural network can achieve more accurate(85.35%accuracy)nicotine recognition detection under short gas exposure time(4 s),indicating that the miniature electronic nose can be used for monitoring and early warning of nicotine.
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