Temperature Modulation of a Tin Oxide-Based Gas Sensor for Detecting Vinegar Purity using the K-Nearest Neighbors Algorithm
Subject Areas : Electronic EngineeringVahid Khorramshahi 1 , Fatemeh Safari 2 , Ali Fatehifar 3
1 - Materials and Energy Research Center, Dezful Branch, Islamic Azad University, Dezful, Iran
2 - Materials and Energy Research Center, Dezful Branch, Islamic Azad University, Dezful, Iran
3 - 1Materials and Energy Research Center, Dezful Branch, Islamic Azad University, Dezful, Iran
Keywords: Tin oxide, temperature modulation, electronic nose, gas sensor, classification.,
Abstract :
Temperature modulation in gas sensors based on metal oxides, such as SnO₂, alters the operating temperature of the sensor. These changes enhance the sensor's sensitivity and selectivity in detecting acetic acid in vinegar, enabling the determination of vinegar purity. In temperature modulation for gas sensors, temperature cycles are employed to record the sensor's response to different compounds. These responses are then processed as classification features to differentiate and identify various compounds. In this study, the nearest neighbor (k-NN) algorithm was used to classify vinegar samples and assess their purity based on these features. A square voltage waveform was applied to the microheater of the MQ2 gas sensor, inducing temperature variations that generated distinct patterns in the sensor's response. The sensor's voltage response to vinegar vapors with varying purities was recorded in three stages. From each pattern, seven unique features were extracted to serve as inputs for the classification algorithm. The proposed algorithm demonstrated an accuracy of 86% in determining vinegar purity, making it suitable for use in automated detection systems.
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