摘要
Ketamine severely endangers health and dwelling quality. In Taiwan, one of the common methods of taking ketamine is by smoking ketamine cigarettes. By heating up ketamine cigarettes, it produces an odor that smells similar to burning plastic. There are no effective and convenient methods for immediately detecting and identifying the smell of ketamine cigarettes. Therefore, this research proposed to develop an electronic nose system to identify the gas of ketamine cigarettes. In this study, standard operating procedures were established for collecting ketamine gas and ketamine cigarette gas at constant flow to quantitatively collect those gas samples least affected by environmental factors. After injecting the gas samples, the variation signal of sensor array was noted. By feature extraction and dimensionality reduction algorithms, the complexity of data decreased. The classification results were also analyzed through linear regression and classification algorithms, and the classification accuracy was up to 95.92%.