基于电子舌技术的卷烟主流烟气味觉识别

Taste Pattern Recognition of Mainstream Cigarette Smoke Based on Electronic Tongue

为考察电子舌对不同卷烟烟气味觉的识别效果,利用电子舌系统检测了6个烤烟型和3个混合型卷烟样品主流烟气水处理液的味觉特征,并对其传感器响应信号进行了主成分分析(PCA)和判别因子分析(DFA)。结果表明:①前2维主成分对卷烟品种的味觉识别贡献率达84.82%;②前2维DFA对卷烟品种的味觉识别贡献率达95.42%。结论:在模式识别中,DFA法的区分效果优于PCA法;电子舌能区分不同香型卷烟味觉特征,有望成为一种辅助的卷烟感官质量评价方法。

In order to investigate the effectiveness of electronic tongue in recognition of smoke taste of different cigarettes, the taste characteristics of the aqueous solutions of mainstream smoke of 6 flue-cured and 3 blended cigarette samples were detected by an electronic tongue, and the principal component analysis （PCA） and discriminate function analysis （DFA） were used for analyzing the response signals from the electronic tongue. The results showed that the contribution rates of first two-dimensional PCA and first two-dimensional DFA to the taste recognition of cigarette reached 84.82% and 95.42%, respectively. It was concluded that DFA advantaged over PCA in the taste pattern recognition. Electronic tongue could distinguish the taste characteristics of different type cigarettes and had the potential to play a role in the sensory quality evaluation of cigarettes.