电子鼻检测烤后烟叶挥发性组分的方法研究

本研究采用电子鼻系统对不同形态烤后烟样进行测定，以便初步建立一个烤后烟叶挥发性组分判别检测的方法。结果表明，不同样品形态、同一样品不同放置时间均对电子鼻检测效果有一定影响。对于烟丝样品，放置4h检测为宜；对于烟末样品，放置30 min检测为宜；采用烟丝样品检测效果优于烟末样品。结果分析表明，线性判别分析（LDA）比主成分分析（PCA）更能有效的区分不同样品，幵且LDA分析的结果更能代表样品的整体特征。传感器Loadings分析表明，烟丝样品检测时贡献率较大的传感器是2、7、8、9；烟末样品检测时贡献率较大的传感器是2、7、9。利用电子鼻技术在合适的条件下，可以对不同品种不同部位的烟样进行区分和鉴别。

Study on the Method of Using Electronic Nose to Detect the Volatile Components in Cured Leaves

This study attempted touseelectronic nose systemto measure curedtobaccoleafsamplesof variousforms,so thata methodfordeterminingvolatile component in tobaccoleaves could be established. The results showed that the detection resultswere influenced by tobacco formsand storage periods. Storage time of 4 hourswas the best fordetecting cut tobaccoleaves, and30 minuteswas optimum fortobacco powder.The detection results forcut tobaccowasbetter than those oftobacco powder. Linear discrimination analysis （LDA） discriminate different tobacco materials more effectively than principal component analysis（PCA）. The result of LDA could represent overall characteristics of sample. Tested by the Loadings analysis, sensor 2,7,8,9 had higher contribution rates during test cut tobacco sample, while, sensor 2,7,9 had higher contribution rates during test tobacco powder. Electronic nose detection could be used to discriminatethevarieties or regionsproduced offlue-cured tobaccoleaves.