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| 基于电子舌技术的卷烟主流烟气味觉识别 | |
| 引用本文： | 顾永波,肖作兵,刘强,李智字,冒德寿,冯涛,田怀香,许建营,侯春,李海涛. 基于电子舌技术的卷烟主流烟气味觉识别[J]. 烟草科技, 2011, 0(8): 48-51 |
| 作者姓名： | 顾永波 肖作兵 刘强 李智字 冒德寿 冯涛 田怀香 许建营 侯春 李海涛 |
| 作者单位： | 1. 上海应用技术学院上海香料研究所,上海市徐汇区龙吴路137号,200232 2. 上海应用技术学院香料香精技术与工程学院,上海市徐汇区漕宝路120号,200235 3. 红塔烟草(集团)有限公司香精香料技术中心,云南省玉溪市红塔大道118号,653100 |
| 基金项目： | 国家烟草专卖局基金项目“卷烟烟气味觉特征及其调控技术研究”(110200901001) |
| 摘 要： | 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... |
| 关 键 词： | 电子舌 主成分分析 判别因子分析 主流烟气 模式识别 |
Taste Pattern Recognition of Mainstream Cigarette Smoke Based on Electronic Tongue |
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| GU YONG-BO,XIAO ZUO-BING,LIU QIANG,LI ZHI-YU,MAO DE-SHOU,FENG TAO,TIAN HUAI-XIANG,XU JIAN-YING,HOU CHUN,LI HAI-TAO. Taste Pattern Recognition of Mainstream Cigarette Smoke Based on Electronic Tongue[J]. Tobacco Science & Technology, 2011, 0(8): 48-51 | |
| Authors: | GU YONG-BO XIAO ZUO-BING LIU QIANG LI ZHI-YU MAO DE-SHOU FENG TAO TIAN HUAI-XIANG XU JIAN-YING HOU CHUN LI HAI-TAO |
| Affiliation: | GU YONG-BO(1),XIAO ZUO-BING(2),LIU QIANG(3),LI ZHI-YU(3),MAO DE-SHOU(3),FENG TAO(2),TIAN HUAI-XIANG(2),XU JIAN-YING(2),HOU CHUN(3),and LI HAI-TAO(3) 1.Shanghai Research Institute of Fragrance & Flavor Industry,Shanghai Institute of Technology,Shanghai 200232,China 2.School of Fragrance & Flavor Technology and Engineering,Shanghai 200235,China 3.Technology Center of Fragrance & Flavor,Hongta Tobacco(Group)Co.,Ltd.,Yuxi 653100,Yunnan,China |
| Abstract: | 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... |
| Keywords: | Electronic tongue PCA DFA Mainstream cigarette smoke Pattern recognition |
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