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基于挥发性特征组分的卷烟烟丝质量趋势分析 被引量:10

Quality trend analysis on cigarette cut filler based on characteristic volatile components in cut filler
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摘要 为考察卷烟烟丝的质量变化趋势,采用顶空气相色谱质谱联用法(HS-GC/MS)检测不同品牌、不同批次卷烟烟丝中50种挥发性特征组分含量(质量分数),结合主成分分析-马氏距离(PCA-MD)统计方法对检测数据进行处理并进行质量趋势分析。结果表明:(1)C品牌5个批次卷烟烟丝样品可分成5类,且2015与2016年烟丝特征组分含量波动较大;2016年7—10月份的烟丝中50种挥发性特征组分含量基本一致,仅8月份出现细微波动。该变化趋势与烟丝配方调整的情况一致。(2)2015年C、D品牌烟丝样品中特征组分含量的差异较大,表明可以用PCA对不同品牌质量特征进行定性描述。(3)C、D品牌烟丝样品间的马氏距离较大,D品牌的马氏距离是C品牌的5~10倍,表明可以用马氏距离对卷烟烟丝质量波动状况进行定量表征。该研究结果可用于卷烟产品的均质化评价。 To investigate the variations in quality trend of cigarette cut fillers, HS-GC/MS was used to determine the contents of 50 volatile characteristic components in cut fillers of cigarettes of different batches and brands. By combining PCA-MD (Principal component analysis-Mahalanobis distance) statistical methods, the determined data were processed to analyze the variation trend of quality of cut filler. The results showed that: 1) The cut fillers of cigarettes of five batches of brand C could be classified into five groups, the contents of characteristic components differed greatly between the samples produced in 2015 and 2016. From July to October in 2016, the contents of 50 volatile characteristic components in the cut fillers were basically consistent except that there was slight fluctuation in August, which could be attributed to the tobacco blend adjustment. 2) For the samples produced in 2015, there were great differences in the contents of characteristic components in the cut fillers of brands C and D, which indicated that PCA could be used to qualitatively describe brands C that MD could be the quality characteristics of the different brands. 3) The MD of cut fillers differed greatly between and D, and the MD of cut filler of brand D was 5 to 10 times as that of brand C, which indicated could be used to quantitatively characterize the quality variation of the cut filler. The research results applied to the quality consistency evaluation of the final cigarettes.
出处 《烟草科技》 EI CAS CSCD 北大核心 2017年第11期39-47,共9页 Tobacco Science & Technology
基金 云南中烟工业有限责任公司2015年重点项目“适用于卷烟产品质量管控的分析检测平台搭建及应用”(2015JC07) 2017年重点项目“基于光谱大数据的卷烟主流烟气品质评价新技术研究”(2017JC04) 2013年科技项目“红塔集团质量监督检测实验室建设”(2013JC10)
关键词 卷烟烟丝 挥发性特征组分 主成分分析-马氏距离 质量趋势分析 均质化评价 Cut filler Volatile characteristic component Principal component analysis-Mahalanobis distance(PCA-MD) Quality trend analysis Quality consistency evaluation
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