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不同尺寸再造烟叶在卷烟中的应用研究
引用本文:车靖,华一崑,何邦华,周红光.不同尺寸再造烟叶在卷烟中的应用研究[J].宁夏农林科技,2012,53(5):22-23.
作者姓名:车靖  华一崑  何邦华  周红光
作者单位:1. 云南瑞升烟草技术集团有限公司,云南昆明,650106
2. 红云红河烟草(集团)有限责任公司,云南昆明,650202
摘    要:目的]为再造烟叶的尺寸优化提供依据。方法]对比研究边长为45,25 mm的菱形再造烟叶在卷烟中的应用效果。结果]边长为45 mm菱形再造烟叶会产生结团缠绕现象,在烟支中的分布均匀性为58.66%,长丝率为63.76%,中丝率为20.48%,纯再造烟丝填充值为6.65 cm3/g,成品烟丝填充值为4.58 cm3/g;边长为25 mm菱形再造烟叶的结团缠绕现象显著改善,在烟支中的分布均匀性为75.62%,长丝率为61.96%,中丝率为21.35%,纯再造烟丝填充值为6.80 cm3/g,成品烟丝填充值为4.63 cm3/g;2种尺寸再造烟叶应用后,卷烟的常规化学指标、烟气指标、感官质量基本无差异。结论]再造烟叶边长由45 mm调整为25 mm后,在卷烟中的应用效果得到部分改善。

关 键 词:再造烟叶  尺寸  分布均匀性

Research on Different Sizes of Reconstituted Tobacco in the Application of Cigarette
Institution:CHE Jing et al(Yunnan Reascend Tobacco Technology(Group)Co.,Ltd.,Kunming,Yunnan 650106)
Abstract:Objective] To provide the basis for optimizing the size of reconstituted tobacco.Method]Comparative study on application effects of two sizes of reconstituted tobacco in the cigarette.Result] 45 mm side of the diamond of reconstituted tobacco would produce agglomeration and entwining phenomenon,the uniformity distribution in cigarette was 58.66%,the long length ratio was 63.76%,the medium length ratio was 20.48%,determination of filling power of pure reconstituted tobacco was 6.65 cm3/g,determination of filling power of tobacco finished was 4.58 cm3/g;25 mm side of the diamond reconstituted tobacco what improved significantly the agglomeration and entwining phenomenon,the uniformity distribution in cigarette was 75.62%,the long length ratio was 61.96%,the medium length ratio was 21.35%,determination of filling power of pure reconstituted tobacco was 6.80 cm3/g,determination of filling power of tobacco finished was 4.63 cm3/g.After application of two sizes of reconstituted tobacco,routine chemical indicators of cigarette,cigarette mainstream smoke index and sense evaluation almost were no differences.Conclusion]After the side length of reconstituted tobacco adjusted from 45 mm to 25 mm,effects of cigarette in the application had been improved.
Keywords:Reconstituted tobacco  Size  Uniform distribution
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