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基于NSGA-Ⅱ遗传算法的烟用香精数字化调香研究及应用 被引量:9

Research and application of digital flavoring method based on NSGA-Ⅱ genetic algorithm
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摘要 为进一步提高烟用香精的创作效率,基于非支配排序遗传算法(NSGA-Ⅱ)最优解的多目标最优化遗传算法,以建立的344种单体香原料描述信息库和30组经验配方单为基础,建立了烟用香精数字化调香方法,并分别以花香和果香为调香目标,成功输出与调香目标较符合的数字化调香香精配方。结果表明:(1)得到的花香香精和果香香精在嗅香和卷烟加香风格上均较符合相应的目标要求;(2)花香香精的嗅香以花香(7.0分)和甜香(5.0分)为主体香韵,加香后卷烟烟气中花香、甜香和清香香韵有较大改善,分别由0.1、2.5和2.0分提高到2.5、3.3和3.0分;(3)果香香精的嗅香以果香(7.0分)、甜香(5.5分)为主体香韵,加香后能明显增强烟气中的果香、甜香和清香香韵,分别由0.5、2.5和2.0分提高到3.2、3.5和3.1分;(4)经过卷烟加香验证,两种数字化调香香精均能较好地与叶组配方相协调,对卷烟烟气品质特征有一定程度改善,较符合烟用香精要求;(5)该数字化调香方法可简化烟用香精调香过程,提高卷烟调香效率。 In order to promote the development efficiency of tobacco flavors, a multi-objective optimization genetic algorithm based on optimal solutions of non-dominated sorting genetic algorithm(NSGA-Ⅱ) was used to establish a digital tobacco flavoring method with the help of descriptive information database of 344 monomer fragrance materials and 30 empirical formulas of tobacco flavors. Taking floral and fruity scents as two flavoring targets, flavor formulas were successfully formed by the established digital flavoring method. The results showed that: 1) The obtained floral and fruity flavor were consistent with the corresponding target requirements both in olfactory aroma and cigarette flavoring. 2) The olfactory aroma of the floral flavor was mainly floral note(7.0 points) and sweet note(5.0 points). Adding floral flavor remarkably promoted the scores of floral, sweet and fresh scents of cigarette smoke from 0.1, 2.5 and 2.0 points to 2.5, 3.3 and 3.0 points,respectively. 3) The olfactory aroma of the fruity flavor was mainly fruity note(7.0 points) and sweet note(5.5 points). Adding fruity flavor significantly increased the scores of fruity, sweet and fresh scents of cigarette smoke from 0.5, 2.5 and 2.0 points to 3.2, 3.5 and 3.1 points, respectively. 4) Cigarette flavoring experiments verified that the two flavors created by the digital method were harmonious with the tobacco blends, improving the sensory quality of cigarette smoke and meeting the requirements for tobacco flavors. 5) This digital flavoring method simplified the flavoring process and thus promoted the efficiency of cigarette flavoring.
作者 孔波 蔡佳校 邹有 李燕春 卢红兵 杨华武 谭新良 钟科军 KONG Bo;CAI Jiaxiao;ZOU You;LI Yanchun;LU Hongbing;YANG Huawu;TAN Xinliang;ZHONG Kejun(Technology Center of China Tobacco Hunan Industrial Co.,Ltd.,Changsha 410007,China;Information and Network Center of Central South University,Changsha 410083,China)
出处 《烟草科技》 EI CAS CSCD 北大核心 2020年第2期72-79,共8页 Tobacco Science & Technology
基金 中国烟草总公司重点项目“基于叶组与调香要素的数字化卷烟产品设计技术研究与应用”(110201802003)。
关键词 烟用香精 NSGA-Ⅱ 多目标最优化算法 数字化调香 Tobacco flavor NSGA-Ⅱ Multi-objective optimization algorithm Digital flavoring
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