Study on the Preparation of Water-storage Capsules and its Effect on the Quality of Cigarettes

Author:

Wang Hao,Zheng Han,Zhan Jianbo,Zhang Ying,Li Geng,Wang Xu,Cheng Liang,Kong Linghan,Yu Zhenhua,Xie Jiao,Li Liwei,Yu Tingting,Yu Yao,Yu Jiang,Ding Haiyan,Yue Baoshan

Abstract

Abstract The contents of existing cigarette capsules are basically the storage of ester soluble flavors and fragrances. In this paper, several new kinds of water-storage cigarette capsules were prepared. The influence of the new water-storage cigarette capsules before and after break on the quality of cigarette smoke has been comparably studied with usual samples without capsules. The experimental results show that the moisture content of the smoke increases significantly after water-storage cigarette capsules are pinched, the closer the placement position is to the suction end, the longer the moisture continues. Once the position of capsules in the filter rods is settled, moisture content of the smoke is related to capsule size and moisture keeping. The larger the size of the cigarette capsules is, the higher the moisture content of the smoke is. In the case of total particle content, samples with capsules after pinching is higher than that before pinching, and the content of tar of samples with capsules after pinching is lower than that before pinching, and there was no significant difference in the indexes of CO and suction times. Water-storage capsules are an effective way to reduce harmful smoke and tar, and that to improve the sensory quality of smoking. Water-storage capsules will have broad development and application prospects in the future.

Publisher

IOP Publishing

Subject

General Engineering

Reference10 articles.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Investigation on the forming quality and hardness of hollow filter rods using water vapor forming method;Journal of Mechanical Science and Technology;2023-06

2. Rapid Defect Detection in Cigarette Capsules Based on 1D Residual Network with Multi-Feature Fusion;2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys);2022-12

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