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机构地区:[1]上海烟草集团技术中心北京工作站,北京市通州区万盛南街99号101121
出 处:《中国烟草学报》2014年第3期1-8,共8页Acta Tabacaria Sinica
摘 要:建立了主流烟气粒相物的电子鼻分析方法,对抽吸方式、粒相物放置时间、延迟时间、进样体积、顶空加热温度和顶空加热时间进行了优化。在此基础上,建立了不同风格卷烟的判别模型及同一规格卷烟的质量控制模型,并对模型的可靠性进行了验证。结果表明:按口数进行抽吸重复性更好,粒相物的放置时间控制在12 h以内,延迟时间1800 s,进样体积100μL,顶空加热温度和时间分别为90℃和20 min,分析效果最好。所建立的卷烟风格判别模型判别精度达到了95%,质量控制模型可对卷烟质量进行月度跟踪检验,并在卷烟日常维护方面也有很高的实用价值。A method of analyzing particulate matters in mainstream cigarette smoke by electronic nose was developed. Conditions were optimized. Classifying models of different style cigarettes and statistical quality control models for same brand cigarette were established. Their reliabilities were validated. Results showed that better repeatability can be obtained when cigarettes were smoked according to specific puff number. The optimum conditions were as follows: storage time controlled within 12 hours, delay time of 1800s, injection volume of 100μL, headspace heating at 90℃ by 20 min. The accuracy of established classifying models can be as high as 95%. These quality control models can be used in monthly quality monitoring and even routing maintenance.
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