后鼻腔烟气成分检测方法建立及差异性评价

Establishment and differential evaluation of a method for detecting the composition of retronasal smoke

  • 摘要: 借鉴食品后鼻腔香气研究相关理论,基于烟草行业卷烟产品感官评吸方法和人体感知卷烟烟气中香气物质的实际暴露途径,开展后鼻腔烟气成分测定及不同品牌卷烟烟气差异性评价. 在后鼻腔烟气捕集装置搭建的基础上,通过对吸烟方式、吸附管类型、抽吸口数等捕集方法关键参数的优化,确定了最佳技术参数:脱附温度为290 ℃,脱附时间为6 min,冷阱最高温度为270 ℃,建立了“后鼻腔烟气中挥发性成分测定热脱附−气相色谱−质谱联用(TD-GC/MS)法”. 采用该方法,开展了4个市售卷烟产品的后鼻腔烟气中挥发性成分测定,将后鼻腔烟气中挥发性成分检测数据导入统计分析软件(SIMCA),对其进行主成分分析(PCA)和偏最小二乘法–判别分析(PLS-DA). 基于后鼻腔烟气中挥发性成分检测结果能够实现对−个品牌卷烟产品的明显区分,实现了差异性评价的目的. 同时,采用Fisher步进式线性判别分析方法,对筛选出的卷烟后鼻腔烟气特征指标(10个化合物)检测数据进行了验证性研究,原始验证和交叉验证结果表明,基于烟气特征指标−个不同品牌的卷烟均被正确分类.

     

    Abstract: This article draws on the relevant theories of post food nasal aroma research, and based on the sensory evaluation methods of cigarette products in the tobacco industry and the actual exposure pathways of aroma substances in cigarette smoke perceived by the human body, conducts post nasal smoke component determination and differential evaluation of cigarette smoke from different brands. On the basis of building a smoke capture device for the posterior nasal cavity, the optimal technical parameters were determined by optimizing key parameters such as smoking method, adsorption tube type, and number of suction ports: desorption temperature of 290 ℃, desorption time of 6 minutes, and maximum temperature of the cold trap of 270 ℃. A "Thermal desorption gas chromatography-mass spectrometry (TD-GC/MS) method for determining volatile components in posterior nasal cavity smoke" was established. Using this method, volatile components in the nasal smoke of four commercially available cigarette products were determined, import the volatile component detection data in the nasal smoke into the statistical analysis software (SIMCA), and perform principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) on it. Based on the detection results of volatile components in the smoke from the posterior nasal cavity, it is possible to clearly distinguish four brands of cigarette products and achieve the purpose of differential evaluation. At the same time, the Fisher stepwise linear discriminant analysis method was used to validate the detection data of nasal smoke characteristic indicators (10 compounds) selected from cigarettes. The original validation and cross validation results showed that cigarettes from four different brands based on smoke characteristic indicators were correctly classified.

     

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