芯片级非对称场离子迁移谱技术快速识别不同霉变烟草

Rapid identification of different tobacco mildew through microchip-based field asymmetric ion mobility spectrometry

建立了顶空进样法—芯片级非对称场离子迁移谱(Microchip-based FAIMS)技术快速识别霉变烟草。在常压条件下,以经过活性炭和分子筛净化的空气为载气,同时在正负离子模式下进行检测。在优化的条件下(载气流量2000 m L/min,顶空温度为25℃,样品气流为100 m L/min),对不同霉变程度烟草进行定性分析,建立识别规则,依据规则识别烟草霉变程度,识别率达90%以上,实现对203种烟草的快速检测。对得到不同烟草的特征峰,利用解析-气相色谱-质谱仪器(TD-GC-MS)定性分析不同霉变状态烟草的特征霉变物质,验证FAIMS测试结果。烟草特征峰在指定的CV值和DF值下,离子电流值值存在显著性差异,利于识别。方法重复性的相对标准偏差RSD≤5%。因此,FAIMS检测技术可用于快速识别霉变烟草的方法开发。

Microchip-based high-field asymmetric ion mobility spectrometry （FAIMS） technology was used for rapid identification of tobacco mildew. Sample gas was introduced by a dynamic headspace diffusion method. Using FA1MS technology, the sample was tested in positive and negative ion mode under atmospheric conditions with clean air （carrier gas： filtered by activated carbon and molecular sieve）. To optimize detection conditions, carrier gas flow rate and sample flow rate were controlled at 2000mL/min and 100 mL/min, respectively. Headspace temperature was controlled at 2YC .Under optimal conditions, recognition rules of the degree of mildewy tobacco were established according to identification points. Identification points included three variables of the compensation voltage （CV）, electric field （DF） strength and ionic current value （ICV）. Characteristic substances of different mildewy tobacco were analyzed by TD-GC-MS. There was a significant difference among Ion current value of characteristic peaks for different mildewy tobacco. The recognition rate of this method was more than 90 percent with relative standard deviation （RSD） lower than 5%. Therefore, FAIMS detection technology has a great potential for application in rapid identification of tobacco mildew.