On-line real-time analysis method for tobacco smoke

Abstract

The invention discloses an on-line real-time analysis method for tobacco smoke. The method adopts an on-line real-time analyzer for tobacco smoke, and the analyzer comprises a smoking machine, a feeding and cleaning module, a smoke analysis module, a smoke holding device, a deactivated pipeline system and an external controller. A gas chromatograph or gas-mass spectrometer is used for realizing detection of sample components; the temperature-controllable smoke holding device is used for realizing selective gas filtration or total smoke analysis without filter disc through various special adsorption materials and temperature setting; the external controller is used for realizing synchronous control of the smoking machine, an on-line pollution cleaning sampler and the gas chromatograph; thus, the real-time collection and analysis of tobacco smoke is completed. The method has the characteristics of controllable suction, controllable smoke volume, controllable temperature, real-time cleaning of smoke pollution and no residues, realizes real-time on-line analysis, directly analyzes the gas components generated by tobacco burning, and avoids chemical change or loss of components in the sample processing process.

Description

technical field [0001] The invention belongs to the field of smoke analysis of tobacco products, in particular to an online real-time analysis method for smoke of tobacco products. Background technique [0002] At present, there are many methods for analysis and detection of smoke from tobacco products. When using a smoking machine to simulate human smoking behavior, a variety of traps, including Cambridge filters, electrostatic precipitators, jet impactors, cold solvents (cold traps) , solid adsorbents, and solvent traps have been used to collect mainstream smoke, and direct sampling can also complete the direct sampling analysis of gas phase components. However, there is such a problem in the smoke composition data of tobacco products detected by these methods: the objects detected by traditional smoke analysis methods are far from the smoke smoked by the actual smoking sensory evaluation, for example: smoke aged for 1 minute There are big differences with fresh flue gas:...

AI Technical Summary

Problems solved by technology

However, there is such a problem in the smoke composition data of tobacco products detected by these methods: the objects detected by traditional smoke analysis methods are far from the smoke smoked by the actual smoking sensory evaluation, for example: smoke aged for 1 minute There are big differences with fresh flue gas: (1) The particle size of the flue gas aerosol increases rapidly, and the initial diameter of the particles is distributed between 0.01 and 1.0 μm. With the extension of time and the decrease of temperature, the particle diameter continues to increase After the flue gas is kept at room temperature for 10 seconds, the particle diameter increases to 0.1-46 μm, with an average diameter of 0.2 μm; (2) The dynamic properties of the flue gas lead to the instability of the flue gas, because the concentration of the flue gas is very High, the particles in it will condense rapidly in a short time, and the number of particles in the nascent smoke will drop to a quarter of its initial value within half a second

[0003] Theoretically speaking, a comprehensive analysis of cigarette mainstream smoke components can be achieved through modern instrumental analysis methods. In practice, Cambridge filters and solvent traps are the main capture measures for smoke, but due to the smoke components Due to the complexity of flue gas components collection, separation and extraction, and enrichment, as well as the composition changes caused by the aging of flue gas, etc., it is collected by Cambridge filter or solvent absorption, and then a series of chemical extraction and extraction are carried out. Separation analysis, this conventional offline method, has complicated experimental steps, time-consuming and laborious, poor reproducibility and stability, and inevitably brings in sample loss and human error; in addition, capture, processing speed is slow, and the process is cumbersome, resulting in The aging of samples cannot reflect the composition of fresh flue gas products; the known methods of analyzing flue gas, due to the complexity of adsorption and analysis, cause differences in the composition of fresh flue gas and processed samples, so that the existing chemical analysis results cannot Fully express the results of smoke sensory evaluation, that is, it is difficult to provide sufficient and reliable information

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