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[Objective] Based on FTIR microspectroscopy of the smoke aerosols of the same brand from different series of cigarettes, quick differentiation model was established. [Method] FTIR microspectroscopy was used to determine the smoke aerosols of different series of cigarettes from the same brand. A model was established by using principal component analysis (PCA). The nicotine content, moisture content, tar content, and carbon monoxide amount in the smoke were compared with the traditional methods. [Result] FTIR spectroscopy analysis results revealed that H7, H11, H12, B1, B13, and B14 were far away from other samples, which were consistent with the determined results by traditional methods. [Conclusion] FTIR microspectroscopy can quickly distinguish the smoke aerosols from different series of cigarettes of the same brand, which provided a new method for the quality identification of cigarettes. [ABSTRACT FROM AUTHOR]

The latest research progress on separation technology (density separation, elutriation and oil extraction), digestion technology (acid digestion, alkali digestion, oxidation digestion, enzyme digestion and UTS method) and detection technology(visual inspection, spectroscopic analysis and thermal analysis) of microplastics are systematically introduced, and the advantages and disadvantages are compared and analyzed ・ However, the selection of different separation, digestion and detection technologies will lead to differences in the abundance, chemical information and morphology of microplastics・ It is difficult to compare different research results, which affects the research on the environmental behavior, pollution status and temporal and spatial distribution of microplastics・ Therefore, it is proposed that a unified and standardized microplastics pre treatment and detection technology should be established in the future ・ And more attention should be paid to the combined application of image analysis and traditional detection methods・ Meanwhile, machine learning will provide a faster and more accurate detection and classification technology for the research of microplastics. [ABSTRACT FROM AUTHOR]

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