Electronic nose combined with chemometrics for characterizing VOCs'residues in cigarette packing paper

For a simple, fast, environment-friendly and cost-effective means to differentiate the quality of cigarette packing paper, a method was developed by analyzing the contents of volatile organic compounds (VOCs) emitted from cigarette packing paper using an electronic nose system. In addition, three discriminant models for benzene contents and the total contents of 15 VOCs were developed with discriminant factor analysis (DFA), principal component analysis (PCA) and soft independent modeling of class analogy (SIMCA) algorithms, separately. The modeling outputs from the three methods were compared, and the results showed that both the model for benzene contents based on DFA and that for the total contents of 15 VOCs based on DFA or SIMCA could be applied for the fast differentiation of quality of cigarette packing paper.