Modeling of cigarette smoke constituents - From intense to less intense smoking regime

Abstract

Since it was first required to measure and to report NFDPM and nicotine yields in a limited number of countries, there has been an increasing trend for more testing and reporting requirements. Historically, the ISO 3308 smoking regime has been used to determine NFDPM and nicotine yields. However recommendations from the World Health Organization, now include the use of two smoking regimes such as the ISO 3308 and the WHO TobLabNet Official Method SOP01, the latter being considered as an intense smoking regime. Considering the increase in data produced and similarities between some smoke constituents formed during combustion, we explored possible correlations between emissions under intense and less intense smoking conditions. A set of 22 commercial cigarettes was tested. Eighty five smoke constituents were determined under both intense and less intense regimes. In addition 36 tobacco constituents, 14 cigarette design parameters and eight cigarette burning features were determined. A computational process was designed to implement multiple linear regression analyses enabling the identification of the best subsets of explanatory variables among emissions under intense conditions, cigarette design parameters, tobacco constituents and burning parameters. We succeeded in building simple linear models, involving four to six variables, while reaching satisfactory goodness of fit and R-squared values ranging from 0.87 to 1.00. Our findings suggest, in the range of products tested, that the additional data gained by using a second smoking regime does not necessarily increase the volume of information and consequently does not necessarily improve knowledge. This study supports the premise that the application of two smoking regimes does not produce a more comprehensive product characterisation compared to using one.

Keywords: Computational process; Mainstream cigarette smoke; Multiple linear regressions; Smoking regimes.