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Determination of benzo[a]pyrene in cigarette mainstream smoke by using mid-infrared spectroscopy associated with a novel chemometric algorithm

Authors :
Ru-Qin Yu
Jian-Hui Jiang
Yan Zhang
Hai-Long Wu
Pei Shi
Qin Yang
Li-Juan Tang
Hong Yan Zou
Source :
Analytica Chimica Acta. 902:43-49
Publication Year :
2016
Publisher :
Elsevier BV, 2016.

Abstract

Determination of benzo[a]pyrene (BaP) in cigarette smoke can be very important for the tobacco quality control and the assessment of its harm to human health. In this study, mid-infrared spectroscopy (MIR) coupled to chemometric algorithm (DPSO-WPT-PLS), which was based on the wavelet packet transform (WPT), discrete particle swarm optimization algorithm (DPSO) and partial least squares regression (PLS), was used to quantify harmful ingredient benzo[a]pyrene in the cigarette mainstream smoke with promising result. Furthermore, the proposed method provided better performance compared to several other chemometric models, i.e., PLS, radial basis function-based PLS (RBF-PLS), PLS with stepwise regression variable selection (Stepwise-PLS) as well as WPT-PLS with informative wavelet coefficients selected by correlation coefficient test (rtest-WPT-PLS). It can be expected that the proposed strategy could become a new effective, rapid quantitative analysis technique in analyzing the harmful ingredient BaP in cigarette mainstream smoke.

Details

ISSN :
00032670
Volume :
902
Database :
OpenAIRE
Journal :
Analytica Chimica Acta
Accession number :
edsair.doi.dedup.....4e8202037729173297f7e33201cb9687