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Qualitative determination of volatile substances in different flavored cigarette paper by using headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) combined with chemometrics

Chao Li, Senlin Tian, Junheng You, Jinyun Liu, E’xian Li, Chunqiong Wang, WANG Qinghua, Zijian ZHU, Duoqing Fan, Runtao TIAN

2022Heliyon15 citationsDOIOpen Access PDF

Abstract

In order to investigate the difference of volatile substances among flavored cigarette paper, which are supplied by several manufacturers with different batches, the stability of the complex system of scented cigarette paper was analyzed and evaluated. In this study, Headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) was used to detect the aroma compounds of 23 flavored cigarette paper samples. Based on fingerprint analysis, the differences and changes of aroma compounds of different samples were studied in the form of data visualization. Principal component analysis, partial least squares regression analysis, cluster heatmap analysis and artificial neural network analysis were used to evaluate the stability of different cigarette paper. The results show that: A total of 29 volatile substances were identified from different scented cigarette paper. Fingerprint analysis revealed that the volatile substances of different cigarette paper samples were roughly the same, but not the content. The results of chemometrics analysis showed that there were significant differences in the characteristic aroma compounds of cigarette paper from different manufacturers. HS-GC-IMS technology combined with chemometrics method could be applied to determine the difference of volatile substances among different flavored cigarette paper, which theoretically and technically supported the quality stability maintenance and identification of flavored cigarette paper processed in different places.

Topics & Concepts

ChemometricsIon-mobility spectrometryAromaChemistryChromatographyPartial least squares regressionFingerprint (computing)Gas chromatography–mass spectrometryMass spectrometryPrincipal component analysisGas chromatographyFood scienceComputer scienceArtificial intelligenceMachine learningAdvanced Chemical Sensor TechnologiesSpectroscopy and Chemometric AnalysesFermentation and Sensory Analysis