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Volatile organic compounds of tobacco leaves versus waste (scrap, dust, and midrib): extraction and optimization
Author(s) -
Banožić Marija,
Aladić Krunoslav,
Jerković Igor,
Jokić Stela
Publication year - 2020
Publication title -
journal of the science of food and agriculture
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.782
H-Index - 142
eISSN - 1097-0010
pISSN - 0022-5142
DOI - 10.1002/jsfa.10796
Subject(s) - aroma , extraction (chemistry) , chemistry , scrap , gas chromatography–mass spectrometry , flavor , response surface methodology , food science , chromatography , mass spectrometry , organic chemistry
BACKGROUND Volatile organic compounds are present at very low concentration but exhibit an important influence on flavor and aroma of tobacco leaves and products. During tobacco processing, at different stages, tobacco wastes occur. Since they are delivered directly from the tobacco plant, they are expected to have a similar aroma profile. RESULTS The volatile composition of three types of tobacco waste (scrap, dust, and midrib) was characterized for the first time and compared with tobacco leaves’ volatile composition. Ultrasound‐assisted extraction with hexane followed by gas chromatography–mass spectrometry was successfully applied. Different ultrasound‐assisted extraction parameters (temperature, time, and solvent:solid ratio) showed a significant influence on the volatile profiles of the extracts obtained. The most important compounds in tobacco leaves, scrap, and dust with the highest abundance were nicotine (up to 87.5%), 4,8,13‐duvatriene‐1,3‐diol (up to 16.2%), and neophytadiene (up to 9.4%). In midrib, only nicotine was present in all extracts. The most abundant compounds in the extracts were quantified and subjected to optimization using response surface methodology. CONCLUSION Regression analysis showed that 83–98% of the variation was explained by the models obtained. The experimentally obtained values agreed with those predicted, thus indicating the suitability of the model employed and the success of response surface methodology in optimizing the extraction conditions. © 2020 Society of Chemical Industry