| Literature DB >> 30195525 |
Adriana Marcia Graboski1, Elisiane Galvagni1, Alexandra Manzoli1, Flavio Makoto Shimizu2, Claudio Augusto Zakrzevski1, Thiago Andre Weschenfelder1, Juliana Steffens1, Clarice Steffens3.
Abstract
Aroma is closely related to the food product acceptability and an important product quality indicator. Electronic-nose (E-nose) systems are an interesting alternative to traditional methods of aroma analyses. A lab-made E-nose system equipped with an array of sensing units comprised by gold interdigitated microelectrodes (IDEs) using polyaniline (Pani) as sensitive layers deposited by the in situ and Layer-by-layer (LbL) methods was used to analyze aromas in gummy candies. Different concentrations from artificial aromas (apple, strawberry and grape), added to the gummy candies were evaluated. Our system presented 21.6 mV.ppb-1 sensitivity, ppb range detection limit, and good reversibility, around 97.6%. The sensitive layers of Pani films was adequate deposited on IDEs observed by the Attenuated Total Reflection/Fourier-transform infrared spectroscopy (ATR/FTIR). Linear Discriminant Analysis (LDA) was able to classify apple, strawberry, and grape aromas added to gummy candies using saturation potential values from the E-nose system, demonstrating its applicability in food matrices.Entities:
Keywords: Food matrices; Gold interdigitated microelectrodes; Linear discriminant analysis (LDA); Sensing units
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Year: 2018 PMID: 30195525 DOI: 10.1016/j.foodres.2018.07.011
Source DB: PubMed Journal: Food Res Int ISSN: 0963-9969 Impact factor: 6.475