Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractSubmerged yeast fermentation of acid cheese whey for protein production and pollution potential reduction    Next Abstract"Relationships of irrigation water and soil physical and chemical characteristics with yield, chemical composition and antimicrobial activity of Damask rose essential oil" »

Biosensors (Basel)


Title:A Paper-Based Biomimetic Sensing Device for the Discrimination of Original and Fraudulent Cigarette Brands Using Mixtures of MoS(2) Quantum Dots and Organic Dyes
Author(s):Gharaghani FM; Mostafapour S; Hemmateenejad B;
Address:"Chemistry Department, Shiraz University, Shiraz 71456-85464, Iran. Medicinal and Natural Products Chemistry Research Centre, Shiraz University of Medical Sciences, Shiraz 71348-53734, Iran"
Journal Title:Biosensors (Basel)
Year:2023
Volume:20230704
Issue:7
Page Number: -
DOI: 10.3390/bios13070705
ISSN/ISBN:2079-6374 (Electronic) 2079-6374 (Linking)
Abstract:"In this study, we investigated the combined effects of MoS(2) QDs' catalytic properties and the colorimetric responses of organic reagents to create a sniffing device based on the sensor array concept of the mammalian olfactory system. The aim was to differentiate the volatile organic compounds (VOCs) present in cigarette smoke. The designed optical nose device was utilized for the classification of various cigarette VOCs. Unsupervised Principal Component Analysis (PCA) and supervised Linear Discriminant Analysis (LDA) methods were employed for data analysis. The LDA analysis showed promising results, with 100% accuracy in both training and cross-validation. To validate the sensor's performance, we assessed its ability to discriminate between five cigarette brands, achieving 100% accuracy in the training set and 82% in the cross-validation set. Additionally, we focused on studying four popular Iranian cigarette brands (Bahman Kootah, Omega, Montana Gold, and Williams), including fraudulent samples. Impressively, the developed sensor array achieved a perfect 100% accuracy in distinguishing these brands and detecting fraud. We further analyzed a total of 126 cigarette samples, including both original and fraudulent ones, using LDA with a matrix size of (126 x 27). The resulting LDA model demonstrated an accuracy of 98%. Our proposed analytical procedure is characterized by its efficiency, affordability, user-friendliness, and reliability. The selectivity exhibited by the developed sensor array positions it as a valuable tool for differentiating between original and counterfeit cigarettes, thus aiding in border control efforts worldwide"
Keywords:*Quantum Dots Molybdenum Biomimetics Reproducibility of Results Iran *Tobacco Products Coloring Agents *Volatile Organic Compounds/analysis MoS2 QDs chemometrics cigarette discrimination electronic nose volatile organic compounds;
Notes:"MedlineGharaghani, Fereshte Mohamadi Mostafapour, Sara Hemmateenejad, Bahram eng 2004/Shiraz University/ Switzerland 2023/07/28 Biosensors (Basel). 2023 Jul 4; 13(7):705. doi: 10.3390/bios13070705"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 27-12-2024