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Adulteration of Clove Essential Oil: Detection Using an Electronic Nose with Polymeric Gas Sensors

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Author(s):
Graboski, Adriana Marcia ; Feltes, Giovana ; Zakrzevski, Claudio Augusto ; Shimizu, Flavio Makoto ; Steffens, Juliana ; Paroul, Natalia ; Steffens, Clarice
Total Authors: 7
Document type: Journal article
Source: FOOD ANALYTICAL METHODS; v. 17, n. 2, p. 13-pg., 2023-12-29.
Abstract

Food adulteration is a global concern that affects almost all the food industry. The market for clove essential oil (CEO) has also been affected by corrupt practices. As an alternative to monitoring the quality of this product, an electronic nose (e-nose) based on an array of polymeric nanocomposite gas sensors modified with different sensitive layers was applied to detect vaseline (petroleum jelly), the most common adulterant found in the CEO. Different proportions of vaseline (ranging from 3 to 100% (v/v)) were mixed with CEO samples, and the fingerprints of volatile compounds were obtained using the e-nose and Fourier transform infrared-attenuated total reflectance (FTIR-ATR) spectroscopy. Collected data were analyzed using clustering analysis (CA), principal component analysis (PCA), linear discriminant analysis (LDA), and interactive document map (IDMAP) multivariate projection techniques. These were capable of discriminating between the different percentages of adulterants. The results of this study demonstrated that chemometric tools can be successfully used as e-nose and applied to detect mislabeling and adulteration of CEO, where PCA, LDA, and IDMAP showed accuracies of 99.85, 98.30, and 99.81%, respectively. The e-nose results were consistent with the findings from density and refractive index experiments. Thus, the results obtained demonstrate that the e-nose is a promising tool for analyzing CEO adulterations, proving its potential application in the food industry due to its rapid, economical, and high-performance tool. (AU)

FAPESP's process: 18/22214-6 - Towards a convergence of technologies: from sensing and biosensing to information visualization and machine learning for data analysis in clinical diagnosis
Grantee:Osvaldo Novais de Oliveira Junior
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 18/18953-8 - Nanostructured films applied in microfluidic biosensors to mastitis detection
Grantee:Andrey Coatrini Soares
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 12/15543-7 - Biosensors to detect Escherichia coli using the concept of an extended electronic tongue
Grantee:FLAVIO MAKOTO SHIMIZU
Support Opportunities: Scholarships in Brazil - Post-Doctoral