Rapid Non-Destructive Quantification of Eugenol in Curdlan Biofilms by Electronic Nose Combined with Gas Chromatography-Mass Spectrometry

• Published in: Sensors (Basel, Switzerland) Switzerland), 2020-08, Vol.20 (16), p.4441
• Main Authors: Han, Lu, Zhu, Jingyi, Fan, Xia, Zhang, Chong, Tu, Kang, Peng, Jing, Wang, Jiahong, Pan, Leiqing
• Format: Article
• Language: English
• Subjects: beta-Glucans; biofilm; Biofilms; Chromatography; curdlan; Discriminant analysis; Electronic Nose; Electronic noses; Eugenol; Food; Gas chromatography; Gas Chromatography-Mass Spectrometry; GC-MS; Glycerol; Humans; Mass spectrometry; Methods; Nondestructive testing; Odorants - analysis; prediction model; Prediction models; Principal components analysis; Quantitative analysis; Scientific imaging; Sensors; Spectroscopy; Support vector machines; Volatility
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s20164441

Eugenol is hepatotoxic and potentially hazardous to human health. This paper reports on a rapid non-destructive quantitative method for the determination of eugenol concentration in curdlan (CD) biofilms by electronic nose (E-nose) combined with gas chromatography-mass spectrometry (GC-MS). Different concentrations of eugenol were added to the film-forming solution to form a series of biofilms by casting method, and the actual eugenol concentration in the biofilm was determined. Analysis of the odor collected on the biofilms was carried out by GC-MS and an E-nose. The E-nose data was subjected to principal component analysis (PCA) and linear discriminant analysis (LDA) in order to establish a discriminant model for determining eugenol concentrations in the biofilms. Further analyses involving the application of all sensors and featured sensors, the prediction model-based partial least squares (PLS) and support vector machines (SVM) were carried out to determine eugenol concentration in the CD biofilms. The results showed that the optimal prediction model for eugenol concentration was obtained by PLS at R of 0.952 using 10 sensors. The study described a rapid, non-destructive detection and quantitative method for determining eugenol concentration in bio-based packaging materials.