Comparative Study of E-Nose, GC-MS, and GC-IMS to Distinguish Star Anise Essential Oil Extracted Using Different Extraction Methods

• Published in: Separations Vol. 10; no. 4; p. 256
• Main Authors: Chai, Xianghua, Huang, Xiaowan, Zhang, Tong, Wu, Kegang, Duan, Xuejuan, Yu, Hongpeng, Liu, Xiaoli
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-04-2023
• Subjects: Chemical properties; Chromatography; Comparative analysis; Comparative studies; Discriminant analysis; E-nose; Electronic noses; Energy consumption; Essences and essential oils; Essential oils; Ethanol; Extraction (Chemistry); fingerprint; Gas chromatography; GC-IMS; GC-MS; Gram-positive bacteria; Ionic mobility; Mass spectrometry; Methods; Oils & fats; Principal components analysis; Scientific imaging; Sensors; Solvent extraction; Solvent extraction processes; Spectrum analysis; Star anise; star anise essential oils; Supercritical gas extraction; Volatile compounds; China; United States > US; Germany
• ISSN: 2297-8739; 2297-8739
• DOI: 10.3390/separations10040256

In this study, star anise (Illicium verum) essential oils (SAEOs) were extracted by hydrodistillation (HD), ethanol solvent extraction (ESE), supercritical CO2 (SCD) and subcritical extraction (SE) via electronic nose (E-nose), gas chromatography-mass spectrometry (GC-MS), and GC-ion mobility spectrometry (GC-IMS). GC-MS and GC-IMS were used to identify the volatile compounds, and GC-MS was also used to determine their concentrations. Principal component analysis (PCA) and linear discriminant analysis (LDA) were used to visualise volatile compounds and differentiate samples. The results showed that anethole and limonene were the main volatile compounds in SAEOs extracted using the four methods and their components were similar, albeit in different proportions. In addition, the fingerprints of their volatile components were established via E-nose and GC-IMS analyses. In general, GC-MS, GC-IMS, and E-nose combined with PCA and LDA analysis could accurately distinguish SAEOs extracted using different extraction methods, and GC-IMS was identified as the most suitable method because of its accuracy and rapidity.