Rapid analysis of Baijiu volatile compounds fingerprint for their aroma and regional origin authenticity assessment

• Published in: Food chemistry 2021-02, Vol.337, p.128002-128002, Article 128002
• Main Authors: He, Xi, Yangming, Huang, Górska-Horczyczak, Elżbieta, Wierzbicka, Agnieszka, Jeleń, Henryk H.
• Format: Article
• Language: English
• Subjects: Aroma; Baijiu; China; Classification; E-nose; Electronic Nose; Gas Chromatography-Mass Spectrometry - methods; Odorants - analysis; Solid Phase Microextraction - methods; SPME-MS; Volatile Organic Compounds - analysis; Volatile Organic Compounds - chemistry; Volatiles
• ISSN: 0308-8146; 1873-7072
• DOI: 10.1016/j.foodchem.2020.128002

•Two rapid methods for analysis of volatiles fingerprint in Chinese Baijiu were developed.•SPME-MS and GC based E-nose methods allowed analysis in 7 min or less.•For method performance comparison the same statistical approach was used.•Flavour and regional classification for Baijiu was successful using both methods.•SPME-MS presented better classification performance using OPLS-DA and PLS-DA models. Solid-phase microextraction – mass spectrometry (SPME-MS) and fast gas chromatography based electronic nose (GC-E-Nose) were used and compared for their suitability to distinguish Baijiu of various aroma types and geographical origin. Baijiu is a traditional Chinese distilled spirit produced with complex consortia of microorganisms, which results in very complex aroma compounds profiles. A total of 65 Baijiu samples representing 6 aromas were investigated. Strong aroma types from 3 regions were examined for their origin. Data acquired on two analytical systems were processed using uniform statistical approach. Data were pre-processed for multi-classification (OPLS-DA) models as well as for binary classification (PLS-DA) ones. Aroma and regional classification performed using OPLS-DA indicated that the approach based on SPME-MS had better fitness and prediction ability compared with GC-E-Nose. The total correct classification rate for SPME-MS was 94.44% for aroma and 100% for region, whereas for GC-E-Nose these values were 91.53% and 93.94% respectively.