Research on the application of liquid-liquid extraction-gas chromatography-mass spectrometry (LLE-GC-MS) and headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) in distinguishing the Baiyunbian aged liquors

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Rong Zhou ◽  
Xiao Chen ◽  
Ying Xia ◽  
Maobin Chen ◽  
Yu Zhang ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
Liquid Extraction ◽  
Flavor Compounds ◽  
Gas Chromatography Mass Spectrometry ◽  
Headspace Gas Chromatography ◽  
Liquid Liquid Extraction ◽  
Headspace Gas

AbstractThe purpose of the study was to reveal the differences of the flavor compounds among five Baiyunbian aged liquors by liquid-liquid extraction-gas chromatography-mass spectrometry (LLE-GC-MS) and headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS). In optimizing the LLE parameters, an extractant, methyl tert-butyl ether, was found which has a good extract effect and has never been used for the extraction of liquor flavor substances. Then the optimized LLE method has been applied to comprehensively analyze flavor compounds in 3-year-storage liquors (3Y), 5Y, 12Y, 15Y, and 20Y of Baiyunbian liquors combined with GC-MS. The results showed that the number and concentration of total flavor compounds also enhanced with the increase of cellaring ages. The total concentration of flavor compounds in 20Y was the highest (4543.23 mg/L), and the 3Y was the lowest (3984.96 mg/L). Among them, the significant differences among five samples were esters, alcohols, acids and nitrogen-containing compounds. Cluster analysis was used to analyze the aromas profiles by LLE-GC-MS, which revealed relationship among five samples. The results showed that the similarity of the samples was highest between 15Y and 20Y, followed by 3Y and 5Y. The characteristic flavors fingerprints of five kinds of Baiyunbian aged liquors were established by HS-GC-IMS. The results showed that the characteristic peaks in GC-IMS 3D spectra corresponding to flavor compounds can effectively characterize the sample information areas. The sectional intensities of 60 characteristic peaks in the corresponding three-dimensional spectra were selected as variables. After the principal components analysis (PCA) was used to reduce information dimensionality, it was further distinguished by HS-GC-IMS that 3Y and 5Y can be completely separated, but 15Y and 20Y were very similar and cannot be completely distinguished. The obtained results are valuable for the in-depth understanding and further study of flavors of Baiyunbian liquors.

scholarly journals Headspace Gas Chromatography Coupled to Mass Spectrometry and Ion Mobility Spectrometry: Classification of Virgin Olive Oils as a Study Case

Foods ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1288
Author(s):  
María García-Nicolás ◽  
Natalia Arroyo-Manzanares ◽  
Lourdes Arce ◽  
Manuel Hernández-Córdoba ◽  
Pilar Viñas
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Olive Oil ◽  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
External Validation ◽  
Headspace Gas Chromatography ◽  
Validation Rate ◽  
Headspace Gas

Due to its multiple advantages, ion mobility spectrometry (IMS) is being considered as a complementary technique to mass spectrometry (MS). The goal of this work is to investigate and compare the capacity of IMS and MS in the classification of olive oil according to its quality. For this purpose, two analytical methods based on headspace gas chromatography (HS-GC) coupled with MS or with IMS have been optimized and characterized for the determination of volatile organic compounds from olive oil samples. Both detectors were compared in terms of sensitivity and selectivity, demonstrating that complementary data were obtained and both detectors have proven to be complementary. MS and IMS showed similar selectivity (10 out of 38 compounds were detected by HS-GC-IMS, whereas twelve compounds were detected by HS-GC-MS). However, IMS presented slightly better sensitivity (Limits of quantification (LOQ) ranged between 0.08 and 0.8 µg g−1 for HS-GC-IMS, and between 0.2 and 2.1 µg g−1 for HS-GC-MS). Finally, the potential of both detectors coupled with HS-GC for classification of olive oil samples depending on its quality was investigated. In this case, similar results were obtained when using both HS-GC-MS and HS-GC-IMS equipment (85.71 % of samples of the external validation set were classified correctly (validation rate)) and, although both techniques were shown to be complementary, data fusion did not improve validation results (80.95% validation rate).

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