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« Previous Abstract"Evaluation of the Perceptual Interaction among Ester Odorants and Nonvolatile Organic Acids in Baijiu by GC-MS, GC-O, Odor Threshold, and Sensory Analysis"    Next AbstractEffect of heating history on the emission of volatile organic compounds from asphalt materials »

Food Chem


Title:A flavoromics strategy for the differentiation of different types of Baijiu according to the non-volatile organic acids
Author(s):Wang G; Song X; Zhu L; Li Q; Zheng F; Geng X; Li L; Wu J; Li H; Sun B;
Address:"Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology and Business University, Beijing 100048, China; Beijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China. Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology and Business University, Beijing 100048, China; Beijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China. Electronic address: zhengfp@btbu.edu.cn"
Journal Title:Food Chem
Year:2022
Volume:20211119
Issue:
Page Number:131641 -
DOI: 10.1016/j.foodchem.2021.131641
ISSN/ISBN:1873-7072 (Electronic) 0308-8146 (Linking)
Abstract:"Non-volatile organic acids (NVOAs) in 12 main flavor types of Baijiu were analyzed by a derivatization method combined with GC-MS and 38 NVOAs were quantified. Meanwhile, a flavoromics strategy based on the contents of NVOAs in the 12 flavor types of Baijiu was successfully used to the differentiation of Baijiu. PLS-DA models (explained variation, predictive capability) were used to consider different categories: fermentation process (0.931, 0.870), starter (0.921, 0.834), fermentation container (0.899, 0.810) and raw material (0.951, 0.909). Based on the selected categories, suitable separations were achieved, and the classification ability of these models were nearly 100%. As a result, the model demonstrated its ability to perfectly distinguish different types of Baijiu. Seventeen potential markers were identified by variable importance in projection method and were further processed using heatmap and hierarchical cluster analysis, indicating that the NVOAs had great discrimination power to differentiate Baijiu"
Keywords:Acids Fermentation Gas Chromatography-Mass Spectrometry *Volatile Organic Compounds/analysis Baijiu Derivatization Flavor Flavoromics strategy non-volatile organic acids;
Notes:"MedlineWang, Guangnan Song, Xuebo Zhu, Lin Li, Qing Zheng, Fuping Geng, Xiaojie Li, Lianghao Wu, Jihong Li, Hehe Sun, Baoguo eng England 2021/11/28 Food Chem. 2022 Apr 16; 374:131641. doi: 10.1016/j.foodchem.2021.131641. Epub 2021 Nov 19"

 
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