Flavor characterization of Citri Reticulatae Pericarpium (Citrus reticulata 'Chachiensis') with different aging years via sensory and metabolomic approaches

被引:11
|
作者
Liu, Yuan [1 ,2 ]
Wen, Huan [1 ,2 ]
Kong, Jiatao [1 ,2 ]
Hu, Zhehui [1 ,2 ]
Hu, Yang [3 ]
Zeng, Jiwu [4 ]
Chen, Xiangling [5 ]
Zhang, Hongyan [1 ,2 ]
Chen, Jiajing [1 ,2 ]
Xu, Juan [1 ,2 ]
机构
[1] Huazhong Agr Univ, Coll Hort & Forestry Sci, Natl Key Lab Germplasm Innovat & Utilizat Crops, Wuhan 430070, Peoples R China
[2] Huazhong Agr Univ, Sensory Evaluat & Qual Anal Ctr Hort Prod, Wuhan 430070, Peoples R China
[3] Jiangmen Xinhui Dist Forestry Res Inst, Jiangmen 529100, Peoples R China
[4] Guangdong Acad Agr Sci, Fruit Res Inst, Guangzhou 510640, Guangdong, Peoples R China
[5] Guangxi Acad Agr Sci, Inst Hort Res, Nanning 530007, Peoples R China
关键词
Guangchenpi (GCP); Aging process; Sensory evaluation; Flavor -related metabolites; Characteristic aroma compounds; Predictive modeling; VOLATILE COMPOUNDS; FRUITS; PEEL; IDENTIFICATION; CONSTITUENTS; ANTIOXIDANT; FLAVONOIDS; BLANCO;
D O I
10.1016/j.foodchem.2024.138616
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
Guangchenpi (GCP), which is the peel of Citrus reticulata 'Chachiensis', is widely used as an herbal medicine, tea and food ingredient in southeast Asia. Prolonging its aging process results in a more pleasant flavor and increases its profitability. Through the integration of sensory evaluation with flavoromic analysis approaches, we evaluated the correlation between the flavor attributes and the profiles of the volatiles and flavonoids of GCP with various aging years. Notably, d-limonene, gamma-terpinene, dimethyl anthranilate and alpha-phellandrene were the characteristic aroma compounds of GCP. Besides, alpha-phellandrene and nonanal were decisive for consumers' perception of GCP aging time due to changes of their odor activity values (OAVs). The flavor attributes of GCP tea liquid enhanced with the extension of aging time, and limonene-1,2-diol was identified as an important flavor enhancer. Combined with machine learning models, key flavor-related metabolites could be developed as efficient biomarkers for aging years to prevent GCP adulteration.
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页数:10
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