首页> 外文期刊>Journal of Agricultural and Food Chemistry >Characterization of the Key Aroma Volatile Compounds in Cranberry (Vaccinium macrocarpon Ait.) Using Gas Chromatography-Olfactometry (GC-O) and Odor Activity Value (OAV)
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Characterization of the Key Aroma Volatile Compounds in Cranberry (Vaccinium macrocarpon Ait.) Using Gas Chromatography-Olfactometry (GC-O) and Odor Activity Value (OAV)

机译:使用气相色谱-比色法(GC-O)和气味活度值(OAV)表征蔓越莓中的关键香气挥发性化合物

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摘要

The volatile compounds of cranberries obtained from four cultivars (Early Black, Yl; Howes, Y2; Searles, Y3; and McFarlin, Y4) were analyzed by gas chromatography olfactometry (GC-O), gas chromatography mass spectrometry (GC-MS), and GC flame photometric detection (FPD). The result presented that a total of thirty-three, thirty-four, thirty-four, and thirtysix odor-active compounds were identified by GC-O in the Y1, Y2, Y3, and Y4, respectively. In addition, twenty-two, twenty-two, thirty, and twenty-seven quantified compounds were demonstrated as important odorants according to odor actiVity values (OAVs > 1). Among these compounds, hexanal (OAV: 27-60), pentanal (OAV: 31-51), (E)-2-heptenal (OAV: 17-66), (E)-2hexenal (OAV: 18-63), (E)-2-octenal (OAV: 10-28), (E)-2-nonenal (OAV: 8-77), ethyl 2-methylbutyrate (OAV: 10-33), beta-ionone (OAV: 8-73), 2-methylbutyric acid (OAV: 18-37), and octanal (OAV: 4-24) contributed greatly to the aroma of cranberry. Partial least-squares regression (PLSR) was used to process the mean data accumulated from sensory evaluation by the panelists, odor-active aroma compounds (OAVs > 1), and samples. Sample Y3 was highly correlated with the sensory descriptors "floral" and "fruity". Sample Y4 was greatly related to the sensory descriptors "mellow" and "green and grass". Finally, an aroma reconstitution (Model A) was prepared by mixing the odor-active aroma compounds (OAVs > 1) based on their measured concentrations in the Yl sample, indicating that the aroma profile of the reconstitution was pretty similar to that of the original sample.
机译:通过气相色谱嗅觉法(GC-O),气相色谱质谱法(GC-MS)分析了从四个品种(Early Black,Y1; Howes,Y2; Searles,Y3;和McFarlin,Y4)获得的蔓越莓的挥发性化合物,和GC火焰光度检测(FPD)。结果表明,通过GC-O在Y1,Y2,Y3和Y4中分别识别出总共33种,34种,34种和36种气味活性化合物。此外,根据气味活性值(OAVs> 1),已证明22种,22种,30种和27种量化的化合物是重要的添味剂。在这些化合物中,己醛(OAV:27-60),戊醛(OAV:31-51),(E)-2-庚醛(OAV:17-66),(E)-2庚烯(OAV:18-63), (E)-2-辛烯(OAV:10-28),(E)-2-壬烯(OAV:8-77),2-甲基丁酸乙酯(OAV:10-33),β-紫罗兰酮(OAV:8- 73),2-甲基丁酸(OAV:18-37)和辛酸(OAV:4-24)有助于蔓越莓的香气。偏最小二乘回归(PLSR)用于处理由专家,感官香气化合物(OAVs> 1)和样品从感官评估中积累的平均数据。样品Y3与感官描述符“花香”和“果味”高度相关。样本Y4与感官描述符“柔和”和“绿色和草皮”密切相关。最后,通过基于Yl样品中所测量的气味活性气味化合物(OAVs> 1)混合来制备气味重建剂(模型A),这表明该重建剂的气味特征与原始气味特征非常相似。样品。

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