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不同陈酿年份黄酒中香气化合物的定量构效关系(QSAR)。

Quantitative structure-activity relationships (QSAR) of aroma compounds in different aged Huangjiu.

机构信息

School of Perfume and Aroma Technology, Shanghai Inst. of Technology, No. 100 Hai Quan Rd., Shanghai, 201418, China.

Shanghai Kangshi Food Technology Co., Ltd., No. 1978 Lianhua Rd., Shanghai, 201103, China.

出版信息

J Food Sci. 2020 Oct;85(10):3273-3281. doi: 10.1111/1750-3841.15421. Epub 2020 Sep 12.

Abstract

Huangjiu is a traditional wine in China with special taste and flavor. However, changes of aroma compounds during storage of Huangjiu remain unclear. In this study, aroma compounds in Jinse Nianhua Huangjiu of three different storage ages were qualitatively and quantitatively analyzed via headspace solid phase microextraction (HS-SPME) combined with gas chromatography-mass spectrometry (GC-MS). Based on odor activity value (OAV), the most important aroma compounds were found to be esters, aldehydes, alcohols, acids, ketones, phenols, and lactones. Even though the types of the aroma compounds were similar in different-aged Huangjiu, the concentrations of some compounds varied. Some aroma compounds' thresholds and OAV in Huangjiu were obtained by AC'Scent Intl. Olfactometer. It showed the key aroma compounds in Huangjiu had a positive correlation with their OAV instead of concentration. Quantitative structure-activity relationship (QSAR) models were developed to predict the flavor thresholds for alcohols, acids, and esters in Huangjiu, with higher accuracy for alcohols (R = 0.978) and acids (R = 0.987). This study will provide valuable information to unveil the regulation of Huangjiu flavor from molecular basis. PRACTICAL APPLICATION: The built mathematical model enables to predict changes of aroma compounds in Huangjiu during storage, based on the relationship between the quantum structure parameters of those aroma compounds and the odor activity value of flavor chemicals. This research will contribute to simplifying the wine flavor analysis for wine industry and also help to identify the age of the Huangjiu for customers.

摘要

黄酒是中国的一种传统酒类,具有独特的口感和风味。然而,黄酒在贮存过程中香气成分的变化尚不清楚。本研究采用顶空固相微萃取(HS-SPME)与气相色谱-质谱联用(GC-MS)相结合的方法,对三种不同贮存年份的金色年华黄酒中的香气成分进行了定性和定量分析。基于气味活度值(OAV),发现最重要的香气化合物为酯类、醛类、醇类、酸类、酮类、酚类和内酯类。尽管不同陈酿年份的黄酒中香气化合物的类型相似,但某些化合物的浓度有所不同。一些香气化合物的阈值和 OAV 是通过 AC'Scent Intl. Olfactometer 获得的。结果表明,黄酒中关键香气化合物与 OAV 呈正相关,而与浓度无关。建立了定量结构-活性关系(QSAR)模型来预测黄酒中醇类、酸类和酯类的风味阈值,醇类(R = 0.978)和酸类(R = 0.987)的预测精度较高。本研究将为揭示黄酒风味的调控机制提供有价值的信息。实际应用:所建立的数学模型可以根据这些香气化合物的量子结构参数与风味化学物质的气味活度值之间的关系,预测黄酒在贮存过程中香气化合物的变化。这项研究将有助于简化葡萄酒行业的葡萄酒风味分析,也有助于识别客户所购买的黄酒的年份。

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