首页> 外文期刊>South African Journal of Enology and Viticulture >Effect of vegetation time and climatic conditions on trans-resveratrol concentrations in cabernet sauvignon and merlot wines from different regions in Turkey
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Effect of vegetation time and climatic conditions on trans-resveratrol concentrations in cabernet sauvignon and merlot wines from different regions in Turkey

机译:植被时间和气候条件对来自土耳其不同地区的赤霞珠和美乐葡萄酒中反式白藜芦醇浓度的影响

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In this study, 21 wine samples obtained from wine manufacturers in Turkey and produced from different grape varieties cultivated in different geographical regions, were analysed to determine their resveratrol concentrations. The HPLC method was used to analyse the trans-resveratrol concentrations of wines. Statistical analysis was done using IBM SPSS Statistics Version 20.0.0. Mean values were compared by using the Tukey test at a confidence level of p = 0.05. The resveratrol concentrations of Cabernet Sauvignon and Merlot grapes were also determined. Since these two varieties are grown widely in many regions of Turkey, they were studied in terms of the relationship of the resveratrol concentrations with parameters such as time of vegetation, total effective temperature, sunshine duration and rainfall. Positive correlations were observed between resveratrol levels and grape varieties, geographical regions and total effective temperature. The results of the statistical analysis showed that resveratrol concentrations also varied depending on vegetation time, sunshine duration and amount of rainfall in the vineyards. This study aimed to identify the relationships between (1) resveratrol concentrations of wines, (2) vegetation time of the grapes and (3) climatic conditions of the respective regions. Moreover, the effects of grape types on resveratrol concentrations were investigated. This study contributes to the body of knowledge by providing results on the utilisation of grapes that have high resveratrol levels for producing wines that have functional properties that are increasingly in demand by consumers.
机译:在这项研究中,分析了从土耳其的葡萄酒生产商处获得的21个葡萄酒样品,并从不同地理区域种植的不同葡萄品种生产了21个葡萄酒样品,以确定其白藜芦醇浓度。 HPLC方法用于分析葡萄酒中反式白藜芦醇的浓度。使用IBM SPSS Statistics版本20.0.0进行统计分析。使用Tukey检验在p = 0.05的置信水平下比较平均值。还确定了赤霞珠和梅洛葡萄的白藜芦醇浓度。由于这两个品种在土耳其的许多地区广泛种植,因此根据白藜芦醇浓度与植被时间,总有效温度,日照持续时间和降雨等参数之间的关系进行了研究。白藜芦醇水平与葡萄品种,地理区域和总有效温度之间存在正相关。统计分析的结果表明,白藜芦醇的浓度也随植被时间,日照时间和葡萄园降雨量的不同而变化。这项研究旨在确定(1)葡萄酒中白藜芦醇浓度,(2)葡萄的生长期和(3)各个地区的气候条件之间的关系。此外,研究了葡萄类型对白藜芦醇浓度的影响。这项研究通过提供具有高白藜芦醇含量的葡萄用于生产功能特性日益受到消费者需求的葡萄酒的利用结果,为知识体系做出了贡献。

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