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果汁指数:一个综合的长相思葡萄和葡萄酒代谢组学数据库,主要显示季节性差异。

Juice Index: an integrated Sauvignon blanc grape and wine metabolomics database shows mainly seasonal differences.

机构信息

Viticulture and Oenology Group, The New Zealand Institute for Plant and Food Research Ltd, Blenheim, New Zealand.

School of Biological Sciences, The University of Auckland, Auckland, New Zealand.

出版信息

Metabolomics. 2019 Jan 2;15(1):3. doi: 10.1007/s11306-018-1469-y.

Abstract

INTRODUCTION

Although Sauvignon Blanc (SB) grapes are cultivated widely throughout New Zealand, wines from the Marlborough region are most famous for their typical varietal combination of tropical and vegetal aromas. These wines differ in composition from season to season as well as among locations within the region, which makes the continual production of good quality wines challenging. Here, we developed a unique database of New Zealand SB grape juices and wines to develop tools to help winemakers to make blending decisions and assist in the development of new wine styles.

METHODS

About 400 juices were collected from different regions in New Zealand over three harvest seasons (2011-2013), which were then fermented under controlled conditions using a commercial yeast strain Saccharomyces cerevisiae EC1118. Comprehensive metabolite profiling of these juices and wines by gas chromatography-mass spectrometry (GC-MS) was combined with their detailed oenological parameters and associated meteorological data.

RESULTS

These combined metabolomics data clearly demonstrate that seasonal variation is more prominent than regional difference in both SB grape juices and wines, despite almost universal use of vineyard irrigation to mitigate seasonal rainfall and evapotranspiration differences, Additionally, we identified a group of juice metabolites that play central roles behind these variations, which may represent chemical signatures for juice and wine quality assessment.

CONCLUSION

This database is the first of its kind in the world to be available for the wider scientific community and offers potential as a predictive tool for wine quality and innovation when combined with mathematical modelling.

摘要

简介

尽管长相思(SB)葡萄在新西兰广泛种植,但马尔堡地区的葡萄酒因其典型的热带和植物香气的品种组合而最为著名。这些葡萄酒的成分因季节和地区而异,这使得持续生产高质量的葡萄酒具有挑战性。在这里,我们开发了一个独特的新西兰 SB 葡萄汁和葡萄酒数据库,以开发工具帮助酿酒师做出混合决策,并协助开发新的葡萄酒风格。

方法

在三个收获季节(2011-2013 年)中,我们从新西兰的不同地区收集了约 400 种果汁,然后在控制条件下使用商业酵母菌株酿酒酵母 EC1118 发酵。通过气相色谱-质谱联用仪(GC-MS)对这些果汁和葡萄酒进行综合代谢物分析,并结合其详细的酿造学参数和相关气象数据。

结果

这些综合代谢组学数据清楚地表明,尽管几乎普遍使用葡萄园灌溉来减轻季节性降雨和蒸散差异的影响,但季节性变化在 SB 葡萄汁和葡萄酒中比地区差异更为明显。此外,我们确定了一组在这些变化中起核心作用的果汁代谢物,它们可能代表果汁和葡萄酒质量评估的化学特征。

结论

该数据库是世界上第一个可供更广泛科学界使用的数据库,当与数学建模结合使用时,它具有作为葡萄酒质量和创新的预测工具的潜力。

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