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通过核磁共振和化学计量学追溯啤酒样品的来源:以特拉普啤酒为例进行研究。

Tracing the origin of beer samples by NMR and chemometrics: Trappist beers as a case study.

作者信息

Mannina Luisa, Marini Federico, Antiochia Riccarda, Cesa Stefania, Magrì Antonio, Capitani Donatella, Sobolev Anatoly P

机构信息

Dipartimento di Chimica e Tecnologie del Farmaco, Sapienza Università di Roma, Rome, Italy.

Istituto di Metodologie Chimiche, CNR, Laboratorio di Risonanza Magnetica Nucleare "Annalaura Segre,", Monterotondo, Rome, Italy.

出版信息

Electrophoresis. 2016 Oct;37(20):2710-2719. doi: 10.1002/elps.201600082. Epub 2016 Aug 4.

Abstract

An NMR and chemometric analytical approach to classify beers according to their brand identity was developed within the European TRACE project (FP6-2003-FOOD-2-A, contract number: 0060942). Rochefort 8 Trappist beers (47 samples), other Trappist beers (76 samples) and non-Trappist beers (110 samples) were analyzed by H NMR spectroscopy. Selected NMR signals were measured and used to build classification models. Three different classification problems were identified, namely Trappist versus non-Trappist, Rochefort versus Non-Rochefort, and Rochefort 8 versus non-Rochefort 8. In all the three cases, both a discriminant and a modeling approaches were followed, using partial least squares discriminant analysis (PLS-DA) and soft independent modeling of class analogies (SIMCA), respectively, leading to very high classification accuracy as evaluated by external validation. Information regarding chemical composition was also obtained: Trappist beers contain a higher amount of formic and pyruvic acids and a lower amount of acetic acid and alanine with respect to non-Trappist ones. Rochefort beers turned out to have also a higher content of propanol and isopentanol with respect to non-Rochefort samples. Finally, Rochefort 8, shows the highest content of pyruvic acid and the lowest content of gallic, fumaric, acetic acids, adenosine, uridine, 2-phenylethanol, GABA, and alanine.

摘要

在欧洲TRACE项目(FP6 - 2003 - FOOD - 2 - A,合同编号:0060942)中,开发了一种基于核磁共振(NMR)和化学计量学的分析方法,用于根据啤酒的品牌特征对其进行分类。采用核磁共振氢谱(H NMR)光谱法对罗斯福8号特拉普啤酒(47个样品)、其他特拉普啤酒(76个样品)和非特拉普啤酒(110个样品)进行了分析。测量选定的核磁共振信号并用于建立分类模型。确定了三个不同的分类问题,即特拉普啤酒与非特拉普啤酒、罗斯福啤酒与非罗斯福啤酒、罗斯福8号啤酒与非罗斯福8号啤酒。在所有这三种情况下,分别采用偏最小二乘判别分析(PLS - DA)和类类比软独立建模(SIMCA),遵循判别和建模两种方法,经外部验证评估,分类准确率非常高。还获得了有关化学成分的信息:与非特拉普啤酒相比,特拉普啤酒含有较高含量的甲酸和丙酮酸,以及较低含量的乙酸和丙氨酸。与非罗斯福啤酒样品相比,罗斯福啤酒的丙醇和异戊醇含量也较高。最后,罗斯福8号啤酒的丙酮酸含量最高,而没食子酸、富马酸、乙酸、腺苷、尿苷、2 - 苯乙醇、γ-氨基丁酸(GABA)和丙氨酸的含量最低。

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