A Review of Wine Authentication Using Spectroscopic Approaches in Combination with Chemometrics

In a global context where trading of wines involves considerable economic value, the requirement to guarantee wine authenticity can never be underestimated. With the ever-increasing advancements in analytical platforms, research into spectroscopic methods is thriving as they offer a powerful tool for rapid wine authentication. In particular, spectroscopic techniques have been identified as a user-friendly and economical alternative to traditional analyses involving more complex instrumentation that may not readily be deployable in an industry setting. Chemometrics plays an indispensable role in the interpretation and modelling of spectral data and is frequently used in conjunction with spectroscopy for sample classification. Considering the variety of available techniques under the banner of spectroscopy, this review aims to provide an update on the most popular spectroscopic approaches and chemometric data analysis procedures that are applicable to wine authentication.     

Development of a Wine Metabolomics Approach for the Authenticity Assessment of Selected Greek Red Wines

Wine metabolomics constitutes a powerful discipline towards wine authenticity assessment through the simultaneous exploration of multiple classes of compounds in the wine matrix. Over the last decades, wines from autochthonous Greek grape varieties have become increasingly popular among wine connoisseurs, attracting great interest for their authentication and chemical characterization. In this work, 46 red wine samples from Agiorgitiko and Xinomavro grape varieties were collected from wineries in two important winemaking regions of Greece during two consecutive vintages and analyzed using ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-QToF-MS). A targeted metabolomics methodology was developed, including the determination and quantification of 28 phenolic compounds from different classes (hydroxycinnamic acids, hydroxybenzoic acids, stilbenes and flavonoids). Moreover, 86 compounds were detected and tentatively identified via a robust suspect screening workflow using an in-house database of 420 wine related compounds. Supervised chemometric techniques were employed to build an accurate and robust model to discriminate between two varieties.     

Supramolecular Sensor for Astringent Procyanidin C1: Fluorescent Artificial Tongue for Wine Components

An artificial tongue that detects astringent components for a comprehensive evaluation of taste has not been established to date. Herein, we first propose fluorescent polythiophene (PT) derivatives ( S1 – S3 ) modified with 3-pyridinium boronic acid as supramolecular chemosensors for wine components including astringent procyanidin C1. After numerous attempts for the synthetic conditions, more than 95 mol % of the PT unit was modified with the pyridinium boronic acid moiety. To evaluate the PT derivatives as chemosensors of the artificial tongue, qualitative and quantitative analyses were performed with four types of wine components (i.e., sweet, sour, bitter, and astringent tastes) in combination with pattern recognition models. Notably, procyanidin C1 in the actual wine sample was successfully detected in a quantitative manner. In other words, we have established an authentic artificial tongue using PT based supramolecular chemosensors.     

Fluorometric determination of urea in alcoholic beverages by using an acid urease column-FIA system

An acid urease column was applied to a fluorometric flow-injection analysis (FIA) system as a recognition element for determination of urea in rice wines.

The acid urease has specific properties of showing its catalytic activity in low pH range and tolerance to ethanol in comparison to those of a urease from jack-beans. The enzymes were covalently immobilized onto porous glass beads with controlled pore size and then, packed into a small polymer column. The flow-type of the biosensing system was assembled with a sample injection valve, the immobilized enzyme column, and a flow-through quartz cell attached to a fluorescent spectrophotometer. Citrate buffer (50 mM, pH 5.0) as the carrier solution was continuously pumped through the system. Sample solutions were introduced into the system via a rotary injection valve. A standard urea solution was measured through monitoring variations in fluorescent intensity attributable to fluorescent isoindole derivatives formed by coupling with ammonia molecules released in the enzymatic hydrolysis of urea and orthophthalaldehyde reagents. The fluorescent intensity was measured under the conditions of λ_ex = 415 nm and λ_em = 485 nm. A wide, linear relationship was obtained between the concentration of urea (1.0–100 μM) and the variation in fluorescent intensity. The monitoring did not suffer from ethanol and various amino acids contained in rice wines. Real samples pretreated with ion exchange resins for removal of endogenous ammonia were introduced into the FIA system and urea in the samples was determined. These results were compared with those obtained with use of an F-kit method. The proposed FIA system should present sensitive, selective and convenient analysis of urea in alcoholic beverages.     

Determination of phenolic compounds and authentication of PDO Lambrusco wines by HPLC-DAD and chemometric techniques

This work proposes a fast and simple method for detection and quantification of phenolic compounds in PDO Lambrusco wines using HPLC-DAD and chemometric techniques. Samples belonging to three different varieties of Lambrusco (Grasparossa, Salamino and Sorbara) were analyzed to provide a methodology appropriate for routine analysis. Given the high complexity of the sample and the coelution among chromatographic peaks, the use of chemometric techniques to extract the information of the individual eluting compounds was needed. Multivariate curve resolution-alternating least squares (MCR-ALS) allowed the resolution of the chromatographic peaks obtained and the use of this information for the quantification of the phenolic analytes in the presence of interferences. Use of multiset analysis and local rank/selectivity information was proven to be crucial for the correct resolution and quantification of compounds. The quantitative data provided by MCR-ALS about the phenolic targets and additional compounds present in the samples analyzed provided wine composition profiles, which were afterwards used to distinguish among wine varieties. Principal component analysis applied to the wine profiles allowed characterizing the wines according to their varieties.     

高效毛细管电泳法测定葡萄酒中的苋菜红及亮蓝

建立了高效毛细管电泳法直接分离测定葡萄酒中苋菜红及壳蓝的方法。研究了缓冲体系种类、pH值、缓冲溶液浓度及有机添加剂对分离效果的影响。确定的最佳实验条件：未涂层石英毛细管柱（50cm×75μm）,分离缓冲溶液10mmol／L柠檬酸-5mmol／L∥一环糊精（pH2．6）,检测波长220nm,电泳电压20kv,压力进样（20kPa×3s）,电泳温度为室温。该方法测定的苋菜红及亮蓝质量浓度在2-200mg／L范围内线性良好,苋菜红及亮蓝的检出限分别为0．58,0．50mg／L,线性相关系数-≥0．9994,回收率在93．9％～107．2％之间。该方法无需样品预处理,操作简便,测定准确,能满足实际样品的分析需求。     

醋酸酐衍生-气相色谱-质谱联用测定葡萄酒中的糖醇

建立了先采用醋酸酐衍生然后用气相色谱-质谱联用仪检测葡萄酒中糖醇的方法。在葡萄酒中加入吡啶涡旋混合均匀,以5000 r/min (4℃)离心10 min。取上清液过有机滤膜,加入吡啶、醋酸酐衍生。加无水硫酸钠吸水后,经DB-5MS毛细管气相色谱柱分离,在选择离子监测(SIM)模式下进行检测。各目标物在0.019~1.25 mg/L (乳糖醇在0.039~2.50 mg/L)范围内线性关系良好,相关系数(r²)均大于0.99。赤藓糖醇、木糖醇、甘露糖醇、山梨糖醇、半乳糖醇和乳糖醇的定量限(信噪比(S/N)=10)分别为0.17、0.29、0.43、0.46、0.47和2.88 mg/L;检出限(S/N=3)分别为0.05、0.08、0.13、0.14、0.14和1.38 mg/L。在40 mg/L和80 mg/L加标水平下,6种糖醇在葡萄酒基质中的回收率为80.15%~108.75%,相对标准偏差(RSD)为2.16%~6.97%。该方法的灵敏度、准确度和精密度均符合相关的技术要求,适合于葡萄酒中糖醇含量的快速检测。     

高中化学“物质转化及反应调控”项目式学习*——我是米酒酿造师

以“我是米酒酿造师——如何在家中酿造出美味可口的米酒”为项目主题,在化学、生物学科融合的大背景下,开展“物质转化及反应调控”的教学。通过“了解米酒酿造的原理、探究米酒酿造的影响因素、设计米酒酿造的方案”等3个核心活动,落实典型有机化合物的性质、有机化合物之间的转化等核心知识;在解决实际问题的过程中体会控制变量思想在科学探究中的重要作用,体会调控化学反应的速率和限度的重要意义。