School of Agriculture, Food and Wine, The University of Adelaide, PMB 1, Glen Osmond, SA 5064, Australia.
J Agric Food Chem. 2012 Jan 11;60(1):52-9. doi: 10.1021/jf203849h. Epub 2011 Dec 16.
In this study, the suitability of mid-infrared (MIR) spectroscopy, combined with principal component analysis (PCA) and linear discriminant analysis (LDA), was evaluated as a rapid analytical technique to identify smoke tainted wines. Control (i.e., unsmoked) and smoke-affected wines (260 in total) from experimental and commercial sources were analyzed by MIR spectroscopy and chemometrics. The concentrations of guaiacol and 4-methylguaiacol were also determined using gas chromatography-mass spectrometry (GC-MS), as markers of smoke taint. LDA models correctly classified 61% of control wines and 70% of smoke-affected wines. Classification rates were found to be influenced by the extent of smoke taint (based on GC-MS and informal sensory assessment), as well as qualitative differences in wine composition due to grape variety and oak maturation. Overall, the potential application of MIR spectroscopy combined with chemometrics as a rapid analytical technique for screening smoke-affected wines was demonstrated.
在这项研究中，评估了中红外（MIR）光谱结合主成分分析（PCA）和线性判别分析（LDA）作为一种快速分析技术来识别烟熏污染葡萄酒的适用性。使用 MIR 光谱和化学计量学对来自实验和商业来源的对照（即未烟熏）和受烟熏影响的葡萄酒（共 260 种）进行了分析。还使用气相色谱-质谱（GC-MS）测定了愈创木酚和 4-甲基愈创木酚的浓度，作为烟熏污染的标志物。LDA 模型正确分类了 61%的对照酒和 70%的烟熏酒。分类率受烟熏污染程度（基于 GC-MS 和非正规感官评估）以及由于葡萄品种和橡木成熟度导致的葡萄酒成分定性差异的影响。总体而言，证明了 MIR 光谱结合化学计量学作为一种快速分析技术筛选烟熏污染葡萄酒的潜在应用。
