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Comparison of non-invasive NIR and Raman spectrometries for determination of alcohol content of spirits

机译:非侵入式近红外和拉曼光谱法测定烈酒酒精含量的比较

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The suitability of non-invasive NIR and Raman spectrometries for determination of % ethanol content has been investigated. Samples of whisky, vodka and sugary alcoholic drinks were analysed in 200 mL (flat) and 700 mL (round) glass bottles. The NIR spectrometer used double transmission measurements and was limited mainly to analysis of the signal produced at about 10,000 cm(-1) by water and ethanol in the samples. The Raman measurements, produced using a 785 nm laser, were based on a sharp signal from ethanol at 880 cm(-1). A multivariate calibration model, based on a combined PCA-PLS algorithm, was required for analysis by NIR spectrometry, whereas a univariate calibration model was suitable for Raman spectrometry. Both techniques were limited to measurements in clear glass bottles as strong absorption/fluorescence occurred with coloured glass bottles. Bottle-to-bottle variations contributed the largest uncertainty to the measurements obtained for a 20% (v/v) ethanol solution in flat bottles: 2.3% R.S.D. for NIR spectrometry and 2.2% R.S.D. for Raman spectrometry. For 700 mL round bottles, which have stricter manufacturing tolerances on glass thickness, the bottle-to-bottle variability for Raman spectrometry was 1.4% R.S.D. When spirit samples with ethanol concentrations in the range 19.9-61.7% (v/v) were analysed, the precision (average R.S.D.) was 0.4 and 0.5% for NIR (flat bottles) and Raman (round bottles) spectrometries, respectively, and the average accuracy was 2.1 and 2.9%, respectively. When a calibration model constructed from NIR data acquired on 1 day was applied to data sets collected over a 15-day period, the average error was 3.9%. (c) 2005 Elsevier B.V. All rights reserved.
机译:已经研究了非侵入性NIR和拉曼光谱法测定乙醇含量的适用性。在200 mL(扁平)和700 mL(圆形)玻璃瓶中分析了威士忌酒,伏特加酒和含糖酒精饮料的样品。近红外光谱仪使用两次透射测量,主要限于分析样品中水和乙醇在大约10,000 cm(-1)处产生的信号。使用785 nm激光产生的拉曼测量结果基于乙醇在880 cm(-1)处发出的清晰信号。通过近红外光谱分析需要基于组合PCA-PLS算法的多变量校准模型,而单变量校准模型适合拉曼光谱。两种技术都限于在透明玻璃瓶中进行测量,因为有色玻璃瓶会发生强烈的吸收/荧光。瓶与瓶之间的差异为扁平瓶中20%(v / v)乙醇溶液的测量结果带来最大的不确定性:R.S.D。为2.3%。用于NIR光谱和2.2%R.S.D.用于拉曼光谱。对于700mL的圆瓶,其玻璃厚度的制造公差更严格,拉曼光谱法的瓶与瓶之间的差异为1.4%R.S.D.当分析酒精浓度在19.9-61.7%(v / v)范围内的酒精样品时,NIR(扁平瓶)和拉曼(圆瓶)光谱仪的精密度(平均RSD)分别为0.4和0.5%。平均准确度分别为2.1%和2.9%。将根据从1天获得的NIR数据构建的校准模型应用于在15天的时间内收集的数据集时,平均误差为3.9%。 (c)2005 Elsevier B.V.保留所有权利。

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