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Near infrared spectroscopic analysis of single malt Scotch whisky on an optofluidic chip

机译:近红外光谱分析Opt流体芯片上的单麦芽苏格兰威士忌分析

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摘要

Standardization and quality monitoring of alcoholic beverages is an important issue in the liquor production industry. Various spectroscopic techniques have proved useful for tackling this problem. An ideal sensing device for alcoholic beverages should be able to detect the quality of alcohol with a small amount of sample at a low acquisition time using a portable and easy to use device. We propose the use of near infra-red spectroscopy on an optofluidic chip for quality monitoring of single malt Scotch whisky. This is chip upon which we have previously realized waveguide confined Raman spectroscopy. Analysis on this alignment-free, portable chip may be performed in only 2 seconds with a sample volume of only 20 µl. Using a partial least square (PLS) calibration, we demonstrate that the alcohol content in the beverage may be predicted to within a 1% prediction error. Principal component analysis (PCA) was employed for successful classification of whiskies based upon their age, type and cask. The prospect of implementing an optofluidic analogue of a conventional fiber based spectroscopic probe allows a rapid analysis of alcoholic beverages with dramatically reduced sample volumes.
机译:酒精饮料的标准化和质量监测是酒类生产行业的重要问题。已经证明了各种光谱技术可用于解决这个问题。用于酒精饮料的理想感测装置应该能够在低采集时间下检测少量样品的醇质量,使用便携式且易于使用的装置。我们建议在Optovic芯片上使用近红外光谱,以进行单一麦芽苏格兰威士忌的质量监测。这是我们之前实现了波导被限制拉曼光谱的芯片。可以在仅2秒内进行对齐的无便携式芯片的分析,其样本体积仅为20μL。使用局部最小二乘(PLS)校准,我们证明饮料中的酒精含量可以预测到1%的预测误差内。主要成分分析(PCA)用于基于年龄,类型和桶的威士忌成功分类。实施常规纤维的光谱探针的优化样品的实施前景允许快速分析醇饮料,随着样的样品量大幅减少。

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