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HOW TO USE THE NIR SPECTROSCOPY IN A BREWERY LABORATORY

机译：在酿酒厂实验室中如何使用近红外光谱

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The Near Infrared Spectroscopy (NIR) belongs to the group of molecular vibration spectroscopy. It is a rapid instrumental method enabling the forecast of important qualitative indicators of raw materials as well as intermediate products during beer production. In the article, attention was aimed at malt extract, malt proteins, soluble nitrogen in congress wort, relative extract at 45 ℃ and Kolbach index. The samples used were produced at the micromalting plant of the Research Institute of Brewing and Malting, Pic. The spectra in the NIR range were measured by the MPA apparatus (Multi Purpose Analyzer) of the company Bruker Optics, with installed OPUS 5.5 chemometric software, by means of which mathematical calibration models were made. The models were verified by internal validation, validation graphs were made, all this was followed by external validation, first with the samples from the micromalting plant, then with the samples delivered by commercial malting plants. The results were assessed on a statistical basis. For ensuring the control of models, the NIR spectroscopy represents a suitable method especially in such cases where a high number of real-time analyses without a long delay between sampling and the result of the analysis are required. From the measured spectrum, it is possible to predict more characteristics at a time. A worse precision can be compensated here by the speed of the analysis and absence of treatment of solid or liquid samples.
机译：近红外光谱法（NIR）属于分子振动光谱法。它是一种快速的仪器方法，可以预测啤酒生产过程中原材料以及中间产品的重要定性指标。在本文中，注意力集中在麦芽提取物，麦芽蛋白，国会麦芽汁中的可溶性氮，45℃下的相对提取物和柯尔巴赫指数。所使用的样品是在美国酿造和麦芽研究所的微麦芽工厂生产的。通过安装有OPUS 5.5化学计量软件的Bruker Optics公司的MPA设备（多功能分析仪）测量NIR范围内的光谱，并以此建立数学校准模型。通过内部验证来验证模型，制作验证图，然后通过外部验证来进行所有验证，首先是使用来自微麦芽厂的样品，然后使用商业麦芽厂提供的样品。在统计学基础上评估结果。为了确保模型的控制，NIR光谱法是一种合适的方法，特别是在需要大量实时分析且采样和分析结果之间没有长时间延迟的情况下。根据测得的光谱，可以一次预测更多的特性。在此，较差的精度可以通过分析速度和不对固体或液体样品进行处理来补偿。

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