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oai:uvadoc.uva.es:10324/307102022-07-06T21:15:19Zcom_10324_1186com_10324_931com_10324_894col_10324_1404

00925njm 22002777a 4500 dc Rodríguez Méndez, María Luz author Ghasemi-Varnamkhasti, Mahdi author Mohtasebi, Seyed Saeid author Gómes, Adriano author Ugulino Araújo, Mario Cesar author Galvao, Roberto author 2012 This work proposes a method for monitoring the ageing of beer using near-infrared (NIR) spectroscopy and chemometrics classification tools. For this purpose, the Successive Projections Algorithm (SPA) is used to select spectral variables for construction of Linear Discriminant Analysis (LDA) classification models. A total of 83 alcoholic and non-alcoholic beer samples packaged in bottles and cans were examined. To simulate a long storage period, some of the samples were stored in an oven at 40 °C, in the dark, during intervals of 10 and 20 days. The NIR spectrum of these samples in the range 12,500–5405 cm−1 was then compared against those of the fresh samples. The results of a Principal Component Analysis (PCA) indicated that the alcoholic beer samples could be clearly discriminated with respect to ageing stage (fresh, 10-day or 20-day forced ageing). However, such discrimination was not apparent for the non-alcoholic samples. These findings were corroborated by a classification study using Soft Independent Modelling of Class Analogy (SIMCA). In contrast, the use of SPA-LDA provided good results for both types of beer (only one misclassified sample) by using a single wavenumber in each case, namely 5550 cm−1 for non-alcoholic samples and 7228 cm−1 for alcoholic samples. Talanta vol. 89 p. 286-291 0039-9140 http://uvadoc.uva.es/handle/10324/30710 10.1016/j.talanta.2011.12.030 Screening analysis of beer ageing using near infrared spectroscopy and the successive projections algorithm for variable selection