Screening analysis of beer ageing using near infrared spectroscopy and the Successive Projections Algorithm for variable selection.

Autor: Ghasemi-Varnamkhasti M; Inorganic Chemistry Department, E.T.S Ingenieros Industriales, University of Valladolid, Valladolid, Spain. ghasemymahdi@gmail.com, Mohtasebi SS, Rodriguez-Mendez ML, Gomes AA, Araújo MC, Galvão RK
Jazyk: angličtina
Zdroj: Talanta [Talanta] 2012 Jan 30; Vol. 89, pp. 286-91. Date of Electronic Publication: 2011 Dec 19.
DOI: 10.1016/j.talanta.2011.12.030
Abstrakt: 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.
(Copyright © 2011 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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