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Original Articles

Multivariate Analysis of Routine Beer Analysis Results

Análisis Multivariante de Resultados Rutinarios de Análisis de Cerveza

Pages 113-120 | Received 20 Sep 2004, Accepted 20 Dec 2004, Published online: 01 Feb 2018

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Karl J. Siebert. (2018) An Eclectic Collection. Journal of the American Society of Brewing Chemists 76:2, pages 71-85.
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Nattane Luíza da Costa, Maxwell Severo da Costa & Rommel Barbosa. (2020) A Review on the Application of Chemometrics and Machine Learning Algorithms to Evaluate Beer Authentication. Food Analytical Methods 14:1, pages 136-155.
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J. Tan, R. Li, Z.-T. Jiang, Y. Zhang, Y.-M. Hou, Y.-R. Wang, X. Wu & L. Gong. (2016) Geographical classification of Chinese Cabernet Sauvignon wines by data fusion of ultraviolet-visible and synchronous fluorescence spectroscopies: the combined use of multiple wavelength differences. Australian Journal of Grape and Wine Research 22:3, pages 358-365.
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Jin Tan, Rong Li & Zi-Tao Jiang. (2015) Chemometric classification of Chinese lager beers according to manufacturer based on data fusion of fluorescence, UV and visible spectroscopies. Food Chemistry 184, pages 30-36.
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Ivan Salmerón, Raquel Rozada, Keith Thomas, Enrique Ortega-Rivas & Severino S Pandiella. (2013) Sensory characteristics and volatile composition of a cereal beverage fermented with Bifidobacterium breve NCIMB 702257 . Food Science and Technology International 20:3, pages 205-213.
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Keith Thomas. (2006) British beers: a survey of cask ale character. British Food Journal 108:10, pages 849-858.
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