Academic literature on the topic 'Beer sensory evaluation'

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Journal articles on the topic "Beer sensory evaluation"

1

Nuyen Ti Tu, Hong, H. Valentová, J. Velíšek, J. Čepička, J. Pokorný, and F. Pudil. "Evaluation of beer quality by sensory analysis." Czech Journal of Food Sciences 18, No. 4 (2000): 137–42. http://dx.doi.org/10.17221/8332-cjfs.

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The flavour of pasteurised and stored beer was evaluated by a panel of 12 assessors. The sensory analysis consisted of combined hedonic evaluation and sensory profiling using unstructured graphical scales and 31 descriptors. The obtained results were evaluated by multivariate statistical methods (principal components analysis and linear discrimination analysis) which allow visualisation of relations between individual descriptors and samples and enable classification of samples to groups according to pasteurisation intensity and storage time.
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2

FURUSHO, Shigeki. "Sensory Evaluation of Beer." JOURNAL OF THE BREWING SOCIETY OF JAPAN 97, no. 3 (2002): 178–87. http://dx.doi.org/10.6013/jbrewsocjapan1988.97.178.

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3

ISHIBASHI, Tokuo. "Sensory Evaluation of Beer." JOURNAL OF THE BREWING SOCIETY OF JAPAN 84, no. 6 (1989): 360–66. http://dx.doi.org/10.6013/jbrewsocjapan1988.84.360.

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4

Nguyen Thi Thu, Huong, H. Valentová, J. Velíšek, J. Čepička, J. Pokorný, and F. Pudil. "Evaluation of beer by sensory and gas chromatography analysis." Czech Journal of Food Sciences 18, No. 6 (2000): 245–49. http://dx.doi.org/10.17221/8349-cjfs.

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5

Langstaff, Susan A., J. X. Guinard, and M. J. Lewis. "Sensory Evaluation of the Mouthfeel of Beer." Journal of the American Society of Brewing Chemists 49, no. 2 (1991): 54–59. http://dx.doi.org/10.1094/asbcj-49-0054.

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6

Jeney-Nagymate, Emese, and Peter Fodor. "Sensory Evaluation of Beer Enriched with Antioxidant Vitamins." Journal of the American Society of Brewing Chemists 66, no. 1 (2008): 20–28. http://dx.doi.org/10.1094/asbcj-2007-1116-01.

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7

Cinkmanis, Ingmars, Evita Straumite, and Ilze Cakste. "Alus dzērienu sensorais novērtējums Sensory Evaluation of Beer Drinks." Proceedings of the Latvia University of Agriculture 31, no. 1 (2014): 25–32. http://dx.doi.org/10.2478/plua-2014-0003.

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8

Vázquez-Araújo, Laura, Debbie Parker, and Eleanor Woods. "Comparison of Temporal-Sensory Methods for Beer Flavor Evaluation." Journal of Sensory Studies 28, no. 5 (2013): 387–95. http://dx.doi.org/10.1111/joss.12064.

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9

Langstaff, Susan A., J. X. Guinard, and M. J. Lewis. "INSTRUMENTAL EVALUATION OF THE MOUTHFEEL OF BEER AND CORRELATION WITH SENSORY EVALUATION." Journal of the Institute of Brewing 97, no. 6 (1991): 427–33. http://dx.doi.org/10.1002/j.2050-0416.1991.tb01081.x.

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10

Lu, Nhat-Vinh, Trong-Nhan Vuong, and Duy-Tai Dinh. "Combining Correlation-Based Feature and Machine Learning for Sensory Evaluation of Saigon Beer." International Journal of Knowledge and Systems Science 11, no. 2 (2020): 71–85. http://dx.doi.org/10.4018/ijkss.2020040104.

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Sensory evaluation plays an important role in the food and consumer goods industry. In recent years, the application of machine learning techniques to support food sensory evaluation has become popular. Many different machine learning methods have been applied and produced positive results in this field. In this article, the authors propose a new method to support sensory evaluation on multiple criteria based on the use of a correlation-based feature selection technique, combined with machine learning methods such as linear regression, multilayer perceptron, support vector machine, and random
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