Fast pattern recognition of malted and unmalted beer: An investigation using FTIR, UV-VIS, fluorescence spectroscopy and chemometrics

被引:6
作者
Braga, Filipe Leoncio [1 ]
Braga, Soraia [1 ]
机构
[1] Inst Fed Espirito Santo IFES, Educ Basica Tecn & Tecnol EBTT, Cariacica, ES, Brazil
关键词
malted beer; unmalted beer; spectroscopy; Principal Component Analysis; self organizing maps; QUALITY-CONTROL;
D O I
10.17268/sci.agropecu.2021.039
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Beer production and consumption has increased worldwide during the past years. In this growing market, consumers have opted for products endowed with greater quality and diversity. In this respect, malted beers offer a more pleasant sensory experience. From a practical point of view, the high cost of production, when compared to the unmalted beer, passed on to the added value of the final product, then is common to encounter unmalted beers labeled as malted in the market. So, the characterization of beers into groups of malted and unmalted beers is of great importance for food control agencies. The present work reports a good alternative classification procedure that is fast, efficient, with no sample preparation using fluorescence spectroscopy associated with SOM (Self Organizing Map) and it is compared with the negative results (no pattern recognition) obtained with a FTIR and UV-VIS spectroscopy associated with PCA also performed with no sample preparation process.
引用
收藏
页码:361 / 367
页数:7
相关论文
共 29 条
[1]   A MATLAB toolbox for Principal Component Analysis and unsupervised exploration of data structure [J].
Ballabio, Davide .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2015, 149 :1-9
[2]   Cereal-based fermented foods and beverages [J].
Blandino, A ;
Al-Aseeri, ME ;
Pandiella, SS ;
Cantero, D ;
Webb, C .
FOOD RESEARCH INTERNATIONAL, 2003, 36 (06) :527-543
[3]   Economic Growth, Globalisation and Beer Consumption [J].
Colen, Liesbeth ;
Swinnen, Johan .
JOURNAL OF AGRICULTURAL ECONOMICS, 2016, 67 (01) :186-207
[4]  
Coman E., 2012, COMP EVALUATION MATL
[5]   Quantification of phenolic compounds in different types of crafts beers, worts, starting and spent ingredients by liquid chromatography-tandem mass spectrometry [J].
Cortese, Manuela ;
Gigliobianco, Maria Rosa ;
Peregrina, Dolores Vargas ;
Sagratini, Gianni ;
Censi, Roberta ;
Di Martino, Piera .
JOURNAL OF CHROMATOGRAPHY A, 2020, 1612
[6]   Chromatographic fingerprinting: An innovative approach for food 'identitation' and food authentication - A tutorial [J].
Cuadros-Rodriguez, Luis ;
Ruiz-Samblas, Cristina ;
Valverde-Som, Lucia ;
Perez-Castano, Estefania ;
Gonzalez-Casado, Antonio .
ANALYTICA CHIMICA ACTA, 2016, 909 :9-23
[7]   Robust clustering methods: A unified view [J].
Dave, RN ;
Krishnapuram, R .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1997, 5 (02) :270-293
[8]   Effects of moderate beer consumption on health and disease: A consensus document [J].
de Gaetano, G. ;
Costanzo, S. ;
Di Castelnuovo, A. ;
Badimon, L. ;
Bejko, D. ;
Alkerwi, A. ;
Chiva-Blanch, G. ;
Estruch, R. ;
La Vecchia, C. ;
Panico, S. ;
Pounis, G. ;
Sofi, F. ;
Stranges, S. ;
Trevisan, M. ;
Ursini, F. ;
Cerletti, C. ;
Donati, M. B. ;
Iacoviello, L. .
NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES, 2016, 26 (06) :443-467
[9]   Multivariate analysis of NMR and FTIR data as a potential tool for the quality control of beer [J].
Duarte, IF ;
Barros, A ;
Almeida, C ;
Spraul, M ;
Gil, AM .
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2004, 52 (05) :1031-1038
[10]  
Eaton J.W., GNU OCTAVE