Combination of mid- and near-infrared spectroscopy for the determination of the quality properties of beers.
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Miguel de la Guardia | Salvador Garrigues | S. Garrigues | M. de la Guardia | F. Iñón | Fernando A Iñón
[1] Johanna Smeyers-Verbeke,et al. Handbook of Chemometrics and Qualimetrics: Part A , 1997 .
[2] F. Argüeso,et al. Application of neural networks for controlling and predicting quality parameters in beer fermentation , 1995, Journal of Industrial Microbiology.
[3] J. Hennessey,et al. Strategy for streamlined release identity testing of chromatography media. , 2004, The Analyst.
[4] Alejandro C. Olivieri,et al. MVC1: an integrated MatLab toolbox for first-order multivariate calibration , 2004 .
[5] E. V. Thomas,et al. Partial least-squares methods for spectral analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative information , 1988 .
[6] Rimvydas Simutis,et al. Fuzzy-aided neural network for real-time state estimation and process prediction in the alcohol formation step of production-scale beer brewing , 1993 .
[7] L. Rodriguez-Saona,et al. Rapid detection and identification of bacterial strains by Fourier transform near-infrared spectroscopy. , 2001, Journal of agricultural and food chemistry.
[8] Antonio Delgado,et al. Observation and control of the beer fermentation using cognitive methods , 1953 .
[9] S. Garrigues,et al. Development of a PLS based method for determination of the quality of beers by use of NIR: spectral ranges and sample-introduction considerations , 2005, Analytical and bioanalytical chemistry.
[10] Romà Tauler,et al. Modeling temperature-dependent protein structural transitions by combined near-IR and mid-IR spectroscopies and multivariate curve resolution. , 2003, Analytical chemistry.
[11] P J de Groot,et al. Effect on the Partial Least-Squares Prediction of Yarn Properties Combining Raman and Infrared Measurements and Applying Wavelength Selection , 2003, Applied spectroscopy.
[12] L. Weyer. Near-Infrared Spectroscopy of Organic Substances , 1985 .
[13] Á. Alcázar,et al. Multivariate characterisation of beers according to their mineral content. , 2002, Talanta.
[14] F Despagne,et al. Neural networks in multivariate calibration. , 1998, The Analyst.
[15] Bruce R. Kowalski,et al. Propagation of measurement errors for the validation of predictions obtained by principal component regression and partial least squares , 1997 .
[16] Alan H. Varnam,et al. Bebidas: tecnología, química y microbiología , 1996 .
[17] Jerome J. Workman,et al. Interpretive Spectroscopy for Near Infrared , 1996 .
[18] A. Cavinato,et al. Discrimination of intact and injured Listeria monocytogenes by Fourier transform infrared spectroscopy and principal component analysis. , 2004, Journal of agricultural and food chemistry.
[19] E. Schaller,et al. Analytical methods for the determination of the geographic origin of Emmental cheese: mid- and near-infrared spectroscopy , 2003 .
[20] D. Himmelsbach,et al. Two-Dimensional Vibrational Spectroscopy II: Correlation of the Absorptions of Lignins in the Mid- and Near-Infrared , 1993 .
[21] Tsuyoshi Miura,et al. Studies on Spectra/Structure Correlations in Near-Infrared Spectra of Proteins and Polypeptides. Part I: A Marker Band for Hydrogen Bonds , 1994 .
[22] Antonio Delgado,et al. Dynamic neural networks as a tool for the online optimization of industrial fermentation , 2002 .
[23] D. Himmelsbach,et al. Two-Dimensional Vibration Spectroscopy: Correlation of Mid- and Near-Infrared Regions , 1992 .
[24] A. Cheruy,et al. Predictive modelling of brewing fermentation: from knowledge-based to black-box models , 2001 .
[25] Alejandro C. Olivieri,et al. A simple approach to uncertainty propagation in preprocessed multivariate calibration , 2002 .
[26] Miguel de la Guardia,et al. Determination of quality parameters of beers by the use of attenuated total reflectance-Fourier transform infrared spectroscopy. , 2006, Talanta.