JOSE MANUEL
RODRIGUEZ NOGALES
PROFESORES TITULARES DE UNIVERSIDAD
Universidad de Alcalá
Alcalá de Henares, EspañaPublicacions en col·laboració amb investigadors/es de Universidad de Alcalá (10)
2019
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Testing SensoGraph, a geometric approach for fast sensory evaluation
Food Quality and Preference, Vol. 72, pp. 1-9
2010
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Improved methodology for the characterisation of transgenic Bt-11 maize cultivars using RP-HPLC profiles of albumin, globulin, prolamin, and glutelin protein fractions and chemometric analysis
Food Chemistry, Vol. 120, Núm. 4, pp. 1229-1237
2009
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Ultrarapid quantitation of maize proteins by perfusion and monolithic reversed-phase high-performance liquid chromatography
Journal of Agricultural and Food Chemistry, Vol. 57, Núm. 8, pp. 3014-3021
2008
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Estimation of the percentage of transgenic Bt maize in maize flour mixtures using perfusion and monolithic reversed-phase high-performance liquid chromatography and chemometric tools
Food Chemistry, Vol. 111, Núm. 2, pp. 483-489
2007
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Characterization of protein fractions from Bt-transgenic and non-transgenic maize varieties using perfusion and monolithic RP-HPLC. Maize differentiation by multivariate analysis
Journal of Agricultural and Food Chemistry
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Experimental design and response surface modeling applied for the optimisation of pectin hydrolysis by enzymes from A. niger CECT 2088
Food Chemistry, Vol. 101, Núm. 2, pp. 634-642
2006
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Analysis of European and North American maize inbred and hybrid lines by monolithic and perfusion reversed-phase high-performance chromatography and multivariate analysis
Journal of Agricultural and Food Chemistry, Vol. 54, Núm. 23, pp. 8702-8709
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Development of a perfusion reversed-phase high performance liquid chromatography method for the characterisation of maize products using multivariate analysis
Journal of Chromatography A, Vol. 1104, Núm. 1-2, pp. 91-99
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High-performance liquid chromatography and capillary electrophoresis for the analysis of maize proteins
Journal of Separation Science, Vol. 29, Núm. 2, pp. 197-210
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Monolithic supports for the characterization of commercial maize products based on their chromatographic profile. Application of experimental design and classification techniques
Journal of Agricultural and Food Chemistry, Vol. 54, Núm. 4, pp. 1173-1179