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Food Chemistry
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October 22, 2016
Investigation by response surface methodology of the combined effect of pH and composition of water-methanol mixtures on the stability of curcuminoids
Angelo Antonio D'Archivio, Maria Anna Maggi
Food Chemistry
|
October 22, 2016
Geographical identification of saffron (Crocus sativus L.) by linear discriminant analysis applied to the UV-visible spectra of aqueous extracts
Angelo Antonio D'Archivio, Maria Anna Maggi
Molecules (Basel, Switzerland)
|
December 2, 2020
Saffron: Chemical Composition and Neuroprotective Activity
Maria Anna Maggi, Silvia Bisti, Cristiana Picco
Journal of Chromatography. A
|
June 19, 2014
Cross-column prediction of gas-chromatographic retention indices of saturated esters
Angelo Antonio D'Archivio, Maria Anna Maggi, Fabrizio Ruggieri
Analytical and Bioanalytical Chemistry
|
July 5, 2012
Quantitative structure/eluent-retention relationships in reversed-phase high-performance liquid chromatography based on the solvatochromic method
Angelo Antonio D'Archivio, Maria Anna Maggi, Fabrizio Ruggieri
Journal of Separation Science
|
January 23, 2010
Multiple-column RP-HPLC retention modelling based on solvatochromic or theoretical solute descriptors
Angelo Antonio D'Archivio, Maria Anna Maggi, Fabrizio Ruggieri
Analytica Chimica Acta
|
March 19, 2011
Multi-variable retention modelling in reversed-phase high-performance liquid chromatography based on the solvation method: a comparison between curvilinear and artificial neural network regression
Angelo Antonio D'Archivio, Maria Anna Maggi, Fabrizio Ruggieri
Analytical and Bioanalytical Chemistry
|
November 15, 2014
Artificial neural network prediction of multilinear gradient retention in reversed-phase HPLC: comprehensive QSRR-based models combining categorical or structural solute descriptors and gradient profile parameters
Angelo Antonio D'Archivio, Maria Anna Maggi, Fabrizio Ruggieri
Journal of Pharmaceutical and Biomedical Analysis
|
March 14, 2015
Quantitative structure-retention relationships of cannabimimetic aminoalkilindole derivatives and their metabolites
Angelo Antonio D'Archivio, Maria Anna Maggi, Fabrizio Ruggieri
Journal of Separation Science
|
May 17, 2014
Prediction of the retention of s-triazines in reversed-phase high-performance liquid chromatography under linear gradient-elution conditions
Angelo Antonio D'Archivio, Maria Anna Maggi, Fabrizio Ruggieri
Page
of 5
Search research articles
Search
Showing results (1-10 of 41) with videos related to
Sort By:
Page
of 5
Food Chemistry
|
October 22, 2016
Investigation by response surface methodology of the combined effect of pH and composition of water-methanol mixtures on the stability of curcuminoids
Angelo Antonio D'Archivio, Maria Anna Maggi
Food Chemistry
|
October 22, 2016
Geographical identification of saffron (Crocus sativus L.) by linear discriminant analysis applied to the UV-visible spectra of aqueous extracts
Angelo Antonio D'Archivio, Maria Anna Maggi
Molecules (Basel, Switzerland)
|
December 2, 2020
Saffron: Chemical Composition and Neuroprotective Activity
Maria Anna Maggi, Silvia Bisti, Cristiana Picco
Journal of Chromatography. A
|
June 19, 2014
Cross-column prediction of gas-chromatographic retention indices of saturated esters
Angelo Antonio D'Archivio, Maria Anna Maggi, Fabrizio Ruggieri
Analytical and Bioanalytical Chemistry
|
July 5, 2012
Quantitative structure/eluent-retention relationships in reversed-phase high-performance liquid chromatography based on the solvatochromic method
Angelo Antonio D'Archivio, Maria Anna Maggi, Fabrizio Ruggieri
Journal of Separation Science
|
January 23, 2010
Multiple-column RP-HPLC retention modelling based on solvatochromic or theoretical solute descriptors
Angelo Antonio D'Archivio, Maria Anna Maggi, Fabrizio Ruggieri
Analytica Chimica Acta
|
March 19, 2011
Multi-variable retention modelling in reversed-phase high-performance liquid chromatography based on the solvation method: a comparison between curvilinear and artificial neural network regression
Angelo Antonio D'Archivio, Maria Anna Maggi, Fabrizio Ruggieri
Analytical and Bioanalytical Chemistry
|
November 15, 2014
Artificial neural network prediction of multilinear gradient retention in reversed-phase HPLC: comprehensive QSRR-based models combining categorical or structural solute descriptors and gradient profile parameters
Angelo Antonio D'Archivio, Maria Anna Maggi, Fabrizio Ruggieri
Journal of Pharmaceutical and Biomedical Analysis
|
March 14, 2015
Quantitative structure-retention relationships of cannabimimetic aminoalkilindole derivatives and their metabolites
Angelo Antonio D'Archivio, Maria Anna Maggi, Fabrizio Ruggieri
Journal of Separation Science
|
May 17, 2014
Prediction of the retention of s-triazines in reversed-phase high-performance liquid chromatography under linear gradient-elution conditions
Angelo Antonio D'Archivio, Maria Anna Maggi, Fabrizio Ruggieri
Page
of 5