Quantification of fructo-oligosaccharides based on the evaluation of oligomer ratios using an artificial neural network

Analytica Chimica Acta

Volumn 638, Issue 2, 2009, Pages 191-197

  Onofrejová, Lucia ^a   Farková, Marta ^a   Preisler, Jan ^a  

^a MASARYK UNIVERSITY   (Czech Republic)

Author keywords

Artificial neural networks (ANN); Fructo oligosaccharides; Internal standard; Matrix assisted laser desorption ionisation time of flight mass spectrometry (MALDI TOF MS); Quantification

Indexed keywords

ARTIFICIAL NEURAL NETWORKS (ANN); FRUCTO-OLIGOSACCHARIDES; INTERNAL STANDARD; MATRIX-ASSISTED LASER DESORPTION/IONISATION TIME-OF-FLIGHT MASS SPECTROMETRY (MALDI TOF MS); QUANTIFICATION;

APPLICATIONS; BACKPROPAGATION; DATA PROCESSING; ERRORS; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; ISOTOPES; LASERS; MASS SPECTROMETERS; MASS SPECTROMETRY; NEGATIVE IONS; OLIGOSACCHARIDES; ORGANIC COMPOUNDS; POLYMERS; SELF ASSEMBLY; SPECTRUM ANALYSIS; STANDARDS;

NEURAL NETWORKS;

FRUCTOSE OLIGOSACCHARIDE; INULIN; NYSTOSE; OLIGOMER; RAFTILOSE; UNCLASSIFIED DRUG;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; DATA ANALYSIS; INFORMATION PROCESSING; MATRIX ASSISTED LASER DESORPTION IONIZATION TIME OF FLIGHT MASS SPECTROMETRY; PRIORITY JOURNAL;

FRUCTOSE; INULIN; LASERS; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; OLIGOSACCHARIDES; REFERENCE STANDARDS; SPECTROMETRY, MASS, MATRIX-ASSISTED LASER DESORPTION-IONIZATION;

EID: 62649091790     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2009.02.034     Document Type: Article

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