Fabiana Gutierrez
National University of the Littoral
AnalyteInitializationCalibration (statistics)Data miningMultivariate statisticsInterference (wave propagation)ChemistryAmbiguityExperimental dataRegression
2Publications
1H-index
2Citations
Publications 2
Newest
#1Fabricio A. Chiappini (National University of the Littoral)H-Index: 4
#2Fabiana Gutierrez (National University of the Littoral)H-Index: 1
Last. Alejandro C. Olivieri (National University of Rosario)H-Index: 62
view all 4 authors...
Abstract null null Multi-way calibration based on second-order data constitutes a revolutionary milestone for analytical applications. However, most classical chemometric models assume that these data fulfil the property of low rank bilinearity, which cannot be accomplished by all instrumental methods. Indeed, various techniques are able to generate non-bilinear data, which are all potentially useful for the development of novel second-order calibration methodologies. However, the achievement of...
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#1Fabricio A. Chiappini (CONICET: National Scientific and Technical Research Council)H-Index: 4
#2Fabiana Gutierrez (CONICET: National Scientific and Technical Research Council)H-Index: 1
Last. Alejandro C. Olivieri (National University of Rosario)H-Index: 62
view all 4 authors...
Abstract The possibility of building an interference-free calibration with first-order instrumental data with multivariate curve resolution-alternating least-squares (MCR-ALS) has been a recent topic of interest. When the protocols were successful, MCR-ALS proved to be suitable for the extraction of chemically meaningful information from first-order calibration datasets, even in the presence of unexpected species, i.e., constituents present in the test samples but absent in the calibration set. ...
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