Publicacións (225) Publicacións de MARIA DE LA CRUZ ORTIZ FERNANDEZ

2024

  1. Bread fermentation monitoring through NIR spectroscopy and PLS-DA. Determining the optimal fermentation point in bread doughs

    Journal of Food Engineering, Vol. 361

  2. Model inversion and three-way decompositions in the analytical quality by design strategy for the determination of phthalates BY HS-SPME-GC-MS

    Talanta, Vol. 267

  3. PLS class modelling using error correction output code matrices, entropy and NIR spectroscopy to detect deficiencies in pastry doughs

    Chemometrics and Intelligent Laboratory Systems, Vol. 246

  4. Suitability of multiway methods to ensure food safety

    Data Handling in Science and Technology (Elsevier Ltd), pp. 381-407

  5. Yoghurt standardization using real-time NIR prediction of milk fat and protein content

    Journal of Food Composition and Analysis, Vol. 128

2023

  1. A new efficient sample pooling procedure for qualitative screening analysis. Application to the detection of salmonella spp and nut allergen by PCR

    Microchemical Journal, Vol. 194

  2. A new multi-factor multi-objective strategy based on a factorial presence-absence design to determine polymer additive residues by means of head space-solid phase microextraction-gas chromatography-mass spectrometry

    Talanta, Vol. 253

  3. Analytical quality by design using a D-optimal design and parallel factor analysis in an automatic solid phase extraction system coupled to liquid chromatography. Determination of nine PAHs in coffee samples

    Chemometrics and Intelligent Laboratory Systems, Vol. 243

  4. Electromyography Gesture Model Classifier for Fault-Tolerant-Embedded Devices by Means of Partial Least Square Class Modelling Error Correcting Output Codes (PLS-ECOC)

    Algorithms, Vol. 16, Núm. 3

  5. Logical analysis of sample pooling for qualitative analytical testing

    Chemometrics and Intelligent Laboratory Systems, Vol. 240

  6. Partial Least Squares and Partial Least Squares-Discriminant Analysis to Detect and Quantify Adulterations in Olive Oil Using Optical Methods of Analysis. A Comparative Study between NIR and UV-Vis Spectroscopy

    International Conference on Transparent Optical Networks

  7. The inversion of multiresponse partial least squares models, a useful tool to improve analytical methods in the framework of analytical quality by design

    Analytica Chimica Acta, Vol. 1276

2022

  1. Integrated Design of a Supermarket Refrigeration System by Means of Experimental Design Adapted to Computational Problems

    Algorithms, Vol. 15, Núm. 11

  2. Metodología de diseño de experimentos en Trabajos Fin de Grado, Trabajos Fin de Máster y Prácticum

    Actualidad Analítica, Vol. 77, pp. 31-37

  3. Procedure to explore a ternary mixture diagram to find the appropriate gradient profile in liquid chromatography with fluorescence detector. Application to determine four primary aromatic amines in napkins

    Journal of Chromatography A, Vol. 1676

  4. Simultaneous class-modelling in chemometrics: A generalization of Partial Least Squares class modelling for more than two classes by using error correcting output code matrices

    Chemometrics and Intelligent Laboratory Systems, Vol. 227

  5. Univariate data analysis versus multivariate approach in liquid chromatography. An application for melamine migration from food contact materials

    Microchemical Journal, Vol. 181

2021

  1. A modified entropy-based performance criterion for class-modelling with multiple classes

    Chemometrics and Intelligent Laboratory Systems, Vol. 217

  2. A new approach based on inversion of a partial least squares model searching for a preset analytical target profile. Application to the determination of five bisphenols by liquid chromatography with diode array detector

    Analytica Chimica Acta, Vol. 1149, Núm. 338217, pp. 1-12

  3. Determination of polymer additive residues that migrate from coffee capsules by means of stir bar sorptive extraction-gas chromatography-mass spectrometry and PARAFAC decomposition

    Food Packaging and Shelf Life, Vol. 28