Publications (190)

2023

  1. 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

2022

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

    Microchemical Journal, Vol. 181

  2. 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

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

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

2021

  1. Principal component regression that minimizes the sum of the squares of the relative errors: Application in multivariate calibration models

    Journal of Chemometrics, Vol. 35, Núm. 6

  2. Partial Least Squares model inversion in the chromatographic determination of triazines in water

    Microchemical Journal, Vol. 164, Núm. 105971, pp. 1-9

  3. Method operable design region obtained with a partial least squares model inversion in the determination of ten polycyclic aromatic hydrocarbons by liquid chromatography with fluorescence detection

    Journal of Chromatography A, Vol. 1657

  4. Handling Variables, via Inversion of Partial Least Squares Models for Class-Modelling, to Bring Defective Items to Non-Defective Ones

    Frontiers in Chemistry, Vol. 9

  5. HPLC-DAD and PARAFAC for the determination of bisphenol-A and another four bisphenols migrating from BPA-free polycarbonate glasses

    Microchemical Journal, Vol. 168

  6. 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

  7. 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

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

    Chemometrics and Intelligent Laboratory Systems, Vol. 217

2020

  1. Response surface methodology

    Comprehensive Chemometrics [Recurso electrónico]: chemical and biochemical data analysis. Volume 1 (Elsevier), pp. 287-326

  2. Quality of analytical measurements: univariate regression

    Comprehensive Chemometrics [Recurso electrónico]: chemical and biochemical data analysis. Volume 1 (Elsevier), pp. 71-105

  3. Quality of analytical measurements: statistical methods for internal validation

    Comprehensive Chemometrics [Recurso electrónico]: chemical and biochemical data analysis. Volume 1 (Elsevier), pp. 1-52

  4. Three-way PARAFAC decomposition of chromatographic data for the unequivocal identification and quantification of compounds in a regulatory framework

    Chemometrics and Intelligent Laboratory Systems, Vol. 200, Núm. 104003, pp. 1-14

  5. Residual spaces in latent variables model inversion and their impact in the design space for given quality characteristics

    Chemometrics and Intelligent Laboratory Systems, Vol. 203

  6. Procedure to build a signal transfer set, independent of the target analytes, between a portable fluorimeter based on light-emitting diodes and a master fluorimeter

    Analytica Chimica Acta, Vol. 1106, pp. 33-41

  7. Impact of the pretreatment of ATR-FTIR signals on the figures of merit when PLS is used

    Chemometrics and Intelligent Laboratory Systems, Vol. 201