Argitalpenak (14) SANDRA MARTÍN TORRES argitalpenak

2023

  1. A Comparison of the Stability of Refined Edible Vegetable Oils under Frying Conditions: Multivariate Fingerprinting Approach

    Foods, Vol. 12, Núm. 3

  2. Instrument-Agnostizing Methodology for Liquid Chromatography-Mass Spectrometry Systems

    Methods in molecular biology (Clifton, N.J.), Vol. 2571, pp. 257-269

  3. Multivariate stability monitoring and shelf life models of deterioration of vegetable oils under real time ageing conditions – Extra virgin olive oil as a main case of study

    Food Packaging and Shelf Life, Vol. 37

2022

  1. Applications of multivariate data analysis in shelf life studies of edible vegetal oils – A review of the few past years

    Food Packaging and Shelf Life, Vol. 31

  2. Applying an instrument-agnostizing methodology for the standardization of pesticide quantitation using different liquid chromatography-mass spectrometry platforms: A case study

    Journal of Chromatography A, Vol. 1664

  3. Instrument-agnostic multivariate models from normal phase liquid chromatographic fingerprinting. A case study: Authentication of olive oil

    Food Control, Vol. 137

  4. Monitoring the Shelf Life of Refined Vegetable Oils under Market Storage Conditions—A Kinetic Chemofoodmetric Approach

    Molecules, Vol. 27, Núm. 19

2021

  1. Chromatographic Fingerprinting and Food Identity/Quality: Potentials and Challenges

    Journal of Agricultural and Food Chemistry, Vol. 69, Núm. 48, pp. 14428-14434

  2. PLS-DA vs sparse PLS-DA in food traceability. A case study: Authentication of avocado samples

    Talanta, Vol. 224

  3. Standardization of chromatographic signals – Part I: Towards obtaining instrument-agnostic fingerprints in gas chromatography

    Journal of Chromatography A, Vol. 1641

  4. Standardization of chromatographic signals – Part II: Expanding instrument-agnostic fingerprints to reverse phase liquid chromatography

    Journal of Chromatography A, Vol. 1641

2020

  1. Authentication of the geographical origin and the botanical variety of avocados using liquid chromatography fingerprinting and deep learning methods

    Chemometrics and Intelligent Laboratory Systems, Vol. 199

  2. Nontargeted fingerprinting approaches

    Food Authentication and Traceability (Elsevier), pp. 163-193

2019

  1. Differentiation of avocados according to their botanical variety using liquid chromatographic fingerprinting and multivariate classification tree

    Journal of the Science of Food and Agriculture, Vol. 99, Núm. 11, pp. 4932-4941