ANA MARÍA JIMÉNEZ CARVELO-rekin lankidetzan egindako argitalpenak (40)

2024

  1. Evaluating the whiteness of spectroscopy-based non-destructive analytical methods – Application to food analytical control

    TrAC - Trends in Analytical Chemistry, Vol. 170

2023

  1. Chemometric enhancement for blind signal resolution from non-invasive spatially offset Raman spectra

    Chemometrics and Intelligent Laboratory Systems, Vol. 243

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

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

  3. QbD/PAT—State of the Art of Multivariate Methodologies in Food and Food-Related Biotech Industries

    Food Engineering Reviews, Vol. 15, Núm. 1, pp. 24-40

  4. Recent Approaches for Analytical Characterization of Phospholipids in Food Matrices. Is the Phospholipid Fraction Exploited in the Authentication of Food Lipids?

    Critical Reviews in Analytical Chemistry

  5. The potential of the spatially offset Raman spectroscopy (SORS) for implementing rapid and non-invasive in-situ authentication methods of plastic-packaged commodity foods – Application to sliced cheeses

    Food Control, Vol. 146

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. Machine learning techniques in food processing

    Current Developments in Biotechnology and Bioengineering: Advances in Food Engineering (Elsevier), pp. 333-351

  5. Non-targeted spatially offset Raman spectroscopy-based vanguard analytical method to authenticate spirits: White Tequilas as a case study

    Microchemical Journal, Vol. 183

  6. Rapid and non-destructive spatially offset Raman spectroscopic analysis of packaged margarines and fat-spread products

    Microchemical Journal, Vol. 178

  7. The chromatographic similarity profile – An innovative methodology to detect fraudulent blends of virgin olive oils

    Journal of Chromatography A, Vol. 1679

2021

  1. A sensor-based methodology to differentiate pure and mixed white tequilas based on fused infrared spectra and multivariate data treatment

    Chemosensors, Vol. 9, Núm. 3, pp. 1-13

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

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

  3. Chromatographic fingerprinting by comprehensive two-dimensional chromatography: Fundamentals and tools

    TrAC - Trends in Analytical Chemistry, Vol. 134

  4. Chromatographic fingerprinting enables effective discrimination and identitation of high-quality italian extra-virgin olive oils

    Journal of Agricultural and Food Chemistry, Vol. 69, Núm. 31, pp. 8874-8889

  5. Deep (offset) non-invasive Raman spectroscopy for the evaluation of food and beverages – A review

    LWT, Vol. 149

  6. Machine learning-based chemometric methods for quality and authentication of milk and dairy products

    Dairy Foods: Processing, Quality, and Analytical Techniques (Elsevier), pp. 261-280

  7. Multivariate approach for the authentication of vanilla using infrared and Raman spectroscopy

    Food Research International, Vol. 141