Publicaciones (35) Publicaciones de JOSE LUIS PEREZ CALLE

2024

  1. Cromatografía de gases ultrarrápida acoplada a técnicas de machine learning para predecir el nivel de adulteración en miel de azahar y girasol

    XLV Jornadas de viticultura y enología de la Tierra de Barros ; V Congreso Agroalimentario de Extremadura: Almendralejo, 2 al 5 de mayo de 2023

  2. Cuantificación inteligente de adulteraciones en cacao en polvo mediante espectroscopía NIR

    XLV Jornadas de viticultura y enología de la Tierra de Barros ; V Congreso Agroalimentario de Extremadura: Almendralejo, 2 al 5 de mayo de 2023

  3. Detection and quantification of cocoa powder adulteration using Vis-NIR spectroscopy with chemometrics approach

    Food Chemistry, Vol. 449

  4. Development of a Novel HS-GC/MS Method Using the Total Ion Spectra Combined with Machine Learning for the Intelligent and Automatic Evaluation of Food-Grade Paraffin Wax Odor Level

    Foods, Vol. 13, Núm. 9

  5. Enhancing Competency-Based Education in Instrumental Analysis: A Novel Approach Using High-Performance Liquid Chromatography for Real-World Problem Solving

    Education Sciences, Vol. 14, Núm. 5

  6. Headspace gas chromatography with various sample preparation and chemometric approaches to improve discrimination of wild and feeding civet coffee

    IOP Conference Series: Earth and Environmental Science

  7. Machine learning-based approaches to Vis-NIR data for the automated characterization of petroleum wax blends

    Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, Vol. 310

  8. Optimization of HS-SPME combined with GC–MS for key marker volatile organic compound analysis in Kappaphycus alvarezii with a chemometric approach

    Journal of Food Measurement and Characterization, Vol. 18, Núm. 5, pp. 3510-3526

2023

  1. A Rapid Method for Authentication of Macroalgae Based on Vis-NIR Spectroscopy Data Combined with Chemometrics Approach

    Water (Switzerland), Vol. 15, Núm. 1

  2. Caracterización y discriminación de parafinas de uso agroalimentario mediante espectroscopia Vis-NIR y aprendizaje automático

    XLIV Jornadas de viticultura y enología de la Tierra de Barros ; IV Congreso Agroalimentario de Extremadura: Almendralejo, 3 al 6 de mayo de2022

  3. Detección automatizada de adulteraciones en zumos de fruta mediante HS-GC-IMS

    XLIV Jornadas de viticultura y enología de la Tierra de Barros ; IV Congreso Agroalimentario de Extremadura: Almendralejo, 3 al 6 de mayo de2022

  4. Enhanced Differentiation of Wild and Feeding Civet Coffee Using Near-Infrared Spectroscopy with Various Sample Pretreatments and Chemometric Approaches

    Horticulturae, Vol. 9, Núm. 7

  5. Novel Method Based on Ion Mobility Spectrometry Combined with Machine Learning for the Discrimination of Fruit Juices

    Foods, Vol. 12, Núm. 13

  6. Rapid Classification of Petroleum Waxes: A Vis-NIR Spectroscopy and Machine Learning Approach

    Foods, Vol. 12, Núm. 18

  7. Rapid and Automated Method for Detecting and Quantifying Adulterations in High-Quality Honey Using Vis-NIRs in Combination with Machine Learning

    Foods, Vol. 12, Núm. 13

2022

  1. A RAPID METHOD BASED ON VIS-NIRS DATA COMBINED WITHCHEMOMETRICS APPROACH FOR AUTHENTICATION OF MACROALGAE

    XVII REUNIÓN DEL GRUPO REGIONAL ANDALUZ DE LA SOCIEDAD ESPAÑOLA DE QUÍMICA ANALÍTICA

  2. Automated detection and quantification of adulteration in fruit juices using FT-IR

    FORENSICS 2022 - 3rd International Caparica Conference in Translational Forensics 2022

  3. CARACTERIZACIÓN AUTOMÁTICA E INTELIGENTE DE PARAFINAS AGROALIMENTARIAS MEDIANTE APLICACIÓN DE ESPECTROSCOPÍA UV-VIS

    XVII REUNIÓN DEL GRUPO REGIONAL ANDALUZ DE LA SOCIEDAD ESPAÑOLA DE QUÍMICA ANALÍTICA

  4. Caracterización y discriminación de parafinas de uso agroalimentario mediante espectroscopía Vis-NIR y aprendizaje automático

    XLIV JORNADAS DE VITICULTURA Y ENOLOGÍA DE LA TIERRA DE BARROS (Centro Universitario Santa Ana), pp. 483-502

  5. Comparison of different processing approaches by SVM and RF on HS-MS eNose and NIR Spectrometry data for the discrimination of gasoline samples

    Microchemical Journal, Vol. 172