Profiles


Cristian Xavier Rojas

Food Engineering

Inglés

Av. 24 de Mayo 7-77 y Hernán Malo

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crojasvilla@uazuay.edu.ec

Cristian Xavier Rojas

Education


  • Doctor de la Facultad de Ciencias Exactas Area Quimica, Universidad Nacional de la Plata, Argentina, 2018
  • Diploma Superior en Analisis de Datos de Sistemas Complejos, Universidad Del Azuay, Ecuador, 2008
  • Ingeniero en Alimentos, Universidad Del Azuay, Ecuador, 2004

Cristian Xavier Rojas

Food Engineering

crojasvilla@uazuay.edu.ec


Expertise and Research Interests

Quimiometría y relaciones cuantitativas estructura-actividad/propiedad (QSAR/QSPR)

Publications

  • Introducción a la Tecnología de Conservas Vegetales (2019)

  • Dairy cream response in instrumental texture evaluation processed by multivariate analysis. Chemometrics and Intelligent Laboratory Systems, pág: 258-263 (2009)
    Link: https://doi.org/10.1016/j.chemolab.2009.02.011

  • Análisis de conglomerados del turismo receptivo del Ecuador. Una visión multivariable (2014)

  • Foodinformatics: Quantitative structure-property relationship modeling of volatile organic compounds in peppers. Journal of Food Science and Technology, pág: 1-12 (2019)
    Link: https://doi.org/10.1111/1750-3841.14477

  • Conformation-independent QSPR study on water solubility of pesticides. Ecotoxicology and Environmental Safety, pág: 47-53 (2019)
    Link: https://doi.org/10.1016/j.ecoenv.2018.12.056

  • Chemometrics Applications and Research: QSAR in Medicinal Chemistry (2016)

  • Classification-based QSAR models for the prediction of the bioactivity of ACE-inhibitor peptides. Protein & Peptide Letters, pág: 1-9 (2018)
    Link: https://doi.org/10.2174/0929866525666181114145658

  • Quantitative structure-property relationship analysis for the retention index of fragrance-like compounds on a polar stationary phase. Journal of Chromatography A, pág: 277–288 (2015)
    Link: https://doi.org/10.1016/j.chroma.2015.10.028

  • QSPR analysis for the retention index of flavors and fragrances on a OV-101 column. Chemometrics and Intelligent Laboratory Systems, pág: 126–132 (2015)
    Link: https://doi.org/10.1016/j.chemolab.2014.09.020

  • A new QSPR study on relative sweetness. International Journal of Quantitative Structure-Property Relationships (IJQSPR), pág: 76-90 (2016)
    Link: https://doi.org/10.4018/IJQSPR.2016010104

  • Quantitative structure-activity relationships to predict sweet and non-sweet tastes. Theoretical Chemistry Accounts, pág: 1-13 (2016)
    Link: https://doi.org/10.1007/s00214-016-1812-1

  • A QSTR-based expert system to predict sweetness of molecules. Frontiers in Chemistry, pág: 1-12 (2017)
    Link: https://doi.org/10.3389/fchem.2017.00053

  • Quantitative structure–property relationships for predicting the retention indices of fragrances on stationary phases of different polarity. Journal of the Argentine Chemical Society, pág: 173-193 (2017)
    Link: https://doi.org/10.1016/j.chroma.2015.10.028

  • A retention index-based QSPR model for the quality control of rice. Journal of Cereal Science, pág: 303-310 (2018)
    Link: https://doi.org/10.1016/j.jcs.2017.11.004

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