Cristian Xavier Rojas Villa

Publications

• ChemTastesDB: A Curated Database of Molecular Tastants. Food Chemistry: Molecular Science, pág: 100090 (2022)
  Link: https://doi.org/10.1016/j.fochms.2022.100090

• Quantitative Structure-Property Relationship for the Retention Index of Volatile and Semi-volatile Compounds of Coffee. Chemistry Proceedings, pág: 48 (2022)
  Link: https://doi.org/10.3390/ecsoc-25-11731

• Química Computacional de los Alimentos: Relaciones Cuantitativas Estructura-Actividad/Propiedad (QSAR/QSPR) (2021)

• Foodinformatic prediction of the retention time of pesticide residues detected in fruits and vegetables using UHPLC/ESI Q-Orbitrap. Food Chemistry, pág: 128354 (2021)
  Link: https://doi.org/10.1016/j.foodchem.2020.128354

• 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

• Introducción a la Tecnología de Conservas Vegetales (2019)

• 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

• 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 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 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-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 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

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

• 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

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

• 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