Relation Between Near-Infrared Spectroscopy and Physicochemical Parameters for Discrimination of Honey Samples from Jatai weyrauchi and Jatai angustula Bees

This publication has 19 references indexed in Scilit:

• ComDim: From multiblock data analysis to path modeling
  Food Quality and Preference, 2018
• Honey authentication based on physicochemical parameters and phenolic compounds
  Computers and Electronics in Agriculture, 2017
• Multi-block data analysis using ComDim for the evaluation of complex samples: Characterization of edible oils
  Analytica Chimica Acta, 2017
• Qualitative and quantitative detection of honey adulterated with high-fructose corn syrup and maltose syrup by using near-infrared spectroscopy
  Food Chemistry, 2017
• Verification of authenticity and fraud detection in South African honey using NIR spectroscopy
  Food Control, 2017
• Physicochemical profiles, minerals and bioactive compounds of stingless bee honey (Meliponinae)
  Journal of Food Composition and Analysis, 2016
• NIR detection of honey adulteration reveals differences in water spectral pattern
  Food Chemistry, 2016
• A fast chemometric procedure based on NIR data for authentication of honey with protected geographical indication
  Food Chemistry, 2013
• Identification of significant factors by an extension of ANOVA–PCA based on multi-block analysis
  Chemometrics and Intelligent Laboratory Systems, 2011
• Donald A. Burns, Emil W. Ciurczak (Eds.): Handbook of near-infrared analysis, 3rd ed.
  Analytical and Bioanalytical Chemistry, 2009