Non-destructive fraud detection in rosehip oil by MIR spectroscopy and chemometrics

Food Chem. 2016 Oct 15;209:228-33. doi: 10.1016/j.foodchem.2016.04.051. Epub 2016 Apr 18.

Abstract

Rosehip oil (Rosa eglanteria L.) is an important oil in the food, pharmaceutical and cosmetic industries. However, due to its high added value, it is liable to adulteration with other cheaper or lower quality oils. With this perspective, this work provides a new simple, fast and accurate methodology using mid-infrared (MIR) spectroscopy and partial least squares discriminant analysis (PLS-DA) as a means to discriminate authentic rosehip oil from adulterated rosehip oil containing soybean, corn and sunflower oils in different proportions. The model showed excellent sensitivity and specificity with 100% correct classification. Therefore, the developed methodology is a viable alternative for use in the laboratory and industry for standard quality analysis of rosehip oil since it is fast, accurate and non-destructive.

Keywords: Adulteration of edible oils; Infrared spectroscopy; Multivariate classification; PLS-DA; Rosehip oil.

Publication types

  • Evaluation Study

MeSH terms

  • Discriminant Analysis
  • Food Contamination / analysis*
  • Least-Squares Analysis
  • Plant Oils / analysis*
  • Rosa / chemistry*
  • Soybean Oil / analysis
  • Spectroscopy, Fourier Transform Infrared / methods*
  • Sunflower Oil

Substances

  • Plant Oils
  • Sunflower Oil
  • Soybean Oil