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

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

Author information

1
Institute of Chemistry, Federal University of Uberlândia, Campus Santa Mônica, 38408-100 Uberlândia, Minas Gerais, Brazil. Electronic address: felipebachion@hotmail.com.
2
Institute of Chemistry, Federal University of Uberlândia, Campus Santa Mônica, 38408-100 Uberlândia, Minas Gerais, Brazil; Goiano Federal Institute of Education, Science and Technology, Rodovia Geraldo Silva Nascimento, km 2,5, 75490-000 Urutaí, GO, Brazil. Electronic address: quilucas10@gmail.com.br.
3
Institute of Chemistry, Federal University of Uberlândia, Campus Santa Mônica, 38408-100 Uberlândia, Minas Gerais, Brazil. Electronic address: herymitsutake@gmail.com.
4
Institute of Chemistry, Federal University of Uberlândia, Campus Santa Mônica, 38408-100 Uberlândia, Minas Gerais, Brazil; Josina Machel Secondary School of Belane, Vilankulo, Inhambane, Mozambique. Electronic address: mazivilasj@mestrado.ufu.br.
5
Institute of Chemistry, Federal University of Uberlândia, Campus Santa Mônica, 38408-100 Uberlândia, Minas Gerais, Brazil. Electronic address: leticiams@mestrado.ufu.br.
6
Institute of Chemistry, Federal University of Uberlândia, Campus Santa Mônica, 38408-100 Uberlândia, Minas Gerais, Brazil. Electronic address: wbn@iqufu.ufu.br.

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

PMID:
27173556
DOI:
10.1016/j.foodchem.2016.04.051
[Indexed for MEDLINE]
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