University of Guelph, School of Engineering. University of Guelph, Agriculture and Food Laboratory
Detection of the adulteration of extra virgin olive oil by near-infrared spectroscopy and chemometric techniques
Nick Vanstone,A. Moore,P. Martos,Suresh Neethirajan
Published 2018 in Food Quality and Safety
ABSTRACT
PUBLICATION RECORD
- Publication year
2018
- Venue
Food Quality and Safety
- Publication date
2018-11-07
- Fields of study
Agricultural and Food Sciences, Chemistry, Engineering, Environmental Science
- Identifiers
- External record
- Source metadata
Semantic Scholar
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CLAIMS
- No claims are published for this paper.
CONCEPTS
- adulteration
The presence of undeclared or lower-quality oils mixed into the olive oil samples under investigation.
Aliases: oil adulteration
- chemometric techniques
Multivariate data-analysis methods applied to the spectral data for classification or detection tasks.
Aliases: chemometrics
- extra virgin olive oil
The olive oil product analyzed as the target food sample in the title.
Aliases: EVOO
- near-infrared spectroscopy
A spectroscopic measurement technique used to collect near-infrared signals from the oil samples.
Aliases: NIR spectroscopy, NIRS
REFERENCES
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