Projects per year
Abstract
We demonstrate the ability to discriminate between five brands of commercially available extra-virgin olive oil (EVOO) using Raman spectroscopy or fluorescence spectroscopy. Data was taken on both a ‘bulk optics’ free space system and on a compact handheld device, each capable of taking both Raman and fluorescence data. With the compact Raman device we achieved an average sensitivity and specificity of 98.4% and 99.6% for discrimination, respectively. Our approach illustrates that both Raman and fluorescence spectroscopy can be used for portable discrimination of EVOOs. This technique may enable detection of EVOO that has undergone counterfeiting or adulteration. The main challenge with this technique is that oxidation of EVOO causes a shift in the Raman signal over time. It would therefore be necessary to retrain the database regularly.We demonstrate preliminary data to address this issue, which may enable successful discrimination over time. We show that by discarding the first principal component, which contains information on the variations due to oxidation, we can improve discrimination efficiency.
Original language | English |
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Pages (from-to) | 1872-1882 |
Number of pages | 11 |
Journal | Applied Spectroscopy |
Volume | 70 |
Issue number | 11 |
DOIs | |
Publication status | Published - Nov 2016 |
Keywords
- Raman spectroscopy
- Fluorescence spectroscopy
- Extra Virgin Olive Oil
- Oxidation
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Dive into the research topics of 'Optical spectroscopic analysis for the discrimination of Extra-Virgin Olive Oil'. Together they form a unique fingerprint.Projects
- 1 Finished
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EU FP7 FAMOS: Functional Anatomical Molecular Optical Screening
Dholakia, K. (PI)
1/10/12 → 31/03/17
Project: Standard
Datasets
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Data underpinning - Optical Spectroscopic Analysis for the Discrimination of Extra-Virgin Olive Oil
McReynolds, N. (Creator), Aunon-Garcia, J. M. (Creator), Guengerich, Z. (Contributor), Smith, T. K. (Creator) & Dholakia, K. (Supervisor), University of St Andrews, 2 Dec 2016
DOI: 10.17630/fd0872f0-d829-413a-acf7-ede93b22347f
Dataset
File
Research output
- 1 Conference contribution
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Optical spectroscopic analysis for the discrimination of extra-virgin olive-oil
McReynolds, N., Garcia, J. M. A., Guengerich, Z., Smith, T. K. & Dholakia, K., 28 Jan 2017, MOEMS AND Miniaturized Systems XVI. Piyawattanametha, W. & Park, Y. (eds.). SPIE, 1 p. 101160K. (Proceedings of SPIE; vol. 10116).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile