Garrido-Varo, A;
Riccioli, C;
Fearn, T;
De Pedro, E;
Perez-Marin, D;
(2019)
Multivariate predictive models for the prediction of fatty acids in the EU high added-value "acorn Iberian pig ham" using a miniature near-infrared spectroscopy instrument.
In: Kim, MS and Chin, BA and Cho, BK, (eds.)
SENSING FOR AGRICULTURE AND FOOD QUALITY AND SAFETY XI.
SPIE: Baltimore, MD, United States.
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Abstract
Acorn Iberian ham (Jamón Ibérico de Bellota) is one of the most expensive luxury foodstuffs produced in Europe, with a highly appreciated smell and flavour. Its recognized high-sensorial quality and health properties are mainly due to the traditional outdoor feeding system (Montanera) of Iberian pigs (IP), which provides high standards of animal welfare. Nowadays, one of the frauds affecting this product is the use of “special compound feeds” to simulate the fat composition of the acorns through the inclusion of sources of oleic acid like the ones found in pigs fed outdoors. The high prices paid for a cured leg of Iberian ham –ranging from hundreds to thousands of euros- leads to many opportunities for mislabelling and fraud. Fatty acid content of the adipose tissue could provide evidence of the feeding system. Gas chromatography (GC) is used at industry level for production control purposes. However, it is costly and time-consuming, and it is only applied to batches of animals rather than individual pigs. The main goal of this study was to use spectra belonging to a portable NIRS instrument (MicroNIR Onsite Lite, Viavi Solutions Inc.) for on–site quantitative (fatty acid content) analysis of individual Iberian pork carcasses at the slaughterhouse. Performance of this portable instrument was compared with an at-line NIRS monochromator. PLS models were built and optimized resulting in standard errors of cross validation ranging from 0.83 to 0.84 for palmitic acid, 0.94 to 0.99 for stearic acid, 1.47 to 1.56 for oleic acid and 0.53 to 0.58 for linoleic acid.
| Type: | Proceedings paper |
|---|---|
| Title: | Multivariate predictive models for the prediction of fatty acids in the EU high added-value "acorn Iberian pig ham" using a miniature near-infrared spectroscopy instrument. |
| Event: | Conference on Sensing for Agriculture and Food Quality and Safety XI, held at SPIE Defense + Commercial Sensing |
| Location: | Baltimore, MD |
| Dates: | 16 April 2019 - 17 April 2019 |
| ISBN-13: | 978-1-5106-2697-3 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1117/12.2521977 |
| Publisher version: | https://doi.org/10.1117/12.2521977 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | NIRS, in situ quality control, fatty acids, quantitative models, Iberian ham, high-value food products. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10083215 |
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