TY - JOUR

T1 - Tracing the origin of extra virgin olive oils by infrared spectroscopy and chemometrics

T2 - a case study

AU - Bevilacqua, Marta

AU - Bucci, Remo

AU - Magrì, Andrea D.

AU - Magrì, Antonio L.

AU - Marini, Federico

PY - 2012

Y1 - 2012

N2 - In this paper, the potential of coupling mid- and near-infrared spectroscopic fingerprinting techniques and chemometric classification methods for the traceability of extra virgin olive oil samples from the PDO Sabina was investigated. To this purpose, two different pattern recognition algorithm representative of the discriminant (PLS-DA) and modeling (SIMCA) approach to classification were employed. Results obtained after processing the spectroscopic data by PLS-DA evidenced a rather high classification accuracy, NIR providing better predictions than MIR (as evaluated both in cross-validation and on an external test set). SIMCA confirmed these results and showed how the category models for the class Sabina can be rather sensitive and highly specific. Lastly, as samples from two harvesting years (2009 and 2010) were investigated, it was possible to evidence that the different production year can have a relevant effect on the spectroscopic fingerprint. Notwithstanding this, it was still possible to build models that are transferable from one year to another with good accuracy.

AB - In this paper, the potential of coupling mid- and near-infrared spectroscopic fingerprinting techniques and chemometric classification methods for the traceability of extra virgin olive oil samples from the PDO Sabina was investigated. To this purpose, two different pattern recognition algorithm representative of the discriminant (PLS-DA) and modeling (SIMCA) approach to classification were employed. Results obtained after processing the spectroscopic data by PLS-DA evidenced a rather high classification accuracy, NIR providing better predictions than MIR (as evaluated both in cross-validation and on an external test set). SIMCA confirmed these results and showed how the category models for the class Sabina can be rather sensitive and highly specific. Lastly, as samples from two harvesting years (2009 and 2010) were investigated, it was possible to evidence that the different production year can have a relevant effect on the spectroscopic fingerprint. Notwithstanding this, it was still possible to build models that are transferable from one year to another with good accuracy.

KW - Chemometrics

KW - Extra virgin olive oil

KW - Food traceability

KW - Infrared spectroscopy

KW - Partial least squares discriminant analysis (PLS-DA)

KW - SIMCA

U2 - 10.1016/j.aca.2011.12.035

DO - 10.1016/j.aca.2011.12.035

M3 - Journal article

AN - SCOPUS:84856430038

VL - 717

SP - 39

EP - 51

JO - Analytica Chimica Acta

JF - Analytica Chimica Acta

SN - 0003-2670

ER -