TY - JOUR
T1 - Use of ATR-FTIR spectroscopy coupled with chemometrics for the authentication of avocado oil in ternary mixtures with sunflower and soybean oils
AU - Jiménez-Sotelo, Paola
AU - Hernández-Martínez, Maylet
AU - Osorio-Revilla, Guillermo
AU - Meza-Márquez, Ofelia Gabriela
AU - García-Ochoa, Felipe
AU - Gallardo-Velázquez, Tzayhrí
N1 - Publisher Copyright:
© 2016 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2016
Y1 - 2016
N2 - ABSTRACT: Avocado oil is a high-value and nutraceutical oil whose authentication is very important since the addition of low-cost oils could lower its beneficial properties. Mid-FTIR spectroscopy combined with chemometrics was used to detect and quantify adulteration of avocado oil with sunflower and soybean oils in a ternary mixture. Thirty-seven laboratory-prepared adulterated samples and 20 pure avocado oil samples were evaluated. The adulterated oil amount ranged from 2% to 50% (w/w) in avocado oil. A soft independent modelling class analogy (SIMCA) model was developed to discriminate between pure and adulterated samples. The model showed recognition and rejection rate of 100% and proper classification in external validation. A partial least square (PLS) algorithm was used to estimate the percentage of adulteration. The PLS model showed values of R2 > 0.9961, standard errors of calibration (SEC) in the range of 0.3963–0.7881, standard errors of prediction (SEP estimated) between 0.6483 and 0.9707, and good prediction performances in external validation. The results showed that mid-FTIR spectroscopy could be an accurate and reliable technique for qualitative and quantitative analysis of avocado oil in ternary mixtures.
AB - ABSTRACT: Avocado oil is a high-value and nutraceutical oil whose authentication is very important since the addition of low-cost oils could lower its beneficial properties. Mid-FTIR spectroscopy combined with chemometrics was used to detect and quantify adulteration of avocado oil with sunflower and soybean oils in a ternary mixture. Thirty-seven laboratory-prepared adulterated samples and 20 pure avocado oil samples were evaluated. The adulterated oil amount ranged from 2% to 50% (w/w) in avocado oil. A soft independent modelling class analogy (SIMCA) model was developed to discriminate between pure and adulterated samples. The model showed recognition and rejection rate of 100% and proper classification in external validation. A partial least square (PLS) algorithm was used to estimate the percentage of adulteration. The PLS model showed values of R2 > 0.9961, standard errors of calibration (SEC) in the range of 0.3963–0.7881, standard errors of prediction (SEP estimated) between 0.6483 and 0.9707, and good prediction performances in external validation. The results showed that mid-FTIR spectroscopy could be an accurate and reliable technique for qualitative and quantitative analysis of avocado oil in ternary mixtures.
KW - Avocado oil
KW - SIMCA
KW - adulteration
KW - chemometrics
KW - mid-FTIR
KW - ternary mixture
UR - http://www.scopus.com/inward/record.url?scp=84978485756&partnerID=8YFLogxK
U2 - 10.1080/19440049.2016.1203073
DO - 10.1080/19440049.2016.1203073
M3 - Artículo
C2 - 27314226
SN - 1944-0049
VL - 33
SP - 1105
EP - 1115
JO - Food Additives and Contaminants - Part A Chemistry, Analysis, Control, Exposure and Risk Assessment
JF - Food Additives and Contaminants - Part A Chemistry, Analysis, Control, Exposure and Risk Assessment
IS - 7
ER -