Combining chromatography and chemometrics for the characterization and authentication of fats and oils from triacylglycerol compositional data—A review

Bosque-Sendra, Juan M.; Cuadros-Rodrı́guez, Luis; Ruíz-Samblás, Cristina; Mata, A. Paulina de la

doi:10.1016/j.aca.2012.02.041

Cited by 136 publications

(64 citation statements)

References 75 publications

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“…The application of chemometric methods is a common and effective way to classify food materials (Bosque-Sendra et al, 2012;Zhang et al, 2012). LDA, for instance, was used to exploit invisible changes of the internal characteristics of blanched sweet corn yielding satisfactory classification rate of 94.3% and performed well in firmness prediction of processed sweet corn (Shao and Li, 2010).…”

Section: Resultsmentioning

confidence: 99%

“…A stepwise technique, using the Wilks' λ method with the usual probabilities of F (3.84 to enter and 2.71 to remove), was applied for variable selection. This procedure uses a combination of forward selection and backward elimination procedures, where before selecting a new variable to be included, it is verified whether all variables previously selected remain significant (Bosque-Sendra et al, 2012). With this approach, it is possible to identify the significant variables obtained for each sample.…”

Section: Discussionmentioning

confidence: 99%

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Effects of gamma and electron beam irradiations on the triacylglycerol profile of fresh and stored Castanea sativa Miller samples

Barreira

Carocho

Ferreira

et al. 2013

Postharvest Biology and Technology

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The present chestnut (Castanea sativa Miller) commercialization dynamics, including distribution to novel markets, demands suitable conservation technologies. Irradiation has been considered a promising alternative to chemical fumigation (legally forbidden and harmful for human health and environment) or heat treatments (technological difficulties and low efficiency). Following previous studies on the effects of irradiation in different chemical parameters, the present work aims to perform an evaluation of the effects of electron beam and γ-irradiation on the triacylglycerol profiles of fresh and stored chestnuts. An analysis of variance with type III sums of squares was performed using the general linear model procedure. As classification technique, a linear discriminant analysis using the stepwise procedure was also applied. Independently of irradiation type, samples irradiated with higher doses showed higher modifications in triacylglycerol profiles. In fact, samples irradiated with 1 and 3 kGy were clearly separated from the remaining groups in the linear discriminant analysis. The obtained results highlight the potential of triacylglycerol profiles as indicators of chestnuts irradiation. However, irradiation might be recommended as a suitable method for chestnuts preservation.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Effects of gamma and electron beam irradiations on the triacylglycerol profile of fresh and stored Castanea sativa Miller samples

Barreira

Carocho

Ferreira

et al. 2013

Postharvest Biology and Technology

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“…The profiles of fatty acids (Cava et al, 1997, Flores et al, 1988, Ruiz et al, 1998, triacylglycerols (Díaz et al, 1996, NarváezRivas et al, 2009, VieraAlcaide et al, 2007, hydrocarbons (VieraAlcaide et al, 2009;Gamero Pasadas et al, 2006;NarvaézRivas et al, 2008) and volatile compounds (NarvaézRivas et al, 2010(NarvaézRivas et al, , 2011 have been related with the fattening diets of Iberian pigs and can be used as chemical descriptors to differentiate among the different feeding backgrounds of the animals. Nearinfrared spectrometry (NIR) is another method that has been used for the authentication of this animal fattening diet (Arce et al, 2009;Hervás et al, 1994;Zamora Rojas et al, 2011.…”

Section: Samplesmentioning

confidence: 99%

“…Jurado, i. viera-alcaide, F. Pablos aNd M. leóN-caMacho al., 2008) and between extensive and intensive systems (Gallardo et al, 2012). Previously, the triacylglycerol profile has been extensively used for the characterization and authentication of several foodstuffs such as olive oil, vegetable oils, animal fats, fish oils, milk and dairy products, cocoa and coffee (BosqueSendra et al, 2012;González et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Application of artificial neural networks to determine the authentication of fattening diets of Iberian pigs according to their triacylglycerol profiles

Narváez-Rivas¹,

Gallardo²,

Jurado³

et al. 2013

Grasas y Aceites

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SUMMARY Application of artificial neural networks to determine the authentication of fattening diets of Iberian pigs according to their triacylglycerol profilesThe triacylglycerols in the subcutaneous fat from Iberian pigs reared on four different feeding types, Montanera, Recebo, extensive Cebo and intensive Cebo, have been determined by gas chromatography with a flame ionization detector. Analyses were performed in a column coated with a bonded stationary phase (50% phenyl50% methylpolysiloxane) with hydrogen as the carrier gas. Lipids were extracted by melting the subcutaneous fat in a microwave oven and then filtering and dissolving it in hexane. A total amount of 2783 samples from several campaigns were considered. Using the triacylglycerols as chemical descriptors, a study on the discriminating power to differentiate samples according to the pig feeding type and system was performed. With this aim, pattern recognition techniques, such as linear discriminant analysis (LDA) and multilayer perceptron artificial neural networks (MLP ANN), have been used. ANN performed better than LDA, with a mean prediction ability of approximately 97% in the differentiation of fattening diets such as Montanera, extensive Cebo and intensive Cebo. In the case of including the recebo fattening diet, the model presents a mean performance of 82%. The differentiation of fattening systems has also been achieved by means of ANN, with a mean performance of 96%.

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“…These methods include chromatographic techniques (Bosque-Sendra et al, 2012;Baccouri et al, 2008) and spectroscopic techniques, such as mass spectrometry (Calvano et al, 2012), Nuclear Magnetic Resonance (NMR) (Fragaki et al, 2005), near-infrared spectroscopy (Mignani et al, 2011), Raman spectroscopy (Dong et al, 2012), chemiluminescence (Papadopoulos et al, 2002), fluorescence spectroscopy (Sikorska, Khmelinskii & Sikorski, 2012), and synchronous fluorescence (Poulli, Mousdis & Georgiou, 2007). This study focuses on the detection and quantification of adulteration of extra-virgin olive oil with edible oils, using a combination of LED-induced spectrofluorimetry and chemometrics.…”

Section: Introductionmentioning

confidence: 99%

Identification of Adulteration of Olive Oil with Other Edible Oils by LED-induced Fluorescence and Multivariate Calibration

Meira¹,

Quintella²,

Ribeiro³

et al. 2014

IJC

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The most common adulterants found in extra-virgin olive oil are refined olive oil and other vegetable oils, such as sunflower, soybean, corn, and canola. In addition to constituting economic fraud, adulteration can cause serious damage to the health of the consumer. This study focuses on the detection and quantification of the adulteration of extra-virgin olive oil with edible oils, using spectrofluorimetry and chemometrics. The data were analyzed by Principal Components Analysis (PCA) and Partial Least Squares (PLS) analysis. Through PCA, it was possible to separate the samples into two distinct areas, olive oil and other edible oils, based on their chemical composition. The PLS model, built with the spectra of mixtures of soybean oil in extra-virgin olive oil, exhibited an R 2 of 0.99412 and low RMSEP (Root Mean Square Error of Prediction) (3.59), RMSEC (Root Mean Square Error of Calibration) (2.32) and bias (4.77. 10 -7 ) values. Thus, the PLS model was considered exact for calibration and prediction.

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Combining chromatography and chemometrics for the characterization and authentication of fats and oils from triacylglycerol compositional data—A review

Cited by 136 publications

References 75 publications

Effects of gamma and electron beam irradiations on the triacylglycerol profile of fresh and stored Castanea sativa Miller samples

Effects of gamma and electron beam irradiations on the triacylglycerol profile of fresh and stored Castanea sativa Miller samples

Application of artificial neural networks to determine the authentication of fattening diets of Iberian pigs according to their triacylglycerol profiles

Identification of Adulteration of Olive Oil with Other Edible Oils by LED-induced Fluorescence and Multivariate Calibration

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