Gas-chromatographic fatty-acid fingerprints and partial least squares modeling as a basis for the simultaneous determination of edible oil mixtures

Hajimahmoodi, Mannan; Heyden, Yvan Vander; Sadeghi, Naficeh; Jannat, Behrooz; Oveisi, Mohammad Reza; Shahbazian, S.

doi:10.1016/j.talanta.2005.01.011

Cited by 75 publications

(42 citation statements)

References 22 publications

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“…There are a limited number of published studies focusing specifically on the issue of multiple blended oils used to adulterate EVOO. A chromatographic approach with PLS was applied for determination of cottonseed, olive, soybean and sunflower ternary and quaternary edible oil mixtures (Hajimahmoodi et al, 2005). The relative standard error for each oil in mixed samples was specified as less than 10%.…”

Section: Introductionmentioning

confidence: 99%

Detection of adulteration of extra-virgin olive oil by chemometric analysis of mid-infrared spectral data

2009

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a b s t r a c tThis study focuses on the detection and quantification of extra-virgin olive oil adulteration with different edible oils using mid-infrared (IR) spectroscopy with chemometrics. Mid-IR spectra were manipulated with wavelet compression previous to principal component analysis (PCA). Detection limit of adulteration was determined as 5% for corn-sunflower binary mixture, cottonseed and rapeseed oils. For quantification of adulteration, mid-IR spectral data were manipulated with orthogonal signal correction (OSC) and wavelet compression before partial least square (PLS) analysis. The results revealed that models predict the adulterants, corn-sunflower binary mixture, cottonseed and rapeseed oils, in olive oil with error limits of 1.04, 1.4 and 1.32, respectively. Furthermore, the data were analysed with a general PCA model and PLS discriminant analysis (PLS-DA) to observe the efficiency of the model to detect adulteration regardless of the type of adulterant oil. In this case, detection limit for adulteration is determined as 10%.

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Section: Introductionmentioning

confidence: 99%

Detection of adulteration of extra-virgin olive oil by chemometric analysis of mid-infrared spectral data

2009

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“…Both of these ions can cause the formation of insoluble soaps, which can be deposited in the motor and also promote catalytic polymerization reactions. [9][10][11] Reduction of the water-soluble contaminants is traditionally accomplished by water washing of the biodiesel. However, the water-wash method results in an aqueous effluent, which can then cause a detrimental environmental impact.…”

Section: Introductionmentioning

confidence: 99%

Dry washing in biodiesel purification: a comparative study of adsorbents

Faccini¹,

Cunha²,

Moraes³

et al. 2011

J. Braz. Chem. Soc.

132

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O objetivo deste trabalho é comparar a eficiência de diferentes adsorventes na purificação de biodiesel produzido por transesterificação alcalina do óleo de soja (metanol/KOH). As metodologias propostas foram baseadas na utilização de Magnesol ® , sílica, Amberlite BD10 DRY ® e Purolite PD 206 ® como adsorventes e foram desenvolvidas por adsorção a 65 ºC. A eficiência de cada adsorvente foi medida através do teor residual de potássio, álcool, água e sabão, dissolvidos no biodiesel purificado. Como resultado, observamos que Magnesol ® e sílica apresentaram melhores propriedades de adsorção que Amberlite BD10 DRY® e Purolite PD 206 ® , especialmente para remover sabão, glicerina livre e ligada e potássio. Em comparação com a lavagem ácida convencional, estas matrizes foram consideradas adequadas para a remoção de espécies contaminantes inorgânicas e orgânicas do biodiesel. Os principais resultados encontrados para estes dois adsorventes (Magnesol ® 1% e sílica 2%) foram valores abaixo de 0,17 mg KOH g -1 de acidez, 1 mg kg -1 de potássio, 61 ppm de sabão, 500 mg kg -1 de água, 0,22% de metanol, 0,30% de glicerina livre e 0,03% de glicerina ligada.The purpose of this work is to compare the efficiency of different adsorbents in the purification of biodiesel produced by alkaline transesterification of soybean oil (Methanol/KOH). The proposed methodologies were based on the use of Magnesol ® , silica, Amberlite BD10 DRY ® and Purolite PD 206 ® as adsorbents and were developed by adsorption at 65 ºC. The response of each adsorbent was measured through the residual potassium, alcohol, water and soaps dissolved in the purified biodiesel. As a result, we observe that Magnesol ® and silica showed better adsorption properties than Amberlite BD10 DRY ® and Purolite PD 206 ® , especially for removing soap, free and bonded glycerol and potassium. In comparison to the conventional acid water washing, these matrices were found to be equally appropriate for the removal of inorganic and organic contaminant species from biodiesel. The main results found for these two adsorbents (Magnesol ® 1% and silica 2%) were values below 0.17 mg KOH g -1 for acid number, 1 mg kg -1 of K, 61 ppm of soap, 500 mg kg -1 of water, 0.22% of methanol and 0.03% of free glycerol. IntroductionBiodiesel is a diesel fuel substitute obtained mainly by basic catalytic transesterification of oils and fats, and it is composed by fatty acid mono-alkyl esters that are produced from the reaction of low-acid-number vegetable oils with an alcohol in the presence of a basic catalyst. [1][2][3] Biodiesel is currently produced by the base-catalyzed transmethylation of triglycerides, producing fatty acids methyl esters (FAME). 4,5 At the end of the reaction, the Faccini et al. 559 Vol. 22, No. 3, 2011 glycerol rich-phase is separated from the methyl ester layer by decantation.Methyl esters usually contain contaminant materials that are detrimental to the quality of the fuel, and must be eliminated from the product. Removal of glycerol and glycerides from biodies...

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“…To measure these compounds, among others spectroscopy techniques (FT-MIR and FT-Raman and fluorescence spectroscopy), chromatography, nuclear magnetic resonance (NMR) spectroscopy techniques are being used [15][16][17][18]. The chromatographic techniques include gas chromatography (GC) [5,19,20], GC-mass spectrometry [21][22][23], high-performance liquid chromatography [24][25][26]. Thermal characteristics of extra virgin olive oil can also be used to adequately detect the adulteration of this oil and to carry out quality control throughout its production chain [27].…”

Section: Introductionmentioning

confidence: 99%

Application of lag-k autocorrelation coefficient and the TGA signals approach to detecting and quantifying adulterations of extra virgin olive oil with inferior edible oils

Torrecilla

García

et al. 2011

Analytica Chimica Acta

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Gas-chromatographic fatty-acid fingerprints and partial least squares modeling as a basis for the simultaneous determination of edible oil mixtures

Cited by 75 publications

References 22 publications

Detection of adulteration of extra-virgin olive oil by chemometric analysis of mid-infrared spectral data

Detection of adulteration of extra-virgin olive oil by chemometric analysis of mid-infrared spectral data

Dry washing in biodiesel purification: a comparative study of adsorbents

Application of lag-k autocorrelation coefficient and the TGA signals approach to detecting and quantifying adulterations of extra virgin olive oil with inferior edible oils

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