Computer prediction of triacylglycerol composition of vegetable oils by HRGC

Filho, Nelson Roberto Antoniosi; Mendes, O.; Lanças, Fernando Mauro

doi:10.1007/bf02290268

Cited by 209 publications

(127 citation statements)

References 19 publications

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“…The fatty acid composition was used to predict the groups of TAGs in the non-interesterified blend with PrÓleos software (Antoniosi Filho et al, 1995). The composition of TAGs present in interesterified lipids was analyzed according to the 1,3-random, 2-random theory (non-random redistribution), and 1,2,3-random theory (random redistribution), based on the analysis of the regio-specific distribution described in item 3.4 (D' Agostini and Gioielli, 2002;Guedes et al, 2014).…”

Section: Triacylglycerol Compositionmentioning

confidence: 99%

Amazonian Buriti oil: chemical characterization and antioxidant potential

et al. 2016

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SUMMARY:Buriti oil is an example of an Amazonian palm oil of economic importance. The local population uses this oil for the prevention and treatment of different diseases; however, there are few studies in the literature that evaluate its properties. In this study, detailed chemical and antioxidant properties of Buriti oil were determined. The predominant fatty acid was oleic acid (65.6%) and the main triacylglycerol classes were tri-unsaturated (50.0%) and di-unsaturated-mono-saturated (39.3%) triacylglycerols. The positional distribution of the classes of fatty acids on the triacylglycerol backbone indicated a saturated and unsaturated fatty acid relationship similar in the three-triacylglycerol positions. All tocopherol isomers were present, with a total content of 2364.1 mg·kg −1 . α-tocopherol constitutes 48% of the total tocopherol content, followed by γ-tocopherol (45%). Total phenolic (107.0 mg gallic acid equivalent·g −1 oil) and β-carotene (781.6 mg·kg −1 ) were particularly high in this oil. The highest antioxidant activity against the free radical 1,1-diphenyl-2-picrylhydrazyl (DPPH) was obtained at an oil concentration of 50 mg·mL −1 (73.15%). The antioxidant activity evaluated by the Oxygen Radical Absorbance Capacity (ORAC) was 95.3 μmol Trolox equivalent·g −1 oil. These results serve to present Buriti oil as an Amazonian resource for cosmetic, food and pharmaceuticals purposes. KEYWORDS: Fatty acid; Minor compound; Radical scavenging activity; Regio-specific distribution; TriacylglycerolRESUMEN: Aceite de buriti de la Amazonia: Caracterización química y potencial antioxidante. El aceite de Buriti es un ejemplo de aceite de palma amazónica de gran importancia económica. La población local utiliza este aceite para la prevención y el tratamiento de diferentes enfermedades; sin embargo, hay pocos estudios científicos que evalúen sus propiedades. En este estudio, se determinaron las propiedades antioxidantes del aceite de Buriti. El ácido graso predominante fue el oleico (65,6 %) y las principales clases de triglicéridos fueron tri-insaturadas (50,0 %) y Di-insaturados-mono-saturada (39,3 %). La distribución posicional de las clases de ácidos grasos en el esqueleto de triacilglicerol indicó una relación de ácidos grasos saturados e insaturados similar en las tres posiciones del triacilglicerol. Todas las isoformas de tocoferol estaban presentes, con un contenido total de 2364.1 mg·kg ) fueron particularmente altos en este aceite. La mayor actividad antioxidante contra el radical 1,1-difenil-2-picrilhidrazil libre (DPPH) se obtuvo a una concentración de aceite de 50 mg·mL −1 (73,15 %). La actividad antioxidante evaluadas por la capacidad de absorción de radicales de oxígeno (ORAC) fue 95,3 mmol Trolox equivalente·g −1 de aceite. Estos resultados presentan al aceite de Buriti amazónico como buen recurso con fines cosmético, alimenticio y farmacéutico.

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Section: Triacylglycerol Compositionmentioning

confidence: 99%

Amazonian Buriti oil: chemical characterization and antioxidant potential

et al. 2016

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“…A identificação dos grupos de triacilgliceróis foi realizada através da comparação dos tempos de retenção, segundo os procedimentos de grimaldi 24 e Antoniossi Filho. 25,26 A composição em triacilgliceróis das matérias-primas foi também obtida teoricamente através do software 1,2,3 Óleos, baseada na hipótese de distribuição 1,3-random-2-random, que prevê a porcentagem molar dos triacilgliceróis presentes em óleos vegetais, a partir da composição em ácido graxos destas amostras.…”

Section: Composição Triacilglicerólicaunclassified

Interesterificação química de óleo de soja e óleo de soja totalmente hidrogenado: influência do tempo de reação

Ribeiro¹,

Masuchi²,

Grimaldi³

et al. 2009

Quím. Nova

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Recebido em 3/6/08; aceito em 11/11/08; publicado na web em 26/2/09ChEmiCAl iNTERESTERiFiCATioN oF SoyBEAN oil AND FUlly hyDRogENATED SoyBEAN oil: iNFlUENCE oF ThE REACTioN TimE. Chemical interesterification is an important alternative to produce zero trans fats. in practice, however, excessive reaction times are used to ensure complete randomization. This work evaluated the influence of the reaction time on the interesterification of soybean oil/fully hydrogenated soybean oil blend, carried out in the following conditions: 100 °C, 500 rpm stirring speed, 0.4% (w/w) sodium methoxide catalyst. The triacylglycerol composition, solid fat content and melting point analysis showed that the reaction was very fast, reaching the equilibrium within 5 min. This result suggests the interesterification can be performed in substantially lower times, with reduction in process costs.

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“…48 In the first approach, one represents the feed oil as a mixture of mixed TGs. One can use either the high-resolution gas chromatography (HRGC) or the prediction method proposed by Filho et al 63 to obtain the composition of each mixed TG in the vegetable oil mixture. We estimate the thermophysical property of each mixed TG by applying a specific prediction method and then used the ideal mixing rule to estimate the property of the feed oil according to the composition of mixed TGs.…”

Section: Three Approaches To Feed Oil Characterizationmentioning

confidence: 99%

Selection of Prediction Methods for Thermophysical Properties for Process Modeling and Product Design of Biodiesel Manufacturing

Liu

Tovar

et al. 2011

Ind. Eng. Chem. Res.

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To optimize biodiesel manufacturing, many reported studies have built simulation models to quantify the relationship between operating conditions and process performance. For mass and energy balance simulations, it is essential to know the four fundamental thermophysical properties of the feed oil: liquid density (ρ L ), vapor pressure (P vap ), liquid heat capacity (C p L ), and heat of vaporization (ΔH vap ). Additionally, to characterize the fuel qualities, it is critical to develop quantitative correlations to predict three biodiesel properties, namely, viscosity, cetane number, and flash point. Also, to ensure the operability of biodiesel in cold weather, one needs to quantitatively predict three low-temperature flow properties: cloud point (CP), pour point (PP), and cold filter plugging point (CFPP). This article presents the results from a comprehensive evaluation of the methods for predicting these four essential feed oil properties and six key biodiesel fuel properties. We compare the predictions to reported experimental data and recommend the appropriate prediction methods for each property based on accuracy, consistency, and generality. Of particular significance are (1) our presentation of simple and accurate methods for predicting the six key fuel properties based on the number of carbon atoms and the number of double bonds or the composition of total unsaturated fatty acid methyl esters (FAMEs) and (2) our posting of the Excel spreadsheets for implementing all of the evaluated accurate prediction methods on our group website (www.design.che.vt.edu) for the reader to download without charge.ii Acknowledgement

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Computer prediction of triacylglycerol composition of vegetable oils by HRGC

Cited by 209 publications

References 19 publications

Amazonian Buriti oil: chemical characterization and antioxidant potential

Amazonian Buriti oil: chemical characterization and antioxidant potential

Interesterificação química de óleo de soja e óleo de soja totalmente hidrogenado: influência do tempo de reação

Selection of Prediction Methods for Thermophysical Properties for Process Modeling and Product Design of Biodiesel Manufacturing

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