Fatty acid spectrum of mediterranean wild cruciferae

Kumar, Priya Ranjan; Tsunoda, Shigesaburo

doi:10.1007/bf02669920

Cited by 57 publications

(25 citation statements)

References 15 publications

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“…Such a discrepancy may be due to different cultivation procedures or pod pre‐treatment. Other species where major differences in oil content occurred compared with previous studies were C. orientalis (17% higher than in Kumar & Tsunoda, ), Hirschfeldia incana (L.) Lagr‐Fossat (12–17% higher than Kumar & Tsunoda, ), S. irio (17–22% higher than Mikolajczak et al ., ) and R. raphanistrum (10–17% higher than Jones & Earle, ). However, the extremely small seed size quoted by Jones and Earle () for R. raphanistrum would suggest that they may have incorrectly identified the species.…”

Section: Discussionmentioning

confidence: 50%

“…The oil content of R. rugosum was similar to that reported by Miller et al . (), but approximately 35% more than Kumar and Tsunoda (). Such a discrepancy may be due to different cultivation procedures or pod pre‐treatment.…”

Section: Discussionmentioning

confidence: 87%

“…The fatty acid profiles of the different species were generally very similar to those reported previously (e.g. Mikolajczak et al ., ; Miller et al ., ; Appelqvist, ; Kumar & Tsunoda, ). The values in the current study were generally slightly lower for the shorter chain (C16 and C18) fatty acids and slightly higher for the longer chain fatty acids than those reported by Kumar and Tsunoda (), perhaps due to environmental differences at ripening (Appelqvist, ).…”

Section: Discussionmentioning

confidence: 99%

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Potential impact of weedy Brassicaceae species on oil and meal quality of oilseed rape (canola) in Australia

Salisbury

Potter²,

Gurung

et al. 2018

Weed Research

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Summary Brassicaceae weeds are a widespread problem in Australian oilseed rape crops. The weeds not only compete for resources during crop growth, but also have the potential to reduce both oil and meal quality of the harvested crop. This study investigated oil and meal quality of weedy species from the Brassicaceae family that were collected throughout cropping regions of Australia. Eighty‐nine lines from 19 species were grown and evaluated in the same environment for their potential to contaminate Australian oilseed rape seed lots. Seed and flowering characteristics of each species were also examined. The glucosinolate concentration of most of the weedy species was greater than 100 μmol g−1 of oil‐free meal, well above the threshold for meeting oilseed rape quality. Erucic acid content of 18 of the 19 weedy species also exceeded the oilseed rape quality standard of less than 2% erucic acid. This study highlights the potential of the weedy species to reduce the quality of Australian oilseed rape crops.

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Section: Discussionmentioning

confidence: 50%

Section: Discussionmentioning

confidence: 87%

Section: Discussionmentioning

confidence: 99%

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Potential impact of weedy Brassicaceae species on oil and meal quality of oilseed rape (canola) in Australia

Salisbury

Potter²,

Gurung

et al. 2018

Weed Research

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“…There was also a significant positive correlation (p < 0.0001) between vaccinic and linoleic acids. 35 Since linoleic acid (18:2) and linolenic acid (18:3) contents are positively correlated, selection of genotypes with low linolenic and high linoleic contents may be difficult, but nevertheless feasible. 25 There were highly significant positive correlations between stearic and palmitic, and oleic acids, while a negative correlation was found between stearic, and vaccinic, linoleic, α-linolenic, eicosenoic and erucic acids.…”

Section: Relationship Between Oil Content and Fatty Acid Compositionmentioning

confidence: 99%

Capillary gas chromatography analysis of Ethiopian mustard to determine variability of fatty acid composition

Genet¹,

Labuschagne²,

Hugo³

2004

J Sci Food Agric

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Ethiopian mustard (Brassica carinata A. Braun) is an oil crop grown in Ethiopia. However, the oil is considered low quality, as it contains long chain monounsaturated fatty acids, mainly erucic acid. High erucic acid content is beneficial for the polymer industry, whereas low erucic acid is recommended for food purposes. Both linoleic and linolenic acids are essential fatty acids; however, less than 3% linolenic acid is preferred for oil stability. The objectives of this study were to determine fatty acid composition of Ethiopian mustard to determine the range of genetic diversity for these traits. The genotypes were analysed by capillary gas chromatography (CGC). Twenty-six fatty acids were identified. In all accessions, the predominant fatty acids were erucic, linoleic, α-linolenic and oleic, followed by gadoleic and palmitic. To a lesser extent stearic, vaccinic, nervonic and behenic acids were found in all accessions. Significant correlations were found between palmitic acid and stearic acid (positive), between erucic acid and palmitic, stearic, vaccinic, oleic, linoleic and α-linolenic acids (negative) and eicosenoic acid (positive). Selection and hybridization techniques can be applied to modify the oil content of Ethiopian mustard, considering the variability observed.

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“…These seeds can have an oil content of over 40 % in which the dominant fatty acids include oleic acid, linoleic acid and erucic acid [13]. Because it contains a high level of erucic acid [14][15][16][17] as being a toxic compound, mustard oil does not suitable to eat, but it could be a viable feedstock for biodiesel production [13].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Kinematic Viscosities of Biodiesels Derived from Edible and Non-edible Vegetable Oils by Using Artificial Neural Networks

et al. 2015

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In the present study, the seeds named as wild mustard (Sinapis arvensis L.) and safflower (Carthamus tinctorius L.) were used as feedstocks for production of biodiesels. In order to obtain wild mustard seed oil (WMO) and safflower seed oil (SO), screw press apparatus was used. wild mustard seed oil biodiesel (WMOB) and safflower seed oil biodiesel (SOB) were produced using methanol and NaOH by transesterification process. Various properties of these biodiesels such as density (883.62-886.35 kg m −3 ), specific gravity (0.88442-0.88709), kinematic viscosity (5.75-4.11 mm 2 s −1 ), calorific value (40.63-38.97 MJ kg −1 ), flash point (171-175 • C), water content (328.19-412.15 mg kg −1 ), color (2.0-1.8), cloud point [5.8-(−4.7) • C], pour point [(-3.1)-(-13.1) • C), cold filter plugging point [(−2.0)-(−9.0) • C)], copper strip corrosion (1a-1a) and pH (7.831-7.037) were determined. Furthermore, kinematic viscosities of biodiesels and euro-diesel (ED) were measured at 298.15-373.15 K intervals with 1 K increments. Four different equations were used to predict the viscosities of fuels. Regression analyses were done in MATLAB program, and R 2 , correlation constants and root-mean-square error were determined. 1-7-7-3 artificial neural network (ANN) model with a back propagation learning algorithm was developed to predict the viscosities of fuels. The performance of neural B Tanzer Eryilmaz network-based model was compared with the performance of viscosity prediction models using same observed data. It was found that ANN model consistently gave better predictions (0.9999 R 2 values for all fuels) compared to these models. ANN model was showed 0.34 % maximum errors. Based on the results of this study, ANNs appear to be a promising technique for predicting viscosities of biodiesels.

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Fatty acid spectrum of mediterranean wild cruciferae

Cited by 57 publications

References 15 publications

Potential impact of weedy Brassicaceae species on oil and meal quality of oilseed rape (canola) in Australia

Potential impact of weedy Brassicaceae species on oil and meal quality of oilseed rape (canola) in Australia

Capillary gas chromatography analysis of Ethiopian mustard to determine variability of fatty acid composition

Prediction of Kinematic Viscosities of Biodiesels Derived from Edible and Non-edible Vegetable Oils by Using Artificial Neural Networks

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