Predicting Jatropha curcas seed-oil content, oil composition and protein content using near-infrared spectroscopy—A quick and non-destructive method

Vaknin, Yiftach; Ghanim, Miriam; Samra, Shahar; Dvash, L.; Hendelsman, Efrat; Eisikowitch, D.; Samocha, Yael

doi:10.1016/j.indcrop.2011.03.011

Cited by 58 publications

(46 citation statements)

References 27 publications

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“…Furthermore, Jatropha seed oil contained large amounts of oleic acid (C18:1) and linoleic acid (C18:2). Compared with the previous papers [31,32], the compositions of Jatropha seed oil were similar, and all Jatropha seed oil contained large amounts of unsaturated fatty acids, which are mainly oleic acid (C18:1) and linoleic acid (C18:2), as shown Table 1. …”

Section: Gc-ms Analysis Of Jatropha Curcas L Seeds Oilmentioning

confidence: 64%

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Cascade Extraction and Separation of the Active Constituents from <i>Jatropha Curcas </i>L. Seeds

Liu

Pan

Liang

et al. 2015

SERDJ

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A new method of cascade extraction and separation of active constituents from Jatropha curcas L. seeds was designed to explore the multi-utilization of Jatropha oil cake. Effort has been devoted to convert the Jatropha oil cake into high value-added products. The Jatropha oil was extracted by an ultrasonic method and other active constituents were prepared by means of flash extraction and resin chromatography etc.; the Jatropha oil was analyzed by GC-MS and the contents of the active constituents were determined by UV spectrophotometry. The yields of Jatropha oil and the active constituents were as follows, Jatropha oil 37.42 g/100 g dry seeds, polysaccharide 0.46 g/100 g dry seeds (purity 75.72%), protein 2.06 g/100 g dry seeds (purity 72.61%), respectively. Furthermore, the contents of flavone was 0.90 g/100 g dry seeds, phytosterol was 0.50 g/100 g dry seeds, anthocyanin was 0.12 g/100 g dry seeds and alkaloids was 1.90 g/100 g dry seeds. Additionally, the molecular weight and antioxidant activity of polysaccharides from Jatropha curcas L. seeds were also evaluated.

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Section: Gc-ms Analysis Of Jatropha Curcas L Seeds Oilmentioning

confidence: 64%

“…Compared with reflux extraction [31] and microwave extraction [32], ultrasonic extraction showed a high yield. The Jatropha seed oil was analyzed by GC-MS and table 1 shows the content of each fatty acid methyl ester.…”

Section: Gc-ms Analysis Of Jatropha Curcas L Seeds Oilmentioning

confidence: 96%

Cascade Extraction and Separation of the Active Constituents from <i>Jatropha Curcas </i>L. Seeds

Liu

Pan

Liang

et al. 2015

SERDJ

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“…In several studies, the use of VIS-NIR spectrometry has been proposed in the development of models for the prediction of the oil content of various oilseeds: sunflower (PÉREZ-VICH et al, 1998), rapeseed (VELASCO et al, 1999a, Brassicaceae (VELASCO et al, 1999b), safflower (ELFADL et al, 2010;RUDOLPHI et al, 2012), Jatropha (VAKNIN et al, 2011) and cotton (QUAMPAH et al, 2012). However, to date there are no reports of its application on specific fruit fractions, such as palm mesocarp.…”

Section: Introductionmentioning

confidence: 99%

Prediction of oil content in the mesocarp of fruit from the macauba palm using spectrometry1

Matsimbe¹,

Motoike²,

Pinto³

et al. 2015

Rev. Ciênc. Agron.

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-In the present work a model was developed for the prediction of the oil content of the mesocarp of fruit from the macauba palm, using visible and near infrared spectrometry. Reference values were determined the by Soxhlet method. The model was calibrated using spectral data from the mesocarp of macauba fruit by partial least squares regression, considering nine latent variables. The results of the calibration series were consistent with those of the validation series, registering an The coefficient of determination between the reference method and the developed model, systematic error between the predicted values and the measured values and root mean square error, for calibration and validation with independent data, respectively, equal to 0.8223, -9.2-14 and 5.917 and 0.7760, 7.081 and -0.064. VIS-NIR spectroscopy is a viable tool in the evaluation of genotypes in breeding programs for the macauba palm.Key words: Acrocomia aculeata. Quantification of the oil. VIS-NIR model calibration. RESUMO -No presente trabalho, foi desenvolvido um modelo para a predição do teor de óleo do mesocarpo nos frutos de macaúba, usando a espectrometria do visível e infravermelho próximo. Os valores de referência foram determinados pelo método soxhlet. O modelo foi calibrado usando dados espectrais do mesocarpo dos frutos de macaúba pela regressão por mínimos quadrados parciais, considerando nove variáveis latentes. Os resultados da série da calibração foram consistentes com os da série da validação, registrando o coeficiente de determinação entre o método referencia e o modelo desenvolvido, erro sistemático entre os valores preditos e os valores mensurados e a raiz quadrada do erro médio quadrático entre o método referência e o modelo desenvolvido, de 0,8223, -9,2-14 e 5,917 e de 0,7760, -0,064 e 7,081, para a calibração e validação respectivamente. A espectrometria VIS-NIR é viável como ferramenta de avaliação de genótipos em programas do melhoramento de macaúba.Palavras-chave: Acrocomia aculeata. Quantificação do óleo. Calibração de modeloVIS-NIR.

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“…The laboratory uncertainty is one of the error sources of NIRS which leads to equations that cannot predict the contents of the sample with high accuracy and precision 5 . NIRS has been applied to fatty acid profiling in oil seeds including rapeseed 6 , peanut 7 , sesame 8 , sheanut 9 , and Jatropha curcas 10 . It has also been used to study oil content in cotton seed 11 .…”

Section: Introductionmentioning

confidence: 99%

“…It has also been used to study oil content in cotton seed 11 . Another research by Vaknin et al 10 used NIRS to develop a quick and nondestructive method to estimate the oil content, fatty acid composition (palmitic acid C16:0, stearic acid C18:0, oleic acid C18:1, and linoleic acid C18:2), and protein content of Jatropha curcas seeds and to apply the novel technique to analyse J. curcas seeds of various origins, from breeding programs to commercial plantations. Balabin and Safieva 12 found a correlation between the near infrared spectrum of a biodiesel sample and its feedstock.…”

Section: Introductionmentioning

confidence: 99%

A feasibility study of oil content and fatty acid composition of seed powder and seed oil of Pongamia pinnata by near infrared spectroscopy

Khamchum¹,

Punsuvon

Kasemsumran³

et al. 2013

ScienceAsia

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Near infrared reflectance spectroscopy (NIRS) coupled with a geometric study was used to estimate the oil content and fatty acid composition of Pongamia pinnata seed powder and seed oil. Sixty seed powders and seed oils from various sources of P. pinnata in southern Thailand were scanned by NIRS. All samples were analysed for oil content by hexane extraction and fatty acid composition by gas chromatography. Calibration equations were developed for oil content and individual fatty acids (palmitic acid C16:0, stearic acid C18:0, oleic acid C18:1, linoleic acid C18:2, and behenic acid C22:0). The results showed that NIRS was a reliable and accurate technique to estimate oil content from seed powder, as well as the concentrations of oleic, behenic, and linoleic acid in seed oil. Screening by NIRS of P. pinnata seed powders and seed oils represents a rapid, simple, and cost-effective alternative method that may be of great utility for analysing a large number of seed samples for tree breeding and plantations for the biofuel industry.

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Predicting Jatropha curcas seed-oil content, oil composition and protein content using near-infrared spectroscopy—A quick and non-destructive method

Cited by 58 publications

References 27 publications

Cascade Extraction and Separation of the Active Constituents from <i>Jatropha Curcas </i>L. Seeds

Cascade Extraction and Separation of the Active Constituents from <i>Jatropha Curcas </i>L. Seeds

Prediction of oil content in the mesocarp of fruit from the macauba palm using spectrometry1

A feasibility study of oil content and fatty acid composition of seed powder and seed oil of Pongamia pinnata by near infrared spectroscopy

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