Grain quality determination by means of near infrared spectroscopy in Jatropha curcas L.

Montes, Juan M.; Technow, Frank; Bohlinger, Brigitte; Becker, Klaus

doi:10.1016/j.indcrop.2012.06.054

Cited by 19 publications

(10 citation statements)

References 17 publications

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“…Montes et al 25 presented multivariate calibration models to predict several J. curcas properties, including PEs concentrations. The authors showed that PEs could be determined by NIRS for qualitative classification purposes by excluding samples with low concentrations (< 0.1 mg g -1 ).…”

Section: Multivariate Calibration Modelsmentioning

confidence: 99%

“…The NIR-PLS-OPS model obtained in our study can also be used for qualitative classification purposes. However, the model presented in this work was obtained without any sample preparation, directly on seeds, while in the model obtained by the other authors, 25 the seed was ground to obtain the NIR spectra.…”

Section: Multivariate Calibration Modelsmentioning

confidence: 99%

“…Alternatively, fast, environmentally friendly and non-destructive analyses are possible using spectroscopic techniques and multivariate calibration. 25 Near infrared spectroscopy (NIR) has been widely used to measure the quality of agricultural and food products. 26 This non-invasive spectroscopic technique can rapidly provide information on physical and chemical samples.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, concentrations between 0.00 to 10.3 mg g -1 were described containing samples from a wide variety of geographic regions around the world. 25 Ferrari et al 59 evaluated J. curcas seeds from different regions of Brazil and the PEs concentrations found ranged from 1.41 to 8.97 mg g -1 . In order to confirm the presence of PEs, individual J. curcas PEs peaks, separated by the HPLC, were evaluated for absorption spectra.…”

mentioning

confidence: 99%

“…If these parameters of measured y distance themselves from the correlation values of the random y, it is an indication that the model did not occur by chance. Figure 3e shows that the NIR-PLS-OPS model (true model) is separated from the other models, so, the true model was not obtained by chance.Montes et al 25 presented multivariate calibration models to predict several J. curcas properties, including PEs concentrations. The authors showed that PEs could be determined by NIRS for qualitative classification purposes by excluding samples with low concentrations (< 0.1 mg g -1 ).…”

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confidence: 99%

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Multivariate Calibration to Determine Phorbol Esters in Seeds of Jatropha curcas L. Using Near Infrared and Ultraviolet Spectroscopies

Roque¹,

Dias²,

Teófilo³

2017

J. Braz. Chem. Soc.

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The building of partial least squares (PLS) regression models using near infrared (NIR) and ultraviolet (UV) spectroscopies to estimate the concentrations of phorbol esters (PEs) in Jatropha curcas L. is presented. The models were built using two algorithms for variable selection, ordered predictors selection (OPS) and genetic algorithm (GA). Chromatographic analyses were performed to determine the concentrations of PEs. Spectral data were obtained from seeds and oil extract. The results of PLS models were performed by analyzing statistical parameters of quality such as root mean square error of prediction (RMSEP) and correlation coefficient of external predictions (R p ). The parameters obtained for NIR-PLS and UV-PLS models with OPS were respectively: RMSEP 0.48 and 0.22 mg g -1 and R p 0.49 and 0.96. For GA were obtained, respectively: RMSEP 0.52 and 0.28 mg g -1 and R p 0.12 and 0.95. The models built from seeds and oil extracts can be used respectively for screening and to accurately predict the PEs content. The OPS method provided simpler and more predictive models compared to those obtained by the selection of variables using the GA. Thus, the UV-PLS-OPS model can be used as an alternative method to quantification of PEs.Keywords: phorbol esters, Jatropha curcas L., multivariate calibration, near infrared, ultraviolet spectroscopy IntroductionCurrently, fossil fuels are the major energy source used by mankind. However, this has resulted in an increase in anthropogenic greenhouse gas emissions in the atmosphere that contributes to the increase in average temperature of the earth and complex changes in climate.1 Fossil fuels, such as gasoline and natural gas, are limited and will be insufficient for the world's energy demands in the near future. Biofuels, such as biodiesel, are a strategy that combines energy security and sustainability. 2,3 Biodiesel derived from vegetable seed oils is an alternative to diesel fuel as a renewable and environmentally clean source of energy. This fuel has been produced from a variety of vegetable sources, such as soybean, 4 sunflower, 5 palm oil 6 and physic nut. 7,8 In this context, Jatropha curcas L., also known as physic nut, stands out as one of the most promising non-edible oil seeds for the production of biofuel. 9,10 J. curcas is a small tree or large shrub, which belongs to the Euphorbiaceae family and has a life expectancy of up to 50 years. 11 Mexico is the center of origin and domestication of J. curcas, 8,12 but this plant spontaneously grows in different regions of Brazil and around the world, including Africa, India, Southeast Asia and China. 13 The J. curcas seed contains approximately 31% oil (ranging from 16 to 45%), 14 presenting a composition of fatty acids that provide biodiesel with excellent properties. 15 The press cake remaining after oil extraction is rich in proteins and has potential for use in animal feed, adding value to the productive chain of biodiesel. 16,17 However, the press cake contains toxic compounds, such as phorbol esters (PEs), 18 whi...

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Section: Multivariate Calibration Modelsmentioning

confidence: 99%

Section: Multivariate Calibration Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Multivariate Calibration to Determine Phorbol Esters in Seeds of Jatropha curcas L. Using Near Infrared and Ultraviolet Spectroscopies

Roque¹,

Dias²,

Teófilo³

2017

J. Braz. Chem. Soc.

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Geographic origin is not supported by the genetic variability found in a large living collection of Jatropha curcas with accessions from three continents

Maghuly

Jankowicz-Cieślak

Pabinger

et al. 2015

Biotechnology Journal

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Increasing economic interest in Jatropha curcas requires a major research focus on the genetic background and geographic origin of this non-edible biofuel crop. To determine the worldwide genetic structure of this species, amplified fragment length polymorphisms, inter simple sequence repeats, and novel single nucleotide polymorphisms (SNPs) were employed for a large collection of 907 J. curcas accessions and related species (RS) from three continents, 15 countries and 53 regions. PCoA, phenogram, and cophenetic analyses separated RS from two J. curcas groups. Accessions from Mexico, Bolivia, Paraguay, Kenya, and Ethiopia with unknown origins were found in both groups. In general, there was a considerable overlap between individuals from different regions and countries. The Bayesian approach using structure demonstrated two groups with a low genetic variation. Analysis of molecular varience revealed significant variation among individuals within populations. SNPs found by in silico analyses of Δ12 fatty acid desaturase indicated possible changes in gene expression and thus in fatty acid profiles. SNP variation was higher in the curcin gene compared to genes involved in oil production. Novel SNPs allowed separating toxic, non-toxic, and Mexican accessions. The present study confirms that human activities had a major influence on the genetic diversity of J. curcas, not only because of domestication, but also because of biased selection.

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Chuta (edible Jatropha curcas L.), the newcomer among underutilized crops: a rich source of vegetable oil and protein for human consumption

Senger¹,

Bohlinger²,

Esgaib³

et al. 2016

Eur Food Res Technol

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Grain quality determination by means of near infrared spectroscopy in Jatropha curcas L.

Cited by 19 publications

References 17 publications

Multivariate Calibration to Determine Phorbol Esters in Seeds of Jatropha curcas L. Using Near Infrared and Ultraviolet Spectroscopies

Multivariate Calibration to Determine Phorbol Esters in Seeds of Jatropha curcas L. Using Near Infrared and Ultraviolet Spectroscopies

Geographic origin is not supported by the genetic variability found in a large living collection of Jatropha curcas with accessions from three continents

Chuta (edible Jatropha curcas L.), the newcomer among underutilized crops: a rich source of vegetable oil and protein for human consumption

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