2015
DOI: 10.1590/s1806-66902015000100003
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Prediction of oil content in the mesocarp of fruit from the macauba palm using spectrometry1

Abstract: -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 determi… Show more

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Cited by 12 publications
(12 citation statements)
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References 15 publications
(26 reference statements)
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“…Sample variability including physical size and range of parameter value is the important aspect for NIR spectroscopy calibration. Matsimbe et al 27 and Blanco et al 28 reported that NIR spectroscopy is related to the sample physical state where non-homogeneous sample state potentially provides inconsistency of NIR spectra and prediction. Furthermore, in spectrometry, the variability of spectra is influenced by the physical effect of light and the state of the sample.…”
Section: Variability In Sample Type and Oil Contentmentioning
confidence: 99%
See 1 more Smart Citation
“…Sample variability including physical size and range of parameter value is the important aspect for NIR spectroscopy calibration. Matsimbe et al 27 and Blanco et al 28 reported that NIR spectroscopy is related to the sample physical state where non-homogeneous sample state potentially provides inconsistency of NIR spectra and prediction. Furthermore, in spectrometry, the variability of spectra is influenced by the physical effect of light and the state of the sample.…”
Section: Variability In Sample Type and Oil Contentmentioning
confidence: 99%
“…To counter the influence of moisture and particle size variations in this study, the samples were conditioned through drying and grinding in order to obtain more homogeneous samples with stable NIR spectra and a relatively large number (>1000) of samples were studied to develop good calibrations. 27 PCA analysis allowed discrimination between normal data population and outlier samples. Only 21 (2.07%) mesocarp and 8 (0.81%) kernel samples had GH > 3 and were defined as outlier samples.…”
Section: Variability In Sample Type and Oil Contentmentioning
confidence: 99%
“…Once the optical properties obtained on the surface of the palm tree fruits are used as an indicator of maturation, and the oil contents contained in the mesocarp of the fruits are directly associated to the point of physiological maturation. The different spectral responses can be used to estimate the amount of oil (Saeed et al, 2012, Matsimbe et al, 2015, Costa et al, 2017.…”
Section: Introductionmentioning
confidence: 99%
“…Matsimbe et al (2015) used the spectroscopy of infrared and near infrared (VIS-NIR) applied to the macaw palm fruit mesocarp to estimate oil content. Although promising, these results still limit the measurement of the oil content without destroying the fruit, once the VIS-NIR models did not obtain significant results when applied directly in the epicarp.…”
Section: Introductionmentioning
confidence: 99%