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Quick method (FT-NIR) for the determination of oil and major fatty acids content in whole achenes of milk thistle (Silybum marianum (L.) Gaertn.)
BACKGROUND Calibration models for the Fourier transform–near infrared (FT‐NIR) instrument were developed for quick and non‐destructive determination of oil and fatty acids in whole achenes of milk thistle. Samples with a range of oil and fatty acid levels were collected and their transmittance spect...
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Published in: | Journal of the science of food and agriculture 2015-08, Vol.95 (11), p.2264-2270 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | BACKGROUND
Calibration models for the Fourier transform–near infrared (FT‐NIR) instrument were developed for quick and non‐destructive determination of oil and fatty acids in whole achenes of milk thistle. Samples with a range of oil and fatty acid levels were collected and their transmittance spectra were obtained by the FT‐NIR instrument. Based on these spectra and data gained by the means of the reference method – Soxhlet extraction and gas chromatography (GC) – calibration models were created by means of partial least square (PLS) regression analysis.
RESULTS
Precision and accuracy of the calibration models was verified via the cross‐validation of validation samples whose spectra were not part of the calibration model and also according to the root mean square error of prediction (RMSEP), root mean square error of calibration (RMSEC), root mean square error of cross‐validation (RMSECV) and the validation coefficient of determination (R2). R2 for whole seeds were 0.96, 0.96, 0.83 and 0.67 and the RMSEP values were 0.76, 1.68, 1.24, 0.54 for oil, linoleic (C18:2), oleic (C18:1) and palmitic (C16:0) acids, respectively.
CONCLUSION
The calibration models are appropriate for the non‐destructive determination of oil and fatty acids levels in whole seeds of milk thistle. © 2014 Society of Chemical Industry |
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ISSN: | 0022-5142 1097-0010 |
DOI: | 10.1002/jsfa.6945 |