Koláčková Pavla, Růžičková Gabriela, Gregor Tomáš, Šišperová Eliška
Department of Crop Science, Breeding and Plant Medicine, Faculty of Agronomy, Mendel University in Brno, 613 00, Brno, Czech Republic.
Department of Food Technology, Faculty of Agronomy, Mendel University in Brno, Zemědělská 1, Czech Republic.
J Sci Food Agric. 2015 Aug 30;95(11):2264-70. doi: 10.1002/jsfa.6945. Epub 2014 Nov 11.
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.
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 (R(2) ). R(2) 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.
The calibration models are appropriate for the non-destructive determination of oil and fatty acids levels in whole seeds of milk thistle.
开发了傅里叶变换近红外(FT-NIR)仪器的校准模型,用于快速无损测定水飞蓟全瘦果中的油和脂肪酸。收集了一系列油和脂肪酸水平的样品,并通过FT-NIR仪器获得其透射光谱。基于这些光谱以及通过参考方法(索氏提取和气相色谱法(GC))获得的数据,通过偏最小二乘(PLS)回归分析创建了校准模型。
校准模型的精密度和准确性通过对其光谱不属于校准模型的验证样品进行交叉验证,并根据预测均方根误差(RMSEP)、校准均方根误差(RMSEC)、交叉验证均方根误差(RMSECV)和验证决定系数(R²)进行验证。全种子的油、亚油酸(C18:2)、油酸(C18:1)和棕榈酸(C16:0)的R²分别为0.96、0.96、0.83和0.67,RMSEP值分别为0.76、1.68、1.24、0.54。
校准模型适用于水飞蓟全种子中油和脂肪酸水平的无损测定。