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At-Line Near-Infrared Spectroscopy for Prediction of the Solid Fat Content of Milk Fat from New Zealand Butter

机译:在线近红外光谱法预测新西兰黄油中乳脂的固体脂肪含量

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Near-infrared (NIR) spectroscopy calibrations that will allow prediction of the solid fat content (SFC) of milk fat extracted from butter by one measurement during manufacture were developed. SFC is a measure of the amount of the solid fraction of fat crystallized at a temperature expressed as a percentage (w/w). At-line SFC determinations are currently performed by nuclear magnetic resonance (NMR) spectroscopy, which involves a 16 h delay period for tempering of the milk fat at 0 °C prior to the SFC measurements, from 0 to 35 °C in a series of 5 °C increments. The NIR spectra (400-2500 nm) were obtained using a sample holder maintained at 60 °C. Accurate predictions for the SFC (%) were developed by principal component analysis (PCA) and partial least-squares (PLS) regression models to relate the NIR spectra to the corresponding NMR values. The independent validation samples (N= 22) had a standard error of prediction (SEP) of 0.385-0.762% for SFC between 0 and 25 °C, with SFC reference values ranging between 70.42 and 8.96% with a standard deviation range of 3.36-1.47. The low bias (from -0.351 to -0.025), the slopes (0.935-1.077), and the excellent predictive ability (R2; 0.923-0.978) supported the validity of these calibrations.
机译:开发了近红外(NIR)光谱校准技术,该校准技术可以通过在制造过程中进行一次测量来预测从黄油中提取的乳脂的固体脂肪含量(SFC)。 SFC是在以百分比(w / w)表示的温度下结晶的脂肪固形物含量的量度。目前,在线SFC测定是通过核磁共振(NMR)光谱进行的,这涉及到在进行SFC测量之前,在0°C下从0到35°C的一系列过程中,乳脂在0°C下回火的延迟时间为16 h。 5°C增量。使用保持在60°C的样品架获得NIR光谱(400-2500 nm)。通过主成分分析(PCA)和偏最小二乘(PLS)回归模型开发了SFC(%)的准确预测,以将NIR光谱与相应的NMR值相关联。独立验证样本(N = 22)在0至25°C之间的SFC的标准预测误差(SEP)为0.385-0.762%,SFC参考值的范围为70.42至8.96%,标准偏差范围为3.36。 1.47。低偏差(从-0.351到-0.025),斜率(0.935-1.077)和出色的预测能力(R2; 0.923-0.978)支持了这些校准的有效性。

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