On-line versus off-line NIRS analysis of intact olives
On-line versus off-line NIRS analysis of intact olives
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DOI：
10.1016/j.lwt.2013.11.032
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发表时间：
2014-05-01
影响因子：
6
通讯作者：
Pena-Rodriguez, Francisco
中科院分区：
文献类型：
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作者：
Salguero-Chaparro, Lourdes;Pena-Rodriguez, Francisco
为测定完整橄榄果实的品质参数(脂肪含量、水分和游离酸)，开发了可见光/近红外校准。反射光谱是在两种不同的仪器(基于二极管阵列和基于光栅单色仪的仪器)中获得的。实验室使用的是基于单色仪的光栅仪(离线分析)，而便携式二极管阵列仪器则放置在传送带装置的顶部，以模拟橄榄油厂的测量(在线分析)。采用偏最小二乘回归和最小二乘支持向量机建立校正模型。总共准备了174个样本用于校准(N=122)和验证(N=52)集。对于脂肪含量参数，采用最小二乘支持向量机回归方法，预测均方根误差(RMSEP)和残差预测偏差(RPD)值较好，而对于游离酸和水分含量，最小二乘支持向量机算法预测结果最好。所获得的结果似乎表明在线系统的可行性，而不是离线分析，以测定完整橄榄的物理化学成分。(C)2013爱思唯尔有限公司。保留所有权利。
Visible/near-infrared calibrations were developed for the determination of the quality parameters (fat content, moisture and free acidity) of intact olive fruits. The reflectance spectra were acquired in two different instruments (diode-array versus grating monochromator based instruments). The grating monochromator based instrument was used at the laboratory (off-line analysis), whereas the portable diode-array based device was placed on top of a conveyor belt set to simulate measurements in an olive oil mill plant (on-line analysis). Partial least squares (PLS) regression and least squares support vector machine (LS-SVM) were used for the development of the calibration models. A total of 174 samples were prepared for the calibration (N = 122) and validation (N = 52) sets. The root mean square error of prediction (RMSEP) and the residual predictive deviation (RPD) values were better using the diode-array instrument and applying the PLS regression method for the fat content parameter while for the free acidity and moisture content, the LS-SVM algorithm gave the best results. The results obtained seems to suggest the viability of the on-line system, instead of the off-line analysis, for the determination of physicochemical composition in intact olives. (C) 2013 Elsevier Ltd. All rights reserved.