Replicate analysis and outlier detection in multivariate NIR calibration, illustrated with biofuel analysis

被引：19
|
作者：
Lillhonga, T
Geladi, P
机构：
[1] Swedish Polytech, FIN-65201 Vaasa, Finland
[2] Swedish Univ Agr Sci, Unit Biomass Technol & Chem, SLU Robacksdalen, SE-90403 Umea, Sweden
来源：
ANALYTICA CHIMICA ACTA | 2005年 / 544卷 / 1-2期
关键词：
near-infrared spectroscopy; multivariate calibration; prediction; moisture; natural variability; at-line; off-line; outlier statistics;
D O I：
10.1016/j.aca.2005.01.057
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
A biofuel data set is used to show multivariate calibration and prediction of the vital parameter moisture content from near-infrared spectra. At-line sampling of heterogeneous biofuel materials and near-infrared spectroscopy (1050 wavelengths) gave prediction errors of 3 and 1% for the moisture reference. The calibration methodology and prediction diagnostics are presented in the paper with an emphasis of using replicates and duplicates for outlier detection. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码：177 / 183
页数：7
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