期刊
ANALYTICAL LETTERS
卷 46, 期 18, 页码 2879-2889出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/00032719.2013.828299
关键词
ATR-FTIR; Backward iPLS; Basic nitrogen; Chemometrics; Crude oil residues; Interval PLS; Synergy iPLS
资金
- INCT - Bioanalitica
- CNPq
- CAPES
- FAPERGS
- CENPES/PETROBRAS
A method for basic nitrogen determination in residues of crude oil distillation using infrared spectroscopy and chemometrics algorithms was developed. Interval partial least squares, synergy interval partial least squares, and backward interval partial least squares were evaluated for calibration model construction. The samples were divided into a calibration and prediction set containing 40 and 15 samples, respectively. The first derivative with a Savitzky-Golay filter and the mean centered data showed the best results and were used in all calibration models. The backward interval partial least squares algorithm with spectra divided in 60 intervals and combinations of 4 intervals (1407 to 1372; 1117 to 1082; 971 to 936; 914 to 879cm(-1)) showed the best root mean square error of prediction of 0.016wt%. This calibration model displayed a suitable correlation coefficient between reference and predicted values.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据