Enhancement of Near Infrared Spectroscopy Determination of Water Contents in Oils Using Oil-Water Stabilization and Support Vector Regression
10.11895/j.issn.0253-3820.140370
- VernacularTitle:利用油水稳定化和支持向量回归增强近红外光谱测定油中水分的方法
- Author:
Qibing YU
;
Di SU
;
Zhaojie JIAO
;
Chuan LI
- Publication Type:Journal Article
- Keywords:
Oil-water stabilization;
Near infrared spectroscopy;
Successive projection algorithm;
Support vector regression;
Water content in oil
- From:
Chinese Journal of Analytical Chemistry
2014;(9):1364-1368
- CountryChina
- Language:Chinese
-
Abstract:
Near infrared spectroscopy ( NIRS) is capable of determining water contents in oils. However, too much moisture contents in the oils will scatter rather than absorb the NIRS. This may cause greater measurement error. For this reason, a nonionic surfactant (Span-80) was screened to make the water in the oils evenly dispersed into small droplets. The NIRS analysis was subsequently employed to build support vector regression ( SVR ) model of the water content. In this experiments, the upper limit of the water content determination was improved from the conventional 0. 1% to 1. 0% ( V/V) by the oil-water stabilization. Applying successive projection algorithm, 15 valid variables (2. 9% of the original ones) from 511 NIRS variables were selected. With the proposed SVR model, the measurement precision criteria for the validation dataset were root mean squares error percentage 2 . 93%, correlation coefficient 0 . 9944 , and relative percent derivation 9 . 4732%.
