A comparative study of calibration transfer methods for determination of gasoline quality parameters in three different near infrared spectrometers

被引:71
|
作者
Pereira, Claudete Fernandes [1 ]
Pimentel, Maria Fernanda [1 ]
Harrop Galvao, Roberto Kawakami [2 ]
Honorato, Fernanda Araujo [1 ]
Stragevitch, Luiz [1 ]
Martins, Marcelo Nascimento [2 ]
机构
[1] Univ Fed Pernambuco, Dept Engn Quim, Recife, PE, Brazil
[2] Inst Tecnol Aeronaut, Div Engn Eletron, Sao Jose Dos Campos, SP, Brazil
基金
巴西圣保罗研究基金会;
关键词
calibration transfer; standardization methods; chemometrics; near infrared spectrometry; gasoline;
D O I
10.1016/j.aca.2008.01.071
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
This work presents a comparative study of calibration transfer among three near infrared spectrometers for determination of naphthenes and RON (Research Octane Number) in gasoline. Seven transfer methods are compared: direct standardization (DS), piecewise direct standardization (PDS), orthogonal signal correction (OSC), reverse standardization (RS), piecewise reverse standardization (PRS), slope and bias correction (SBC) and model updating (MU). Two pre-treatment procedures, namely standard normal variate (SNV) and multiplicative scatter correction (MSC), are also investigated. The choice of an appropriate number of transfer samples for each technique, as well as the effect of window size in PDS/PRS and OSC components, are discussed. Abroad set of gasoline samples representative of the Northeastern states of Brazil is employed in the investigation. The results show that the use of calibration transfer yields prediction errors comparable to those obtained with complete recalibration of the secondary instrument. Overall, the results point to RS as the best method for the analytical problem under consideration. When storage and/or physical transportation of transfer samples are impractical, MU is more appropriate. The comprehensive investigation carried out in the present work will be of value for practitioners involved in networks of fuel monitoring. (c) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:41 / 47
页数:7
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