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三种不同近红外光谱仪中用于测定汽油质量参数的校准转移方法的比较研究。

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

作者信息

Pereira Claudete Fernandes, Pimentel Maria Fernanda, Galvão Roberto Kawakami Harrop, Honorato Fernanda Araújo, Stragevitch Luiz, Martins Marcelo Nascimento

机构信息

Departamento de Engenharia Química, Universidade Federal de Pernambuco, Recife/PE, Brazil.

出版信息

Anal Chim Acta. 2008 Mar 17;611(1):41-7. doi: 10.1016/j.aca.2008.01.071. Epub 2008 Feb 7.

Abstract

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. A broad 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.

摘要

本文介绍了三种近红外光谱仪之间用于测定汽油中环烷烃和研究法辛烷值(RON)的校准转移的比较研究。比较了七种转移方法:直接标准化(DS)、分段直接标准化(PDS)、正交信号校正(OSC)、反向标准化(RS)、分段反向标准化(PRS)、斜率和偏差校正(SBC)以及模型更新(MU)。还研究了两种预处理程序,即标准正态变量变换(SNV)和多元散射校正(MSC)。讨论了每种技术合适的转移样品数量的选择,以及PDS/PRS和OSC组件中窗口大小的影响。研究中使用了一组广泛的代表巴西东北部各州的汽油样品。结果表明,使用校准转移产生的预测误差与二次仪器完全重新校准所获得的误差相当。总体而言,结果表明RS是所考虑分析问题的最佳方法。当转移样品的储存和/或物理运输不切实际时,MU更合适。本工作中进行的全面研究将对参与燃料监测网络的从业者有价值。

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