Evaluation of multiblock NIR/MIR PLS predictive models to detect adulteration of diesel/biodiesel blends by vegetal oil

被引：75
作者：
Gaydou, V. [1 ]
Kister, J. [1 ]
Dupuy, N. [1 ]
机构：
[1] Univ Paul Cezanne, CNRS, UMR6263, Equipe Grp Syst Chim Complexes AD2EM,ISM2, F-13397 Marseille 20, France
来源：
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 2011年 / 106卷 / 02期
关键词：
Diesel/biodiesel blends; Vegetal oil; NIR; MIR; PLS regression; Multiblock; INFRARED-SPECTROSCOPY; MULTIVARIATE; GASOLINE; ETHANOL; SULFUR; MIR;
D O I：
10.1016/j.chemolab.2010.05.002
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This work investigates the potential of using simultaneously near infrared (NIR) and mid infrared (MIR) spectroscopy for the quantification of vegetable oil in diesel/biodiesel blends. The two spectral ranges were used separately with PLS regressions. To combine the two pieces of information, first a concatenated matrix was used and then H-PLS and S-PLS models were constructed. The models were compared in term of prediction errors (RMSEP). The results obtained in NIR spectroscopy were better than the ones obtained with MIR spectroscopy (considering the influence of the pretreatment and of the selected variables range). The multiblock methodology seems to be of great interest in quantitative analysis with the simultaneous use of information from the MIR and NIR spectroscopy. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码：190 / 197
页数：8
相关论文
共 30 条
  • [1] [Anonymous], 2006, FEUILL ROUT SOURC EN, P848
  • [2] PLS generalised linear regression
    Bastien, P
    Vinzi, VE
    Tenenhaus, M
    [J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2005, 48 (01) : 17 - 46
  • [3] Berglund A, 1999, J CHEMOMETR, V13, P461, DOI 10.1002/(SICI)1099-128X(199905/08)13:3/4<461::AID-CEM555>3.0.CO
  • [4] 2-B
  • [5] An investigation of the thermal stability and sulphur tolerance of Ag/γ-Al2O3 catalysts for the SCR of NOx with hydrocarbons and hydrogen
    Breen, J. P.
    Burch, R.
    Hardacre, C.
    Hill, C. J.
    Krutzsch, B.
    Bandl-Konrad, B.
    Jobson, E.
    Cider, L.
    Blakeman, P. G.
    Peace, L. J.
    Twigg, M. V.
    Preis, M.
    Gottschling, M.
    [J]. APPLIED CATALYSIS B-ENVIRONMENTAL, 2007, 70 (1-4) : 36 - 44
  • [6] Determination of total sulfur in diesel fuel employing NIR spectroscopy and multivariate calibration
    Breitkreitz, MC
    Raimundo, IM
    Rohwedder, JJR
    Pasquini, C
    Dantas, HA
    José, GE
    Araújo, MCU
    [J]. ANALYST, 2003, 128 (09) : 1204 - 1207
  • [7] Gasoline quality prediction using gas chromatography and FTIR spectroscopy: An artificial intelligence approach
    Brudzewski, K
    Kesik, A
    Kolodziejczyk, K
    Zborowska, U
    Ulaczyk, J
    [J]. FUEL, 2006, 85 (04) : 553 - 558
  • [8] Bylesjö M, 2009, COMPREHENSIVE CHEMOMETRICS: CHEMICAL AND BIOCHEMICAL DATA ANALYSIS, VOLS 1-4, pA109
  • [9] Comparison of near-infrared and mid-infrared spectroscopy for the determination of distillation property of kerosene
    Chung, H
    Ku, MS
    Lee, JS
    [J]. VIBRATIONAL SPECTROSCOPY, 1999, 20 (02) : 155 - 163
  • [10] Chemometric analysis of Raman spectroscopic data for process control applications
    Cooper, JB
    [J]. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1999, 46 (02) : 231 - 247
123