81
Views
8
CrossRef citations to date
0
Altmetric
VIBRATIONAL SPECTROSCOPY

Novel Spectral Interval Selection Method Based on Synchronous Two-Dimensional Correlation Spectroscopy

, &
Pages 340-348 | Received 30 May 2012, Accepted 02 Jul 2012, Published online: 02 Jan 2013

REFERENCES

  • Araujo , M. C. U. , T. C. B. Saldanha , R. K. H. Galvão , T. Yoneyama , H. C. Chame , and V. Visani . 2001 . The successive projections algorithm for variable selection in spectroscopic multicomponent analysis . Chemometr. Intell. Lab. Syst. 57 : 65 – 73 .
  • Du , Y. P. , Y. Z. Liang , J. H. Jiang , R. J. Berry , and Y. Ozaki . 2004 . Spectral regions selection to improve prediction ability of PLS models by changeable size moving windows partial least squares and searching combination moving window partial least squares . Anal. Chim. Acta 501 : 183 – 191 .
  • Durand , A. , O. Devos , C. Ruckebusch , and J. P. Huvenne . 2007 . Genetic algorithm optimization combined with partial least squares regression and mutual information variable selection procedures in near-infrared quantitative analysis of cotton-viscose textiles . Anal. Chim. Acta. 595 : 72 – 79 .
  • Gauchi , J.-P. , and P. Chagnon . 2001 . Comparison of selection methods of explanatory variables in PLS regression with application to manufacturing process data . Chemometr. Intell. Lab. Syst. 58 : 171 – 193 .
  • Höskuldsson , A. 2001 . Variable and subset selection in PLS regression . Chemometr. Intell. Lab. Syst. 55 : 23 – 38 .
  • Jiang , J.-H. , R. J. Berry , H. W. Siesler , and Y. Ozaki . 2002 . Wavelength interval selection in multicomponent spectral analysis by moving window partial least-squares regression with applications to mid-infrared and near-infrared spectroscopic data . Anal. Chem. 74 : 3555 – 3565 .
  • Lazraq , A. , R. Cléroyx , and J.-P. Gauchi . 2003 . Selecting both latent and explanatory variables in the PLS1 regression model . Chemometr. Intell. Lab. Syst. 66 : 117 – 126 .
  • Leardi , R. , and L. Nørgaard . 2004 . Sequential application of backward interval partial least squares and genetic algorithms for the selection of relevant spectral regions . J. Chemometr. 18 : 486 – 497 .
  • Nadler , B. , and Coifman , R. R. 2005 . The prediction error in CLS and PLS: the importance of feature selection prior to multivariate calibration . J. Chemometr. 19 : 107 – 118 .
  • Noda , I. 1993 . Generalized two-dimensional correlation method applicable to Infrared, Raman and other types of spectroscopy . Appl. Spectrosc. 47 : 1329 – 1336 .
  • Noda , I. 2000 . Determination of two-dimensional correlation spectra using the Hilbert transform . Appl. Spectrosc. 54 : 236A .
  • Nørgaard , L. , A. Saudland , J. Wagner , J. P. Nielsen , L. Munck , and S. B. Engelsen . 2000 . Interval partial least-squares regression (iPLS): A comparative chemometric study with an example from near-infrared spectroscopy . Appl. Spectrosc. 54 : 413 – 419 .
  • Ozaki , Y. , B. Czarnik-Matusewicz , and S. Šašic . 2001 . Two-dimensional correlation spectroscopy in analytical chemistry . Anal. Sci. 17 : i663 – i666 .
  • Rossi , F. , D. Francois , V. Wertz , M. Meurens , and M. Verleysen . 2007. Fast selection of spectral variables with B-spline compression. Chemometr. Intell. Lab. Syst. 86: 208–218.
  • Rossi , F. , A. Lendasse , D. Francois , V. Wertz , and M. Verleysen . 2006 . Mutual information for the selection of relevant variables in spectrometric nonlinear modeling . Chemometr. Intell. Lab. Syst. 80 : 215 – 226 .
  • Šašić , S. , A. Muszynski , and Y. Ozaki . 2001 . New insight into mathematical background of generalized two-dimensional correlation spectroscopy and the influence of mean normalization pretreatment on two-dimensional correlation spectra . Appl. Spectrosc. 55 : 343 – 349 .
  • Spiegelman , C. H. , M. J. McShane , M. J. Goetz , M. Motamedi , Q. L. Yue , and G.-L. Coté . 1998 . Theoretical justification of wavelength selection in PLS calibration: development of a new algorithm . Anal. Chem. 70 : 35 – 44 .
  • Xu , L. , J.-H. Jiang , Y.-P. Zhou , H.-L. Wu , G.-L. Shen , and R.-Q. Yu . 2007 . MCCV stacked regression for model combination and fast spectral interval selection in multivariate calibration . Chemometr. Intell. Lab. Syst. 87 : 226 – 230 .
  • Zou , X. B. , J. W. Zhao , X. Y. Huang , and Y. X. Li . 2007 . Use of FT-NIR spectroscopy in non-invasive measurements of soluble solid contents (SSC) of ‘Fuji’ apple based on different PLS models . Chemometr. Intell. Lab. Syst. 87 : 43 – 51 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.