118
Views
4
CrossRef citations to date
0
Altmetric
Vibrational Spectroscopy

Determination of Nitrogen in Rapeseed by Fourier Transform Infrared Photoacoustic Spectroscopy and Independent Component Analysis

, , &
Pages 1150-1162 | Received 23 Jul 2014, Accepted 07 Oct 2014, Published online: 31 Dec 2014

REFERENCES

  • Al-Mbaideen, A., and M. Benaissa. 2011a. Coupling subband decomposition and independent component regression for quantitative NIR spectroscopy. Chemom. Int. Lab. Syst. 108: 112–122.
  • Al-Mbaideen, A., and M. Benaissa. 2011b. Determination of glucose concentration from NIR-spectra using independent component regression. Chemom. Int. Lab. Syst. 105: 131–135.
  • Ana, A., S. Antonio, R. Philippe, E. P. Luc, C. Jean-Paul, S. Manfred, and R. Jose. 2012. A common near infrared-based partial least squares regression model for the prediction of wood density of Pinus pinaster and Larix × euroleqis. Wood Sci. Technol. 46: 157–175.
  • Bageshwar, D. V. 2010. Photoacoustic spectroscopy and its applications - A tutorial review. Eura. J. Anal. Chem. 5: 187–203.
  • Bauer, R., H. Nieuwoudt, F. F. Bauer, J. Kossmann, K. R. Koch, and K. H. Esbensen. 2008. FTIR spectroscopy for grape and wine analysis. Anal. Chem. 80: 1371–1379.
  • Bouveresse, E., and D. L. Massart. 1996. Standardization of near-infrared spectrometric instruments: A review. Vib. Spectrosc. 11: 3–15.
  • Caiafa, C. F., E. Salerno, A. N. Proto, and L. Fiumi. 2008. Blind spectral unmixing by local maximization of non-Gaussianity. Signal Proc. 88: 50–68.
  • Cardone, M., M. Mazzoncini, S. Menini, V. Rocco, A. Senatore, M. Seggiani, and S. Vitolo. 2003. Brassica carinata as an alternative oil crop for the production of biodiesel in Italy: Agronomic evaluation, fuel production by transesterification and characterization. Biomass Bioenerg. 25: 623–636.
  • Chen, J., and X. Z. Wang. 2001. A new approach to near-infrared spectral data analysis using independent component analysis. J. Chem. Info. Comput. Sci. 41: 992–1001.
  • Choquet, M., G. Rousset, and L. Bertrand. 1986. Fourier-transform photoacoustic spectroscopy: a more complete method for quantitative analysis. Can. J. Phys. 64: 1081–1085.
  • Bjarnestad, S., and O. Dahlman. 2002. Chemical compositions of hardwood and softwood pulps employing photoacoustic Fourier transform infrared spectroscopy in combination with partial least-squares analysis. Anal. Chem. 74: 5851–5858.
  • Comon, P. 1994. Independent component analysis, a new concept? Signal Process 36: 287–314.
  • Cozzolino, D., M. J. Kwiatkowski, M. Parker, W. U. Cynkar, R. G. Dambergs, M. Gishen, and M. J. Herderich. 2004. Prediction of phenolic compounds in red wine fermentations by visible and near infrared spectroscopy. Anal. Chim. Acta 513: 73–80.
  • Dang, V. Q., N. K. Bhardwaj, V. Hoang, and K. L. Nguyen. 2007. Determination of lignin content in high-yield kraft pulps using photoacoustic rapid scan Fourier transform infrared spectroscopy. Carbohyd. Polym. 68: 489–494.
  • Du, C. W., R. Linker, and A. Shaviv. 2007. Characterization of soils using photoacoustic mid-infrared spectroscopy. Appl. Spectrosc. 61: 1063–1067.
  • Du, C. W., J. M. Zhou, H. Y. Wang, X. Q. Chen, A. N. Zhu, and J. B. Zhang. 2009. Determination of soil properties using Fourier transform mid-infrared photoacoustic spectroscopy. Vib. Spectrosc. 49: 32–37.
  • Fevotte, G., J. Calas, F. Peul, and C. Hoff. 2004. Applications of NIR spectroscopy to monitoring and analyzing the solid state during industrial crystallization processes. Int. J. Pharma. 273: 159–169.
  • Gustafsson, M. G. 2005. Independent component analysis yields chemically interpretable latent variables in multivariate regression. J. Chem. Info. Model. 45: 1244–1255.
  • Hyvarinen, A. 1999. Fast and robust fixed-point algorithms for independent component analysis. IEEE T. Neural Networks 10: 626–634.
  • Hyvarinen, A., and E. Oja. 2000. Independent component analysis: Algorithms and applications. Neural Networks 13: 411–430.
  • Jetter, K., U. Depczynski, K. Molt, and A. Niemoller. 2000. Principles and applications of wavelet transformation of chemometrics. Anal. Chim. Acta 420: 169–180.
  • Kaneko, H., M. Arakawa, and K. Funatsu. 2008. Development of a new regression analysis method using independent component analysis. J. Chem. Info. Model. 48: 534–541.
  • Kennard, R. W., and L. A. Stone. 1969. Computer aided design of experiments. Technometrics 11: 137–148.
  • Kuzmanovski, I., and S. Aleksovska. 2003. Optimization of artificial neural networks for prediction of the unit cell parameters in orthorhombic perovskites. Comparison with multiple linear regression. Chemom. Int. Lab. Syst. 67: 167–174.
  • Leardi, R. 2000. Application of genetic algorithm-PLS for feature selection in spectral data sets. J. Chemom. 14: 643–655.
  • Leardi, R., and A. L. Gonzalez. 1998. Genetic algorithms applied to feature selection in PLS regression: how and when to use them. Chemom. Int. Lab. Syst. 41: 195–207.
  • Leardi, R., M. B. Seasholtz, and R. J. Pell. 2002. Variable selection for multivariate calibration using a genetic algorithm: prediction of additive concentrations in polymer films from Fourier transform-infrared spectral data. Anal. Chim. Acta 461: 189–200.
  • Lee, J., S. J. Qin, and I. Lee. 2006. Fault detection and diagnosis based on modified independent component analysis. AIChE 52: 3501–3514.
  • Lestander, T. A., R. Leardi, and P. Geladi. 2003. Selection of near infrared wavelengths using genetic algorithms for the determination of seed moisture content. J. Near Infr. Spectrosc. 11: 433–446.
  • Letzelter, N. S., R. H. Wilson, A. D. Jones, and G. Sinnaeve. 1995. Quantitative determination of the composition of individual pea seeds by Fourier transform infrared photoacoustic spectroscopy. J. Sci. Food Agr. 67: 239–245.
  • Lu, Y., C. Du, C. Yu, and J. Zhou. 2014a. Applying infrared photoacoustic spectroscopy to determination of quality parameters of rapeseeds. Chinese J. Anal. Chem. 42: 293–297.
  • Lu, Y., C. Du, C. Yu, and J. Zhou. 2014b. Classifying rapeseed varieties using Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS). Comput. Electron. Agr. 107: 58–63.
  • Marie-Madeleine, C., S. Lina, H. Dominique, and A. Dimas. 2005. Determine of water-soluble and total extractable polyphenolics in biomass, necromass and decomposing plant material using near-infrared reflectance spectroscopy (NIRS). Soil Biol. Biochem. 37: 795–799.
  • McClelland, J. F., R. W. Jones, and S. J. Bajic. 2002. FT-IR photoacoustic spectroscopy. In J. M. Chalmers and P. R. Griffiths (Eds.), Handbook of Vibrational Spectroscopy (pp. 1231–1250). Chichester, UK: Wiley.
  • Michaelian, K. H., and Q. Wen. 2010. Photoacoustic infrared spectroscopy of solids. J. Phys.: Conf. Ser. 214: 012004.
  • Pasadakis, N., and A. A. Kardamakis. 2006. Identifying constituents in commercial gasoline using Fourier transform-infrared spectroscopy and independent component analysis. Anal. Chim. Acta 578: 250–255.
  • Pichler, A., and M. G. Sowa. 2005. Independent component analysis of photoacoustic depth profiles. J. Mol. Spectrosc. 229: 231–237.
  • Pontes, M. J. C., A. M. J. Rocha, M. F. Pimentel, and C. F. Pereira. 2011. Determining the quality of insulating oils using near infrared spectroscopy and wavelength selection. Microchem. J. 98: 254–259.
  • Rosencwaig, A. 1976. Theory of the photoacoustic effect with solids. J. Appl. Phys. 47: 64–69.
  • Schmid, T. 2006. Photoacoustic spectroscopy for process analysis. Anal. Bioanal. Chem. 384: 1071–1086.
  • Shao, X. G., W. Wang, Z. Y. Hou, and W. S. Cai. 2006. A new regression method based on independent component analysis. Talanta 69: 676–680.
  • Simonne, A. H., E. H. Simonne, and R. R. Eitenmiller. 1997. Could the Dumas method replace the Kjeldahl digestion for nitrogen and crude protein determinations in foods? J. Sci. Food Agr. 73: 39–45.
  • Viscarra Rossel, R. A., R. N. McGlynn, and A. B. McBratney. 2006. Determining the composition of mineral-organic mixes using UV-vis-NIR diffuse reflectance spectroscopy. Geoderma 137: 70–82.
  • Wang, G., Q. Ding, and Z. Hou. 2008. Independent component analysis and its applications in signal processing for analytical chemistry. Trac-Trends Anal. Chem. 27: 368–376.
  • Wang, G. Q., W. S. Cai, and X. G. Shao. 2006. A primary study on resolution of overlapping GC-MS signal using mean-field approach independent component analysis. Chemom. Int. Lab. Syst. 82: 137–144.
  • Whitley, D. 1994. A genetic algorithm tutorial. Stat. Comput. 4: 65–85.
  • Wu, D., Y. He, P. C. Nie, F. Cao, and Y. D. Bao. 2010. Hybrid variable selection in visible and near-infrared spectral analysis for non-invasive quality determination of grape juice. Anal. Chim. Acta 659: 229–237.
  • Yang, H., and J. Irudayaraj. 2002. Rapid determination of vitamin c by NIR, MIR and FT-Raman techniques. J. Pharm. Pharmacol. 54: 1247–1255.
  • Zhang, Y., A. Barber, J. Maxted, C. Lowe, R. Smith, and T. Li. 2013. The depth profiling of TiO2 pigmented coil coatings using step scan phase modulation photoacoustic FTIR. Prog. Org. Coat. 76: 131–136.
  • Zhao, C. H., F. R. Guo, and F. L. Wang. 2010. An improved independent component regression modeling and quantitative calibration procedure. AIChE 56: 1519–1535.

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.