Near-Infrared Spectroscopic Measurement of Organic Matter in Soil

Tao Pan; Zhen Tao Wu; Jie Mei Chen

doi:10.4028/www.scientific.net/AMR.499.414

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 499Near-Infrared Spectroscopic Measurement of Organic...

Near-Infrared Spectroscopic Measurement of Organic Matter in Soil

Abstract:

Near-infrared (NIR) spectroscopy was successfully applied to chemical free and rapid determination of the organic matter in soil, and moving window partial least square (MWPLS) combining with Savitzky-Golay (SG) smoothing was used to the selection of NIR waveband. Thirty-five samples were randomly selected from all 97 collected soil samples as the validation set. The remaining 62 samples were divided into similar modeling calibration set (37 samples) and modeling prediction set (25 samples) based on partial least square cross-validation predictive bias (PLSPB). The selected waveband was 1896 nm to 2138 nm; the SG smoothing parameters and PLS factor OD, DP, NSP and F were 2, 6, 71 and 15, respectively; the modeling effect M-SEP and M-R_P were 0.219% and 0.944, respectively; the validating effect V-SEP and V-R_P were 0.243% and 0.878, respectively. The result provided a reliable NIR model and valuable references for designing specialized NIR instruments.

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Periodical:

Advanced Materials Research (Volume 499)

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414-418

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https://doi.org/10.4028/www.scientific.net/AMR.499.414

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April 2012

Authors:

Tao Pan, Zhen Tao Wu, Jie Mei Chen

Keywords:

NIR, Organic Matter, Soil, Waveband Selection

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References

[1] D.A. Burns and E. W. Ciurczak: Handbook of Near-infrared Analysis (Marcel Dekker Inc., New York 2001).

Google Scholar

[2] M. Confalonieri, F. Fornasier and A. Ursino: J. Near Infrared Spectrosc. Vol. 9 (2001), p.123.

Google Scholar

[3] A. Moron and D. Cozzolino: J. Near Infrared Spectrosc. Vol. 10 (2002), p.215.

Google Scholar

[4] H. Z. Gao and Q. P. Lu: Spectroscopy and Spectral Analysis Vol. 31 (2011), p.1245.

Google Scholar

[5] J. H. Jiang, R. J. Berry, H. W. Siesler and Y. Ozaki: Anal. Chem. Vol. 74 (2002), p.3555.

Google Scholar

[6] A. Savitzky and M. J. E. Golay: Anal. Chem. Vol. 36 (1964), p.1627.

Google Scholar

[7] T. Pan, A. Hashimoto, M. Kanou, K. Nakanishi and T. Kameoka: Bioprocess and Biosystems Engineering Vol. 26 (2003), p.133.

DOI: 10.1007/s00449-003-0343-z

Google Scholar

[8] T. Pan, A. Hashimoto, M. Kanou, K. Nakanishi and T. Kameoka: Japan Journal of Food Engineering Vol. 5 (2004), p.22.

Google Scholar

[9] J. M. Chen, T. Pan and X. D. Chen: Optics and Precision Engineering Vol. 14 (2006), p.1.

Google Scholar

[10] P. Cao, T. Pan and X. D. Chen: Optics and Precision Engineering Vol. 15 (2007), p. (1952).

Google Scholar

[11] J. Xie, T. Pan, J. M. Chen, H. Z. Chen and X. H. Ren: Chinese J. Anal. Chem. Vol. 38 (2010), p.342.

Google Scholar