Quantitative analyses of the nitrogen concentration in compound fertilizer were performed using laser-induced breakdown spectroscopy (LIBS). Thirty-two samples were used as a calibration set, and eight samples were used as a validation set. To eliminate the matrix effect, partial least-squares regression (PLSR) and least-squares support vector regression (LS-SVR) were used to establish models. For the partial least-squares regression model, the correlation coefficients for the calibration and prediction sets were 0.837 and 0.794, respectively. While using the LS-SVR method, the correlation coefficients for the calibration and prediction sets were improved to 0.994 and 0.993, respectively. Therefore, the LS-SVR method improved the analysis accuracy. The prediction mean absolute error was 0.023%. The results indicate that LIBS coupled with LS-SVR is a reliable and accurate method for determining the nitrogen concentration in compound fertilizer.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
S. L. Cui, Mod. Agric. Sci. Technol., 5, 231–232 (2016).
Z. M. Xiao and H. J. Liang, Chem. Fertil. Ind., 42, 12–15 (2015).
C. C. Yuan and G. L. Lv, Chem. Fertil. Ind., 45, 17–18, 70 (2018).
M. R. Wang, Y. M. Yuan, and N. L. Tao, Mod. Agric. Sci. Technol., 7, 20–21 (2012).
Y. Q. Cai, J. Wang, Z. Q. Wang, F. M. Meng, and J. X. Liu, Phosphate Compound Fertil., 32, 18–19, 46 (2017).
A. C. David and L. J. Radziemski, Handbook of Laser-Induced Breakdown Spectroscopy, Cambridge University Press, Cambridge (2006).
D. C. Zhang, Z. Q. Hu, Y. B. Su, B. Hai, X. L. Zhu, and X. X. Ma, Opt. Express, 26, 18794–18802 (2018).
P. Y. Gao, P. Yang, R. Zhou, S. X. Ma, W. Zhang, Z. Q. Hao, X. Y. Li, and X. Y. Zeng, Appl. Opt., 57, 8942–8946 (2018).
C. H. Yan, J. Qi, J. Liang, T. L. Zhang, and H. Li, J. Anal. At. Spectrom., 33, 2089–2097 (2018).
H. Jull, R. Kunnemeyer, and P. Schaare, Precis. Agric., 19, 823–839 (2018).
X. Y. He, B. Q. Chen, Y. Q. Chen, R. H. Li, and F. J. Wang, J. Anal. At. Spectrom., 33, 2203–2209 (2018).
D. Anglos and V. Detalle, In: Laser-Induced Breakdown Spectroscopy, Springer (2014), pp. 531–554.
W. A. Farooq, F. N. Al-Mutairi, A. E. M. Khater, A. S. Al-Dwayyan, M. S. AlSalhi, and M. Atif, Opt. Spectrosc., 112, 874–880 (2012).
D. F. Andrade, M. A. Sperança, and E. R. Pereira Filho, Anal. Methods, 9, 5156–5164 (2017).
S. C. Yao, J. D. Lu, J. Y Li, K. Chen, J. Li, and M. R Dong, J. Anal. At. Spectrom., 25, 1733–1738 (2010).
B. S. Marangoni, K. S. G. Silva, G. Nicolodelli, G. S. Senesi, J. S. Cabral, P. R. Villas-Boas, C. S. Silva, P. C. Teixeira, A. R. A. Nogueira, V. M. Benites, and D. M. B. P. Milori, Anal. Methods, 8, 78–82 (2016).
G. Nicolodelli, G. S. Senesi, I. L.O. Perazzoli, B. S. Marangoni, V. M. Benites, and D. M. B. P. Milori, Sci. Total Environ., 565, 1116–1123 (2016).
B. H. Zhang, W. Sha, Y. C. Jiang, and Z. F. Cui, Appl. Opt., 58, 3277–3281 (2019).
N. F. Yang, N. S. Eash, J. Lee, M. Z. Martin, Y. S. Zhang, F. R. Walker, and J. E. Yang, Soil Sci., 175, 447–452 (2010).
Y. He, X. Liu, Y. Lv, F. Liu, J. Peng, T. Shen, Y. Zhao, Y. Tang, and S. Luo, Sensors, 18, Article ID 1526 (2018).
X. Liu, F. Liu, W. Huang, J. Peng, T. Shen, and Y. He, Molecules, 23, Article ID 2492 (2018).
Q. Shi, G. H. Niu, Q. Y. Lin, T. Xu, F. J. Li, and Y. X. Duan, J. Anal. At. Spectrom., 30, 2384–2393 (2015).
W. Sha, J. T. Li, W. B. Xiao, P. P. Ling, and C. P. Lu, Sensors, 19, Article ID 3277 (2019).
C. G. Ricardo, M. O. Adudelo, K. Tiels, and J. A. K. Suykens, Europ. Control Conf. (ECC) (2016).
J. B. Sirven, B. Bousquet, L. Canioni, and L. Sarger, Anal. Chem., 78, No. 5, 1462–1469 (2006).
Author information
Authors and Affiliations
Corresponding author
Additional information
Published in Zhurnal Prikladnoi Spektroskopii, Vol. 89, No. 4, pp. 541–547, July–August, 2022.
Rights and permissions
Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Lu, C., Shi, C., Dai, H. et al. Quantitative Analysis of Nitrogen in Compound Fertilizers Using Laser-Induced Breakdown Spectroscopy Coupled with Multivariate Regression. J Appl Spectrosc 89, 705–711 (2022). https://doi.org/10.1007/s10812-022-01414-5
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10812-022-01414-5