Quantitative Analysis of Nitrogen in Compound Fertilizers Using Laser-Induced Breakdown Spectroscopy Coupled with Multivariate Regression
Abstract
Quantitative analyses of the nitrogen concentration in compound fertilizer were performed using laserinduced 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 leastsquares 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.
Keywords
About the Authors
C. LuChina
Hefei
Ch. Shi
China
Hefei
H. Dai
China
Hefei
G. Lv
China
Hefei
Zh. Zhang
China
Hefei
F. Jin
China
Hefei
B. Hu
China
Hefei
References
1. S. L. Cui, Mod. Agric. Sci. Technol., 5, 231–232 (2016).
2. Z. M. Xiao, H. J. Liang, Chem. Fertil. Ind., 42, 12–15 (2015).
3. C. C. Yuan, G. L. Lv, Chem. Fertil. Ind., 45, 17–18, 70 (2018).
4. M. R. Wang, Y. M. Yuan, N. L. Tao, Mod. Agric. Sci. Technol., 7, 20–21 (2012).
5. Y. Q. Cai, J. Wang, Z. Q. Wang, F. M. Meng, J. X. Liu, Phosphate Compound Fertil., 32, 18–19, 46 (2017).
6. A. C. David, L. J. Radziemski, Handbook of Laser-Induced Breakdown Spectroscopy, Cambridge University Press, Cambridge (2006).
7. D. C. Zhang, Z. Q. Hu, Y. B. Su, B. Hai, X. L. Zhu, X. X. Ma, Opt. Express, 26, 18794–18802 (2018).
8. P. Y. Gao, P. Yang, R. Zhou, S. X. Ma, W. Zhang, Z. Q. Hao, X. Y. Li, X. Y. Zeng, Appl. Opt., 57, 8942–8946 (2018).
9. C. H. Yan, J. Qi, J. Liang, T. L. Zhang, H. Li, J. Anal. At. Spectrom., 33, 2089–2097 (2018).
10. H. Jull, R. Kunnemeyer, P. Schaare, Precis. Agric., 19, 823–839 (2018).
11. X. Y. He, B. Q. Chen, Y. Q. Chen, R. H. Li, F. J. Wang, J. Anal. At. Spectrom., 33, 2203–2209 (2018).
12. D. Anglos, V. Detalle, In: Laser-Induced Breakdown Spectroscopy, Springer, 531–554 (2014).
13. W. A. Farooq, F. N. Al-Mutairi, A. E. M. Khater, A. S. Al-Dwayyan, M. S. AlSalhi, M. Atif, Opt. Spectrosc., 112, 874–880 (2012).
14. D. F. Andrade, M. A. Sperança, E. R. Pereira Filho, Anal. Methods, 9, 5156–5164 (2017).
15. S. C. Yao, J. D. Lu, J. Y Li, K. Chen, J. Li, M. R Dong, J. Anal. At. Spectrom., 25, 1733–1738 (2010).
16. 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, D. M. B. P. Milori, Anal. Methods, 8, 78–82 (2016).
17. G. Nicolodelli, G. S. Senesi, I. L.O. Perazzoli, B. S. Marangoni, V. M. Benites, D. M. B. P. Milori, Sci. Total Environ., 565, 1116–1123 (2016).
18. B. H. Zhang, W. Sha, Y. C. Jiang, Z. F. Cui, Appl. Opt., 58, 3277–3281 (2019).
19. N. F. Yang, N. S. Eash, J. Lee, M. Z. Martin, Y. S. Zhang, F. R. Walker, J. E. Yang, Soil Sci., 175, 447–452 (2010).
20. Y. He, X. Liu, Y. Lv, F. Liu, J. Peng, T. Shen, Y. Zhao, Y. Tang, S. Luo, Sensors, 18, 1526 (2018).
21. X. Liu, F. Liu, W. Huang, J. Peng, T. Shen, Y. He, Molecules, 23, 2492 (2018).
22. Q. Shi, G. H. Niu, Q. Y. Lin, T. Xu, F. J. Li, Y. X. Duan, J. Anal. At. Spectrom., 30, 2384–2393 (2015).
23. W. Sha, J. T. Li, W. B. Xiao, P. P. Ling, C. P. Lu, Sensors, 19, 3277 (2019).
24. C. G. Ricardo, M. O. Adudelo, K. Tiels, J. A. K. Suykens, Europ. Control Conf. (ECC) (2016).
25. J. B. Sirven, B. Bousquet, L. Canioni, L. Sarger, Anal. Chem., 78, No. 5, 1462–1469 (2006).
Review
For citations:
Lu C., Shi Ch., Dai H., Lv G., Zhang Zh., Jin F., Hu B. Quantitative Analysis of Nitrogen in Compound Fertilizers Using Laser-Induced Breakdown Spectroscopy Coupled with Multivariate Regression. Zhurnal Prikladnoii Spektroskopii. 2022;89(4):541-547.