Acidity measurement of iron ore powders using laser-induced breakdown spectroscopy with partial least squares regression

Z. Q. Hao, C. M. Li, M. Shen, X. Y. Yang, K. H. Li, L. B. Guo, X. Y. Li, Y. F. Lu, X. Y. Zeng

Research output: Contribution to journalArticle

26 Citations (Scopus)

Abstract

Laser-induced breakdown spectroscopy (LIBS) with partial least squares regression (PLSR) has been applied to measuring the acidity of iron ore, which can be defined by the concentrations of oxides: CaO, MgO, Al2O3, and SiO2. With the conventional internal standard calibration, it is difficult to establish the calibration curves of CaO, MgO, Al2O3, and SiO2 in iron ore due to the serious matrix effects. PLSR is effective to address this problem due to its excellent performance in compensating the matrix effects. In this work, fifty samples were used to construct the PLSR calibration models for the above-mentioned oxides. These calibration models were validated by the 10-fold cross-validation method with the minimum root-mean-square errors (RMSE). Another ten samples were used as a test set. The acidities were calculated according to the estimated concentrations of CaO, MgO, Al2O3, and SiO2 using the PLSR models. The average relative error (ARE) and RMSE of the acidity achieved 3.65% and 0.0048, respectively, for the test samples.

Original languageEnglish (US)
Pages (from-to)7795-7801
Number of pages7
JournalOptics Express
Volume23
Issue number6
DOIs
StatePublished - Mar 23 2015

Fingerprint

iron ores
laser-induced breakdown spectroscopy
acidity
regression analysis
root-mean-square errors
oxides
matrices
curves

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

Cite this

Hao, Z. Q., Li, C. M., Shen, M., Yang, X. Y., Li, K. H., Guo, L. B., ... Zeng, X. Y. (2015). Acidity measurement of iron ore powders using laser-induced breakdown spectroscopy with partial least squares regression. Optics Express, 23(6), 7795-7801. https://doi.org/10.1364/OE.23.007795

Acidity measurement of iron ore powders using laser-induced breakdown spectroscopy with partial least squares regression. / Hao, Z. Q.; Li, C. M.; Shen, M.; Yang, X. Y.; Li, K. H.; Guo, L. B.; Li, X. Y.; Lu, Y. F.; Zeng, X. Y.

In: Optics Express, Vol. 23, No. 6, 23.03.2015, p. 7795-7801.

Research output: Contribution to journalArticle

Hao, Z. Q. ; Li, C. M. ; Shen, M. ; Yang, X. Y. ; Li, K. H. ; Guo, L. B. ; Li, X. Y. ; Lu, Y. F. ; Zeng, X. Y. / Acidity measurement of iron ore powders using laser-induced breakdown spectroscopy with partial least squares regression. In: Optics Express. 2015 ; Vol. 23, No. 6. pp. 7795-7801.
@article{a9e9178432e9473480ef88fecbfe53dc,
title = "Acidity measurement of iron ore powders using laser-induced breakdown spectroscopy with partial least squares regression",
abstract = "Laser-induced breakdown spectroscopy (LIBS) with partial least squares regression (PLSR) has been applied to measuring the acidity of iron ore, which can be defined by the concentrations of oxides: CaO, MgO, Al2O3, and SiO2. With the conventional internal standard calibration, it is difficult to establish the calibration curves of CaO, MgO, Al2O3, and SiO2 in iron ore due to the serious matrix effects. PLSR is effective to address this problem due to its excellent performance in compensating the matrix effects. In this work, fifty samples were used to construct the PLSR calibration models for the above-mentioned oxides. These calibration models were validated by the 10-fold cross-validation method with the minimum root-mean-square errors (RMSE). Another ten samples were used as a test set. The acidities were calculated according to the estimated concentrations of CaO, MgO, Al2O3, and SiO2 using the PLSR models. The average relative error (ARE) and RMSE of the acidity achieved 3.65{\%} and 0.0048, respectively, for the test samples.",
author = "Hao, {Z. Q.} and Li, {C. M.} and M. Shen and Yang, {X. Y.} and Li, {K. H.} and Guo, {L. B.} and Li, {X. Y.} and Lu, {Y. F.} and Zeng, {X. Y.}",
year = "2015",
month = "3",
day = "23",
doi = "10.1364/OE.23.007795",
language = "English (US)",
volume = "23",
pages = "7795--7801",
journal = "Optics Express",
issn = "1094-4087",
publisher = "The Optical Society",
number = "6",

}

TY - JOUR

T1 - Acidity measurement of iron ore powders using laser-induced breakdown spectroscopy with partial least squares regression

AU - Hao, Z. Q.

AU - Li, C. M.

AU - Shen, M.

AU - Yang, X. Y.

AU - Li, K. H.

AU - Guo, L. B.

AU - Li, X. Y.

AU - Lu, Y. F.

AU - Zeng, X. Y.

PY - 2015/3/23

Y1 - 2015/3/23

N2 - Laser-induced breakdown spectroscopy (LIBS) with partial least squares regression (PLSR) has been applied to measuring the acidity of iron ore, which can be defined by the concentrations of oxides: CaO, MgO, Al2O3, and SiO2. With the conventional internal standard calibration, it is difficult to establish the calibration curves of CaO, MgO, Al2O3, and SiO2 in iron ore due to the serious matrix effects. PLSR is effective to address this problem due to its excellent performance in compensating the matrix effects. In this work, fifty samples were used to construct the PLSR calibration models for the above-mentioned oxides. These calibration models were validated by the 10-fold cross-validation method with the minimum root-mean-square errors (RMSE). Another ten samples were used as a test set. The acidities were calculated according to the estimated concentrations of CaO, MgO, Al2O3, and SiO2 using the PLSR models. The average relative error (ARE) and RMSE of the acidity achieved 3.65% and 0.0048, respectively, for the test samples.

AB - Laser-induced breakdown spectroscopy (LIBS) with partial least squares regression (PLSR) has been applied to measuring the acidity of iron ore, which can be defined by the concentrations of oxides: CaO, MgO, Al2O3, and SiO2. With the conventional internal standard calibration, it is difficult to establish the calibration curves of CaO, MgO, Al2O3, and SiO2 in iron ore due to the serious matrix effects. PLSR is effective to address this problem due to its excellent performance in compensating the matrix effects. In this work, fifty samples were used to construct the PLSR calibration models for the above-mentioned oxides. These calibration models were validated by the 10-fold cross-validation method with the minimum root-mean-square errors (RMSE). Another ten samples were used as a test set. The acidities were calculated according to the estimated concentrations of CaO, MgO, Al2O3, and SiO2 using the PLSR models. The average relative error (ARE) and RMSE of the acidity achieved 3.65% and 0.0048, respectively, for the test samples.

UR - http://www.scopus.com/inward/record.url?scp=84936869557&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84936869557&partnerID=8YFLogxK

U2 - 10.1364/OE.23.007795

DO - 10.1364/OE.23.007795

M3 - Article

C2 - 25837118

AN - SCOPUS:84936869557

VL - 23

SP - 7795

EP - 7801

JO - Optics Express

JF - Optics Express

SN - 1094-4087

IS - 6

ER -