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Campanella B, Poggialini F, Legnaioli S, Cocciaro B, Lorenzetti G, Raneri S, Palleschi V. Commentary: Comments on: "Accuracy improvement of quantitative analysis for major elements in laser-induced breakdown spectroscopy using single-sample calibration" by Rui Yuan et al. [Anal. Chim. Acta 1064 (2019) 11-16]. Anal Chim Acta 2023; 1259:341180. [PMID: 37100475 DOI: 10.1016/j.aca.2023.341180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 04/05/2023] [Indexed: 04/28/2023]
Affiliation(s)
- B Campanella
- Applied and Laser Spectroscopy Laboratory, Institute of Chemistry of Organometallic Compounds, National Research Council, Pisa, Italy.
| | - F Poggialini
- Applied and Laser Spectroscopy Laboratory, Institute of Chemistry of Organometallic Compounds, National Research Council, Pisa, Italy.
| | - S Legnaioli
- Applied and Laser Spectroscopy Laboratory, Institute of Chemistry of Organometallic Compounds, National Research Council, Pisa, Italy.
| | - B Cocciaro
- Applied and Laser Spectroscopy Laboratory, Institute of Chemistry of Organometallic Compounds, National Research Council, Pisa, Italy.
| | - G Lorenzetti
- Applied and Laser Spectroscopy Laboratory, Institute of Chemistry of Organometallic Compounds, National Research Council, Pisa, Italy.
| | - S Raneri
- Applied and Laser Spectroscopy Laboratory, Institute of Chemistry of Organometallic Compounds, National Research Council, Pisa, Italy.
| | - V Palleschi
- Applied and Laser Spectroscopy Laboratory, Institute of Chemistry of Organometallic Compounds, National Research Council, Pisa, Italy.
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Poggialini F, Campanella B, Legnaioli S, Pagnotta S, Raneri S, Palleschi V. Improvement of the performances of a commercial hand-held laser-induced breakdown spectroscopy instrument for steel analysis using multiple artificial neural networks. Rev Sci Instrum 2020; 91:073111. [PMID: 32752860 DOI: 10.1063/5.0012669] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Accepted: 07/06/2020] [Indexed: 06/11/2023]
Abstract
In this article, we present a study on the optimization of the analytical performance of a commercial hand-held laser-induced breakdown spectroscopy instrument for steel analysis. We show how the performances of the instrument can be substantially improved using a non-linear calibration approach based on a set of Artificial Neural Networks (ANNs), one optimized for the determination of the major elements of the alloy, and the others specialized for the analysis of minor components. Tests of the instrument on steel samples used for instrument internal calibration demonstrate a comparable accuracy with the results of the ANNs, while the latter are considerably more accurate when unknown samples, not used for calibration/training, are tested.
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Affiliation(s)
- F Poggialini
- Applied and Laser Spectroscopy Laboratory, Institute of Chemistry of Organometallic Compounds, Area della Ricerca del CNR, Via G. Moruzzi, 1, 56124 Pisa, Italy
| | - B Campanella
- Applied and Laser Spectroscopy Laboratory, Institute of Chemistry of Organometallic Compounds, Area della Ricerca del CNR, Via G. Moruzzi, 1, 56124 Pisa, Italy
| | - S Legnaioli
- Applied and Laser Spectroscopy Laboratory, Institute of Chemistry of Organometallic Compounds, Area della Ricerca del CNR, Via G. Moruzzi, 1, 56124 Pisa, Italy
| | - S Pagnotta
- Earth Science Department, University of Pisa, Via S. Maria, 53, 56126 Pisa, Italy
| | - S Raneri
- Applied and Laser Spectroscopy Laboratory, Institute of Chemistry of Organometallic Compounds, Area della Ricerca del CNR, Via G. Moruzzi, 1, 56124 Pisa, Italy
| | - V Palleschi
- Applied and Laser Spectroscopy Laboratory, Institute of Chemistry of Organometallic Compounds, Area della Ricerca del CNR, Via G. Moruzzi, 1, 56124 Pisa, Italy
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