Strategies for the direct analysis of sugar cane leaves by laser induced breakdown...
| Full text | |
| Author(s): |
Gonzaga, Fabiano Barbieri
;
Braga, Jr., Lescy Romulo
;
Sampaio, Alexandre Pimentel
;
Martins, Thiago de Souza
;
de Oliveira, Charles Giovani
;
dos Santos Pacheco, Raquel Moraes
Total Authors: 6
|
| Document type: | Journal article |
| Source: | ANALYTICAL AND BIOANALYTICAL CHEMISTRY; v. 409, n. 11, p. 3017-3024, APR 2017. |
| Web of Science Citations: | 3 |
| Abstract | |
This work presents a new method for forward variable selection and calibration and its evaluation for manganese determination in steel by laser-induced breakdown spectroscopy (LIBS). A compact and low-cost LIBS instrument was used, based on a microchip laser and a grating mini-spectrometer containing a non-intensified, non-gated, and non-cooled linear sensor array. Sixty steel samples were analyzed, with known manganese concentrations from 0.106 to 1.696 wt%. The spectra (1757 variables between 200 and 850 nm) were acquired under the continuous application of laser pulses at 100 Hz and using 80, 400, and 1000 ms integration times. The new method generated a mathematic combination of the selected variables and the results were calibrated against the manganese content by linear or quadratic regression. The best results were obtained using the spectra from all integration times together, with 31 selected variables and root mean square errors of cross-validation and prediction of 0.015 and 0.033, respectively. Compared to Jack-knife partial least squares regression, the new method presented lower prediction errors and numbers of selected variables, with the advantages of no data pretreatment and a simpler mathematic calculation. (AU) | |
| FAPESP's process: | 08/57808-1 - National Institute of Advanced Analytical Science and Technology |
| Grantee: | Celio Pasquini |
| Support type: | Research Projects - Thematic Grants |