An Improved Sub-Model PLSR Quantitative Analysis Method Based on SVM Classifier for ChemCam Laser-Induced Breakdown Spectroscopy
نویسندگان
چکیده
Laser-induced breakdown spectroscopy (LIBS) is a powerful tool for qualitative and quantitative analysis. Component analysis significant issue the LIBS instrument onboard Mars Science Laboratory (MSL) rover Curiosity ChemCam SuperCam on 2020 rover. The partial least squares (PLS) sub-model strategy one of outstanding multivariate methods calibration modeling, which firstly developed by science team. We innovatively used support vector machine (SVM) classifier to select corresponding sub-model. Then conventional regression approaches (PLSR) was utilized as prove that our selecting method feasible, effective, well-performed. For eight oxides, i.e., SiO2, TiO2, Al2O3, FeOT, MgO, CaO, Na2O, K2O, modified SVM-PLSR blended 34.8% 62.4% lower than root mean square error prediction (RMSEP) full model method. In order avoid SVM classifiers classifying spectrum into an incorrect class, optimized proposed worked well in PLSR sub-models.
منابع مشابه
Quantitative elemental analysis by laser-induced breakdown spectroscopy
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Laser-induced breakdown spectroscopy (LIBS) is a powerful analytical technique that can be used for the detection and characterization of materials. In LIBS, a focused laser beam is used to generate a plasma plume on the surface of solid and liquid samples or inside the sample volume of gases, liquids, and aerosols. Each excited atom in the plasma emits a unique set of spectral lines, particula...
متن کاملLaser Induced Breakdown Spectroscopy
Esta revisão descreve os aspectos fundamentais, a instrumentação, as aplicações e tendências futuras de uma técnica analítica que se encontra em seu estágio de consolidação e que está em vias de estabelecer o seu nicho entre as técnicas espectrofotométricas modernas. A técnica é denominada Espectroscopia de Emissão em Plasma Induzido por Laser (em inglês, Laser Induced Breakdown Spectroscopy, L...
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ژورنال
عنوان ژورنال: Symmetry
سال: 2021
ISSN: ['0865-4824', '2226-1877']
DOI: https://doi.org/10.3390/sym13020319