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Optimizing the quantitative analysis of solid biomass fuel properties using laser induced breakdown spectroscopy (LIBS) coupled with a kernel partial least squares (KPLS) model

Yuan Jiang, Zhimin Lü, Xiaoxuan Chen, Ziyu Yu, Huaiqing Qin, Jinzheng Chen, Jidong Lu, Shunchun Yao

2021Analytical Methods12 citationsDOI

Abstract

A KPLS method combined with LIBS data reflects the non-linear relationships between LIBS spectra and the fuel property index being predicted.

Topics & Concepts

Laser-induced breakdown spectroscopyPartial least squares regressionBiomass (ecology)SpectroscopyAnalytical Chemistry (journal)Kernel (algebra)Biological systemMaterials scienceLaserChemistryChromatographyMathematicsOpticsPhysicsStatisticsBiologyCombinatoricsAgronomyQuantum mechanicsLaser-induced spectroscopy and plasmaThermochemical Biomass Conversion ProcessesPetroleum Processing and Analysis
Optimizing the quantitative analysis of solid biomass fuel properties using laser induced breakdown spectroscopy (LIBS) coupled with a kernel partial least squares (KPLS) model | Litcius