2023
DOI: 10.1016/j.sab.2023.106758
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Diagnosis and correction methods for spectral interference in the framework of LIBS imaging

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Cited by 7 publications
(4 citation statements)
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“…of Cl. Likewise, diagnosis and spectral correction methods for LIBS imaging were developed by Duponchel et al 118 The authors were able to diagnose the presence of a potential spectral interference and to correct it using PCA and multivariate curve resolution (MCR)-ALS methods, respectively. This method was applied to LIBS imaging dataset obtained from the analysis of a complex rock.…”
Section: Laser Induced Breakdown Spectroscopymentioning
confidence: 99%
See 1 more Smart Citation
“…of Cl. Likewise, diagnosis and spectral correction methods for LIBS imaging were developed by Duponchel et al 118 The authors were able to diagnose the presence of a potential spectral interference and to correct it using PCA and multivariate curve resolution (MCR)-ALS methods, respectively. This method was applied to LIBS imaging dataset obtained from the analysis of a complex rock.…”
Section: Laser Induced Breakdown Spectroscopymentioning
confidence: 99%
“…Sb-doping was also used to constrain the mass bias correction with the lasergenerated aerosol being combined with an Sb aerosol in a wet plasma spray chamber. Repeated analysis estimated that the intermediate precision for d 122 Sn/ 118 Sn was ± 0.12&. Zhang et al 166 took the approach of synthesising a homogenous cassiterite RM.…”
Section: Stable Isotope Ratio Studiesmentioning
confidence: 99%
“…Like any spectroscopy-based imaging technique, the wealth of chemical information contained within a LIBS spectrum quickly necessitated the development of chemometric tools to extract and leverage it . As a result, all the typical multivariate tools in chemometrics (which simultaneously leverage the thousands of wavelengths in a LIBS spectrum), such as exploratory methods, clustering, or signal unmixing, have been applied across various fields and complex sample sets. The vast majority of these approaches are built upon leveraging the variance expressed in the spectral data set.…”
Section: Introductionmentioning
confidence: 99%
“…23,24 However, the LIBS technique faces several critical challenges due to the complex of the spatial-temporal evolution of plasma. These challenges include matrix effects, 25 spectral interference, [26][27][28] and self-absorption 29 which hinders the further development and application of this technology. Compared to traditional elemental analysis technologies such as inductively coupled plasma-mass spectrometry (ICP-MS), 16 X-ray fluorescence spectrometry (XRF), 17 and electron probe micro-analysis (EPMA), 18 LIBS still exhibits lower accuracy in quantitative analysis, primarily due to the self-absorption effect.…”
Section: Introductionmentioning
confidence: 99%