The influence of multivariate analysis methods and target grain size on the accuracy of remote quantitative chemical analysis of rocks using laser induced breakdown spectroscopy

Anderson, R. B.; Morris, R. V.; Clegg, S. M.; Bell, James F.; Wiens, R. C.; Humphries, S. D.; Mertzman, Stanley A.; Graff, T. G.; McInroy, R. E.

doi:10.1016/j.icarus.2011.07.034

Cited by 88 publications

(46 citation statements)

References 34 publications

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“…A total of 160 single-shot spectra were collected from four analysis points (40 shots at each point) on each sample. While four analysis locations are sufficient for homogenized samples, more locations are anticipated to be required when analyzing an unprepared rock [28].…”

Section: A Instrument Description and Data Collectionmentioning

confidence: 99%

Comparison of two partial least squares-discriminant analysis algorithms for identifying geological samples with the ChemCam laser-induced breakdown spectroscopy instrument

et al. 2012

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ChemCam, a laser-induced breakdown spectroscopy (LIBS) instrument on the Mars Science Laboratory rover, will analyze the chemistry of the martian surface beginning in 2012. Prior to integration on the rover, the ChemCam instrument collected data on a variety of rock types to provide a training set for analysis of data from Mars. Models based on calibration data can be used to classify rocks via multivariate statistical techniques such as partial least squares-discriminant analysis (PLS-DA). In this study, we employ a version of PLS-DA in which modeling is applied in a defined classification flow to a variety of geological materials and compare the results with the traditional PLS-DA technique. Results show that the modified algorithm is more effective at classifying samples.

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Section: A Instrument Description and Data Collectionmentioning

confidence: 99%

Comparison of two partial least squares-discriminant analysis algorithms for identifying geological samples with the ChemCam laser-induced breakdown spectroscopy instrument

et al. 2012

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“…It has been applied to many fields of analysis, such as soil [55,65,66], steel [67][68][69], glass [50], rock [70], iron ore [63] and coal [71,72]. The rest of the analysis methods are PCR [50,73,74], LASSO [75,76], kNN [77], ANN [78][79][80][81], SVM [82,83] and so on. PLS has been implemented either to calculate the concentrations of a single element (PLS-1) or to simultaneously calculate the concentrations of more than one element (PLS-2).…”

Section: The Comparison Of Calibration Methodsmentioning

confidence: 99%

Calibration Methods of Laser-Induced Breakdown Spectroscopy

Fu¹,

Jia²,

Wang³

et al. 2018

Calibration and Validation of Analytical Methods - A Sampling of Current Approaches

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Laser-induced breakdown spectroscopy (LIBS) has gained great attention over the past two decades due to its many advantages, such as needless sample preparation, capability of remote measurement and fast multielement simultaneous analysis. However, because of its inherent uncertainty features of plasma, it is still a big challenge for LIBS community worldwide to realize high sensitivity and accurate quantitative analysis. Currently, many chemometric analytical methods have been applied to LIBS calibration analysis, including univariate regression, multivariate regression, principal component regression (PCR), partial least squares regression (PLSR) and so on. In addition, appropriate sample and spectral pretreatment can effectively improve the analytical performance (i.e., limit of detection (LOD), accuracy and repeatability) of LIBS. In this chapter, we briefly summarize the progress of these calibration methods and their applications on LIBS and provide our recommendations.

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“…Partial Least Squares (PLS) regression (e.g., Geladi, 1986) is commonly used in multivariate calibration for chemometrics (e.g. Adams and Allen, 1998;Clegg et al, 2009;Anderson et al, 2011) and is related to PCA, which has been used previously on APXS and Mössbauer data (e.g. Arvidson et al, 2006Arvidson et al, , 2008Arvidson et al, , 2011Treguier et al, 2008).…”

Section: Introduction and Methodologymentioning

confidence: 99%

“…The ChemCam analysis spot size is 200-500 lm, and analyses of multiple spots on samples can be used to estimate bulk composition (Thompson et al, 2006;Anderson et al, 2011). The shock wave from the LIBS plasma is capable of clearing away dust on a target's surface (e.g.…”

Section: Implications For Mars Science Laboratorymentioning

confidence: 99%

Correlating multispectral imaging and compositional data from the Mars Exploration Rovers and implications for Mars Science Laboratory

Anderson

Bell

2013

Icarus

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The influence of multivariate analysis methods and target grain size on the accuracy of remote quantitative chemical analysis of rocks using laser induced breakdown spectroscopy

Cited by 88 publications

References 34 publications

Comparison of two partial least squares-discriminant analysis algorithms for identifying geological samples with the ChemCam laser-induced breakdown spectroscopy instrument

Comparison of two partial least squares-discriminant analysis algorithms for identifying geological samples with the ChemCam laser-induced breakdown spectroscopy instrument

Calibration Methods of Laser-Induced Breakdown Spectroscopy

Correlating multispectral imaging and compositional data from the Mars Exploration Rovers and implications for Mars Science Laboratory

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