Evaluation of the prediction precision capability of partial least squares regression approach for analysis of high alloy steel by laser induced breakdown spectroscopy

Sarkar, Arnab; Karki, V.; Maurya, Gulab Singh; Kumar, Rohit; Awadhesh, K.; Mao, Xianglei; Russo, Richard E.

doi:10.1016/j.sab.2015.04.002

Cited by 49 publications

(24 citation statements)

References 29 publications

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“…Generally, the most common chemometric technique applied to concentration measurement by LIBS is PLS. 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.…”

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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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

View full text Add to dashboard Cite

show abstract

“…Optical and mass spectrometric methods have been developed for the direct determination of trace elements in solids. For optical methods, the representative techniques are X‐ray fluorescence (XRF), glow discharge optical emission spectrometry (GD‐OES), laser‐induced fluorescence (LIF), and laser‐induced breakdown spectrometry (LIBS) . Some drawbacks related to these optical techniques are intricate spectral interference, high background level, and relatively high limit of detection (LOD).…”

Section: Introductionmentioning

confidence: 99%

“…For optical methods, the representative techniques are X-ray fluorescence (XRF), 1,2 glow discharge optical emission spectrometry (GD-OES), 3,4 laser-induced fluorescence (LIF), 5,6 and laser-induced breakdown spectrometry (LIBS). 7,8 Some drawbacks related to these optical techniques are intricate spectral interference, high background level, and relatively high limit of detection (LOD). Due to the high sensitivity, isotopic information, and simplified spectrum, mass spectrometry has proven to be a broadly applicable tool for trace elemental analysis in solids, such as secondary ion mass spectrometry (SIMS), [9][10][11] laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS), [12][13][14] glow discharge mass spectrometry (GD-MS), [15][16][17] and high irradiance laser ionization mass spectrometry (LI-MS).…”

Section: Introductionmentioning

confidence: 99%

Improved detection sensitivity of elements in solids via laser postionization in laser desorption time‐of‐flight mass spectrometry

et al. 2018

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A newly constructed laser desorption (532 nm, 5 ns) and laser postionization (266 nm, 5 ns) time-of-flight mass spectrometer (LD-LPI-TOFMS) has been applied for improving the detection sensitivity of elements in solid samples. This method affords to acquire the information of the elemental impurities in solid standards as well as limit of detection (LOD) down to 10 g/g for some elements. Neutral atoms of solids are generated by low-irradiance laser desorption (< 10 W/cm ), followed by high-irradiance laser postionization (~ 10 W/cm ) of the desorbed atoms, facilitating to decouple the desorption and ionization processes in spatial and temporal domain. This non-interacting feature overcomes the discrimination between deteriorating spectral resolution at high irradiance (10 -10 W/cm ) and limited detectable elemental species and high LOD at low or medium irradiance (below 10 W/cm ). The utilization of originally "wasted" neutral atoms by laser postionization will help improve atom utilization and instrumental sensitivity. In this work, getting the utmost out of the consumed neutral atoms instead of an increment in sampling amounts is given attention with high priority for achieving high sensitivity and low LOD, which is especially useful on the occasions where very low sample consumption is desired.

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“…us, LIBS has been widely used for various applications, such as industry-oriented analysis [3], archaeological investigation [4], geological and environmental studies [5][6][7], and jewelry characterization [8]. Geological materials including rocks and minerals convey important information about particular geological environments, and this information can be extremely useful for studies such as determining mineral provenance, reservoir description, prospecting, and geochemical mapping [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Classification of Geological Samples Based on Soft Independent Modeling of Class Analogy Using Laser-Induced Breakdown Spectroscopy

Zhang

et al. 2018

Journal of Spectroscopy

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Laser-induced breakdown spectroscopy with soft independent modeling of class analogy is used in the identification of a large number of unprocessed geological samples having similar components in this study. Considering a variety of data from different samples, representative spectral regions representing the major components were extracted. In addition, principal component analysis was applied to remove noninformative variables from the spectrum. e unclassification rate, misclassification rate, and average correct classification rate for 25 types of geological samples were 1.2%, 4.7%, and 94.1%, respectively. ese results suggest that laser-induced breakdown spectroscopy using soft independent modeling of class analogy can be used to identify a wide variety of geological samples. Furthermore, we found that this approach can be used to identify spectral differences among similar sample types because of matrix effects and the trace element impurities.

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Evaluation of the prediction precision capability of partial least squares regression approach for analysis of high alloy steel by laser induced breakdown spectroscopy

Cited by 49 publications

References 29 publications

Calibration Methods of Laser-Induced Breakdown Spectroscopy

Calibration Methods of Laser-Induced Breakdown Spectroscopy

Improved detection sensitivity of elements in solids via laser postionization in laser desorption time‐of‐flight mass spectrometry

Classification of Geological Samples Based on Soft Independent Modeling of Class Analogy Using Laser-Induced Breakdown Spectroscopy

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