Comparison of univariate and multivariate calibration for the determination of micronutrients in pellets of plant materials by laser induced breakdown spectrometry

Braga, Jez Willian Batista; Trevizan, Lilian C.; Nunes, Lidiane Cristina; Rufini, Iolanda Aparecida; Santos, Dário; Krug, Francisco José

doi:10.1016/j.sab.2009.11.007

Cited by 123 publications

(70 citation statements)

References 70 publications

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“…As the plasma cools, the continuum emission reduces, allowing the observation of atomic and ionic lines derived from the excited elements (Singh and Thakur, 2007), which is usually performed at~10,000 K. The elemental composition of the samples can be determined, and with appropriate calibration models the elemental concentration can be obtained. In the case of soil analysis, the LIBS has been applied to evaluate nutrients (Hussain et al, 2007;Ferreira et al, 2011;Braga et al, 2010;Cremers et al, 2001;Ebinger et al, 2003), contaminants (Bousquet et al, 2007;Senesi et al, 2009), and carbon (Nicolodelli et al, 2014;Ebinger and Harris, 2010;Silva et al, 2008), as well as humification degree of soil organic matter (Ferreira et al, 2014), soil pH (Ferreira et al, 2015), and soil classification (Pontes et al, 2009). However, no applications of LIBS have been reported for the evaluation of any soil physical characteristics.…”

Section: Introductionmentioning

confidence: 99%

Laser-induced breakdown spectroscopy to determine soil texture: A fast analytical technique

et al. 2016

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The analysis of soil texture is crucial for the proper management of agricultural systems and for environmental studies. Soil texture is important as it affects erosion potential, water retention capacity, organic matter complexation, and the retention of nutrients, among others. It is usually determined by pipette or hydrometer methods, but analysis requires a preparation with chemical reagents, which can take hours and hence is unfeasible for large number of samples. Here we propose the use of laser-induced breakdown spectroscopy (LIBS) to estimate the proportions of sand, silt, and clay in 60 Brazilian soil samples of varying composition. Two calibration models were developed with the partial least square regression method: one considering the spectral region from 188 to 980 nm and the other, emission lines of the elements Si, Na, Fe, Ti, Ca, K, Al, Co, Mg, V, Ba, and Be. The Pearson correlation coefficients for the estimated values were 0.89 and 0.90 on average for the first and second models, respectively. The uncertainties were 6% on average for both models. These results demonstrate the use of LIBS for rapid scanning of the texture of soil samples with distinct composition. The procedure presented here can be extended to other chemical and physical soil properties, which makes LIBS a universal tool for rapid soil analysis without preparation with chemical reagents.

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Section: Introductionmentioning

confidence: 99%

Laser-induced breakdown spectroscopy to determine soil texture: A fast analytical technique

et al. 2016

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“…There is no doubt that the multivariate analysis is superior to univariate analysis. This has been proven by numerous researchers, for instance, the analysis of rocks [49], rare earth elements [38], glass [50], cerium oxide [51], alloy steel [52], liquid steel [53], soil [54,55], soybean oil [56], PZT (Lead Zirconate Titanate) ceramics [57], Pb in navel orange [58], Marcellus Shale [59], tailing cores [60], geologically diverse samples [49], steel melt [61], slurry [62], iron ore [63] and pellets of plant materials [64].…”

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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“…Many studies have successfully applied multivariate approaches for analyzing the LIBS spectra of wood [20,21], human and animal bones [67], glass [68], geomaterials [69,70] and plant materials [71]. However, only a few studies applied multivariate approaches for soil spectra analysis, such as classification of distinct soil samples using principle component analysis (PCA) [72] and determination of elemental carbon concentration using partial least square (PLS) [42].…”

Section: Quantitative Analysis For Libs Datamentioning

confidence: 99%

Applications of High Resolution Laser: Induced Breakdown Spectroscopy for Environmental and Biological Samples

Martin

Labbé

Wagner

2014

Springer Series in Optical Sciences

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This chapter details the application of LIBS in a number of environmental areas of research such as carbon sequestration and climate change. LIBS has also been shown to be useful in other high resolution environmental applications for example, elemental mapping and detection of metals in plant materials. LIBS has also been used in phytoremediation applications. Other biological research involves a detailed understanding of wood chemistry response to precipitation variations and also to forest fires. A cross-section of Mountain pine (pinceae Pinus pungen Lamb.) was scanned using a translational stage to determine the differences in the chemical features both before and after a fire event. Consequently, by monitoring the elemental composition pattern of a tree and by looking for abrupt changes, one can reconstruct the disturbance history of a tree and a forest. Lastly we have shown that multivariate analysis of the LIBS data is necessary to standardize the analysis and correlate to other standard laboratory techniques. LIBS along with multivariate statistical analysis makes it a very powerful technology that can be transferred from laboratory to field applications with ease.

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Comparison of univariate and multivariate calibration for the determination of micronutrients in pellets of plant materials by laser induced breakdown spectrometry

Cited by 123 publications

References 70 publications

Laser-induced breakdown spectroscopy to determine soil texture: A fast analytical technique

Laser-induced breakdown spectroscopy to determine soil texture: A fast analytical technique

Calibration Methods of Laser-Induced Breakdown Spectroscopy

Applications of High Resolution Laser: Induced Breakdown Spectroscopy for Environmental and Biological Samples

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