Laser-Induced Breakdown Spectroscopy Associated with Multivariate Analysis Applied to Discriminate Fertilizers of Different Nature

Senesi, Giorgio S.; Romano, Renan Arnon; Marangoni, Bruno; Nicolodelli, Gustavo; Boas, Paulino Ribeiro Villas; Benites, V. M.; Milori, Débora Marcondes Bastos Pereira

doi:10.1007/s10812-017-0566-4

Cited by 21 publications

(6 citation statements)

References 18 publications

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“…The authors detected several elements including Al, Ca, Cr, Cu, Fe, K, Mg, Mn, Na, Pb, Sr, and Zn, in two composts of different origin and four accumulator plant species (Atriplex halimus, Brassica alba, Brassica napus, and Eruca vesicaria). 103 They also verified their LIBS concentration results with ICP-OES measurements. These authors proved the feasibility of LIBS for fast elemental screening of plant and compost samples.…”

Section: Soil Compositional Analysis Using Libssupporting

confidence: 53%

Review: Application Of LIBS To Elemental Analysis And Mapping Of Plant Samples

Singh¹

2021

At.Spectrosc.

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Trace minerals and metallic elements play a key role in plant metabolism and function. Therefore, it is important to understand the movement and distribution of trace minerals within various parts of plants in order to understand their metabolic pathways. Information on the localization of minerals can be utilized in the fields of plant science, agriculture, and food technologies. In this context, herein, we review the feasibility of application of laser-induced breakdown spectroscopy (LIBS) as a technique for trace element detection and mapping in different plant matrices. LIBS is a well-established technique that can be used to perform rapid multi-elemental detection in various types of samples, including plants. Owing to the unique capabilities of LIBS, its field applications are growing rapidly, particularly in the area of plant science. Here, our primary emphasis is on the quantitative and qualitative elemental imaging of different varieties of plant species that are of importance as medicines and foodstuffs. In this review article, we present an exhaustive survey of recent developments, including technical advances and recent work involving the detection of nanoparticles in plant samples and in the monitoring of soil content. The future potential of LIBS and the viability of its possible applications to the detection of essential minerals and heavy metals in plants used as foods or of medicinal importance are also discussed.

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Section: Soil Compositional Analysis Using Libssupporting

confidence: 53%

Review: Application Of LIBS To Elemental Analysis And Mapping Of Plant Samples

Singh¹

2021

At.Spectrosc.

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“…Normalmente, o primeiro passo para interpretação dos dados LIBS para um grande conjunto de amostras é a aplicação da PCA. [94][95][96][97][98][99][100] Outra abordagem quimiométrica muito empregada em análise por LIBS é o uso da calibração multivariada. Dentre as principais ferramentas de calibração multivariada aplicadas estão a partial least squares (PLS), 101 multiple linear regression (MLR), 65 artificial neural networks (ANN) 102 entre outras.…”

Section: Libs E Quimiometriaunclassified

Laser Induced-Breakdown Spectroscopy (Libs): Histórico, Fundamentos, Aplicações E Potencialidades

Costa¹,

Augusto²,

Castro³

et al. 2019

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This review attempts to present a broad view of the technique laser-induced breakdown spectroscopy (LIBS), since its origin, fundamentals, sample preparation strategies, use of chemometric tools for data processing, the advantages and limitations with regard to qualitative and quantitative analysis, aplications and future trends as an analytical technique that is in consolidation in analytical chemistry. LIBS is a rapid and versatile, which is able of providing qualitative and quantitative analytical information for practically any sample, in a virtually non-destructive way, without any substantial sample preparation. The instrumentation is simple, robust, compact, and enables remote analysis. The advancement of the LIBS applications in the areas of agriculture, environmental, food, biological/pharmaceutical, forensic, metallurgy and electronic waste were discussed in detail in this review. We consider that this review will be an important tool concerning dissemination of the LIBS, mainly for audience of undergraduate courses, and disciplines related to instrumental analysis.

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“…Photonic techniques and machine learning algorithms have been extensively used to improve agricultural management in the past few years, mainly due to their high accuracy associated with their fast response, low analytical cost, simplified sample preparation, and environmentally clean techniques [ 7 , 8 , 9 , 10 , 11 , 12 ]. Recently, our research group demonstrated the potential application of the Fourier-transform infrared (FTIR) and Laser-induced breakdown spectroscopy (LIBS) for seed vigor classification [ 5 , 8 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Laser-Induced Breakdown Spectroscopy Associated with the Design of Experiments and Machine Learning for Discrimination of Brachiaria brizantha Seed Vigor

Cioccia

Morais

Babos

et al. 2022

Sensors

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Laser-induced breakdown spectroscopy (LIBS) associated with machine learning algorithms (ML) was used to evaluate the Brachiaria seed physiological quality by discriminating the high and low vigor seeds. A 23 factorial design was used to optimize the LIBS experimental parameters for spectral analysis. A total of 120 samples from two distinct cultivars of Brachiaria brizantha seeds exhibiting high vigor (HV) and low vigor (LV) in standard tests were studied. The raw LIBS spectra were normalized and submitted to outlier verification, previously to the reduction data dimensionality from principal component analysis. Supervised machine learning algorithm parameters were chosen by leave-one-out cross-validation in the test samples, and it was tested by external validation using a new set of data. The overall accuracy in external validation achieved 100% for HV and LV discrimination, regardless of the cultivar or the classification algorithm.

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Laser-Induced Breakdown Spectroscopy Associated with Multivariate Analysis Applied to Discriminate Fertilizers of Different Nature

Cited by 21 publications

References 18 publications

Review: Application Of LIBS To Elemental Analysis And Mapping Of Plant Samples

Review: Application Of LIBS To Elemental Analysis And Mapping Of Plant Samples

Laser Induced-Breakdown Spectroscopy (Libs): Histórico, Fundamentos, Aplicações E Potencialidades

Laser-Induced Breakdown Spectroscopy Associated with the Design of Experiments and Machine Learning for Discrimination of Brachiaria brizantha Seed Vigor

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