Proposition of classification models for the direct evaluation of the quality of cattle and sheep leathers using laser-induced breakdown spectroscopy (LIBS) analysis

Neiva, Ariane Maciel; Jacinto, M. A. C.; Alencar, M. M. de; Esteves, S. N.; Pereira-Filho, Edenir Rodrigues

doi:10.1039/c6ra22337k

Cited by 17 publications

(8 citation statements)

References 29 publications

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“…68 A utilização dessas ferramentas são indispensáveis quando o objetivo é usar as informações espectrais para proposição de modelos de classificação. As ferramentas referidas foram empregadas com sucesso na proposição de modelos de classificação para amostras de ligas metálicas, 43 polímeros, 44 couros, 86 cosméticos, 87 pinturas pré-histórica, 88 forense, 89 rochas vulcânicas 90 entre outros. [91][92][93] Os métodos não supervisionados de reconhecimento de padrões, como a principal component analysis (PCA) e hierarchical cluster analysis (HCA) também são empregados.…”

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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Section: Libs E Quimiometriaunclassified

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

Costa¹,

Augusto²,

Castro³

et al. 2019

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“…Its limitation is that a nonoptimized differential model will be generated when the difference between the classes is similar to the differences within the class itself. Three models, KNN, SIMCA, and PLS‐DA, were proposed to predict the quality parameters of cattle and sheep leathers, and the correct prediction percentages ranged from 75.2% (for SIMCA) to 80.5% (for PLS‐DA) for the calibration dataset and from 71.6% (for SIMCA) to 80.9% (for KNN) for the validation samples . Two chemometric algorithms, PCA and SIMCA, were implemented to exploit the multivariate nature of the LIBS data, indicating that LIBS can potentially differentiate and discriminate among pharmaceutical tablets; it demonstrated an excellent prospective classification accuracy using the SIMCA algorithm, with an average correct classification rate of approximately 94% .…”

Section: Qualitative Analysismentioning

confidence: 99%

Chemometrics in laser‐induced breakdown spectroscopy

Zhang

Tang

2018

Journal of Chemometrics

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Laser-induced breakdown spectroscopy (LIBS) is a new type of elemental analytical technology with the advantages of real-time, online, and noncontact as well as enabling the simultaneous analysis of multiple elements. It has become a frontier analytical technique in spectral analysis. However, the issue of how to improve the accuracy of qualitative and quantitative analyses by extracting useful information from a large amount of complex LIBS data remains the main problem for the LIBS technique. Chemometrics is a chemical subdiscipline of multi-interdisciplinary methods; it offers advantages in data processing, signal analysis, and pattern recognition. It can solve some complicated problems that are difficult for traditional chemical methods. In this paper, we reviewed the research progress of chemometrics methods in LIBS for spectral data preprocessing as well as for qualitative and quantitative analyses in the most recent 5 years (2012-2016). KEYWORDSchemometrics, data preprocessing, laser-induced breakdown spectroscopy, qualitative analysis, quantitative analysis | INTRODUCTIONAs one of the most promising analytical tools in the 21st century, laser-induced breakdown spectroscopy (LIBS) is a novel analytical technique for materials and elements; it is based on atomic emission spectroscopy and a laser as an excitation source. 1-4 In LIBS, a low-energy pulse laser (typically tens to hundreds of millijoules per pulse) generated from a laser device is reflected by a plane mirror and focused by a plano-convex lens onto the sample surface; a laser-induced plasma with high temperature is then generated. The light with different frequencies is radiated during the plasma cooling process, and it is collected by an optical fiber coupled to a spectrometer. The qualitative and quantitative analyses by the LIBS technique can be performed using the wavelength and integrated intensity of the spectral line. A schematic diagram of the LIBS instrument is presented in Figure 1. It consists of Nd:YAG laser, optical part, X-Y-Z manual micrometric stage, optical fiber, spectrometer, Charge coupled device (CCD) camera, and computer.The LIBS technology has benefited from the invention of the ruby crystal laser 5 and was first reported by Brech and Cross. 6 It has become a research focus in the spectral field with the development of laser and optical detection techniques. Compared with conventional analytical tools, LIBS demonstrates some substantial advantages with regards to being rapid, real-time, on-site, and nondestructive while allowing remote detection without complicated sample preparation procedures as well as simultaneous multicomponent analysis. 7-9 Because of these advantages, LIBS technology has been widely used in process analysis and in the control of industrial manufacturing, food supervision, environmental monitoring, historical relic identification, and space exploration. [10][11][12][13] The National Aeronautics and

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“…Neiva et al used a linear classification method such as SIMCA and PLS-DA analysis as an index to judge and classify the quality of leather of sheep and cattle. 30 In the study by Zhang et al, 31 qualitative and quantitative analysis, and classification of, the chemical composition of 20 slags was performed by multivariate analysis such as SVM and PLS combined with LIBS. In addition, there have been studies to confirm the high degree of accuracy of classification of explosives by analyzing the suspended matter containing explosives and classifying them according to the situation.…”

Section: Introductionmentioning

confidence: 99%

Forensic Discrimination of Latent Fingerprints Using Laser-Induced Breakdown Spectroscopy (LIBS) and Chemometric Approaches

Yang

Yoh

2018

Appl Spectrosc

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A novel technique is reported for separating overlapping latent fingerprints using chemometric approaches that combine laser-induced breakdown spectroscopy (LIBS) and multivariate analysis. The LIBS technique provides the capability of real time analysis and high frequency scanning as well as the data regarding the chemical composition of overlapping latent fingerprints. These spectra offer valuable information for the classification and reconstruction of overlapping latent fingerprints by implementing appropriate statistical multivariate analysis. The current study employs principal component analysis and partial least square methods for the classification of latent fingerprints from the LIBS spectra. This technique was successfully demonstrated through a classification study of four distinct latent fingerprints using classification methods such as soft independent modeling of class analogy (SIMCA) and partial least squares discriminant analysis (PLS-DA). The novel method yielded an accuracy of more than 85% and was proven to be sufficiently robust. Furthermore, through laser scanning analysis at a spatial interval of 125 µm, the overlapping fingerprints were reconstructed as separate two-dimensional forms.

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Proposition of classification models for the direct evaluation of the quality of cattle and sheep leathers using laser-induced breakdown spectroscopy (LIBS) analysis

Abstract: This study proposes classification models for the prediction of the quality parameters of cattle and sheep leathers.

Cited by 17 publications

References 29 publications

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

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

Chemometrics in laser‐induced breakdown spectroscopy

Forensic Discrimination of Latent Fingerprints Using Laser-Induced Breakdown Spectroscopy (LIBS) and Chemometric Approaches

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