Publications by authors named "Bruno S Marangoni"

Laser-induced breakdown spectroscopy (LIBS) associated with machine learning algorithms (ML) was used to evaluate the seed physiological quality by discriminating the high and low vigor seeds. A 2 factorial design was used to optimize the LIBS experimental parameters for spectral analysis. A total of 120 samples from two distinct cultivars of seeds exhibiting high vigor (HV) and low vigor (LV) in standard tests were studied.

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Gold nanoparticles (AuNPs) have shown interesting properties and specific biofunctions, providing benefits and new opportunities for controlled release systems. In this research, we demonstrated the use of natural rubber latex (NRL) from Hevea brasiliensis as a carrier of AuNPs and the antibiotic metronidazole (MET). We prepared AuNP-MET-NRL and characterized by physicochemical, biological and in vitro release assays.

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The contamination of water sources by anthropogenic activities is a topic of growing interest in the scientific community. Therefore, robust analytical techniques for the determination and quantification of multiple substances are needed, which often require complex and time-consuming procedures. In this context, we describe a univariate calibration method to determine emerging multi-class contaminants in different water sources.

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The correct recognition of sweet orange ( L. Osbeck) variety accessions at the nursery stage of growth is a challenge for the productive sector as they do not show any difference in phenotype traits. Furthermore, there is no DNA marker able to distinguish orange accessions within a variety due to their narrow genetic trace.

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Lutzomyia longipalpis and Lutzomyia cruzi are the main sandflies species involved in the transmission of Leishmania infantum protozoan in Brazil. The morphological characteristics can be used for species identification of males specimens, while females are indistinguishable. Although, sandflies identification is essential to understand vectorial capacity, and susceptibility to infectious agents or insecticides, there is a lack of new strategies for specimen identification.

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Laser-induced breakdown spectroscopy (LIBS) for atomic multi-elementary analyses, and Fourier transform infrared spectroscopy (FTIR) for molecular identification, are often suggested as the most versatile spectroscopic techniques. The present work aimed to evaluate the performance of both techniques, LIBS and FTIR, combined with principal component analysis (PCA) and machine learning (ML) algorithms in the detection of the composition analysis and differentiation of four different types of rice, white, brown, black, and red. The two techniques were primarily used to obtain the elemental and molecular qualitative characterization of rice samples.

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A novel approach to distinguish soybean seed vigor based on Fourier transform infrared spectroscopy (FTIR) associated with chemometric methods is presented. Batches with high and low vigor soybean seeds were analyzed. Support vector machine (SVM), K-nearest neighbors (KNN), and discriminant analysis were applied to the raw spectral and reduced-dimensionality data from PCA (principal component analysis).

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In the last few decades, Portland/residue composites have been researched due to their technological and environmental advantages. In this study, residues of (Jacq.) Lodd endocarp (AE) were introduced in the Portland cement-soil (PC) matrix in different concentrations (0, 5, 10, 15, 20, and 50 wt%) to produce PC/AE bricks.

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Article Synopsis
  • Laser-induced breakdown spectroscopy (LIBS) is gaining attention for its ability to quickly identify and measure chemical elements with little sample prep but struggles with sensitivity.
  • Researchers developed a homemade continuum wave-diode laser (CW-DL) and combined it with a double pulse LIBS system to enhance lead (Pb) detection in soil samples.
  • The combination resulted in a roughly 100% increase in sensitivity for detecting a specific Pb transition, indicating potential for further research into improving LIBS techniques.
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Article Synopsis
  • Laser-induced breakdown spectroscopy (LIBS) is a fast and effective method for detecting metal contaminants, especially mercury, in urban waste and landfill leachate.
  • The study improved LIBS sensitivity by using a double-pulse configuration, making it a better alternative compared to traditional single-pulse setups.
  • After normalizing the data to reduce errors, the researchers achieved a high correlation in Hg measurement, establishing a detection limit of 76 mg/kg and demonstrating that the calibration models for quantifying Hg were reliable.
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Organic fertilizers are obtained from waste of plant or animal origin. One of the advantages of organic fertilizers is that, from the composting, it recycles waste-organic of urban and agriculture origin, whose disposal would cause environmental impacts. Fast and accurate analysis of both major and minor/trace elements contained in organic mineral and inorganic fertilizers of new generation have promoted the application of modern analytical techniques.

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The C cycle in the Brazilian forests is very important, mainly for issues addressed to climate changes and soil management. Assessing and understanding C dynamics in Amazonian soils can help scientists to improve models and anticipate scenarios. New methods that allow soil C measurements in situ are a crucial approach for this kind of region, due to the costs for collecting and sending soil samples from the rainforest to the laboratory.

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