Agroquímica
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Programa de Pós-Graduação em Agroquímica
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URL do programa: http://www.agroquimica.alegre.ufes.br/pos-graduacao/PPGAQ
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Navegando Agroquímica por Autor "Anastácio, Alexandre dos Santos"
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- ItemAvaliação da espectrometria no infravermelho próximo na determinação de C e N de solos da região Sul do Espírito Santo(Universidade Federal do Espírito Santo, 2019-05-15) Vieira, Camila Fernandes; Mendonça, Eduardo de Sá; Burak, Diego Lang; Anastácio, Alexandre dos SantosThe present study aimed to investigate the predictive capacity of total organic carbon and nitrogen contents by means of near infrared reflectance spectroscopy (NIR) and its potential for use in routine soil analysis. This method presents greater agility
- ItemComparação da eficiência de adsorção de CR(VI) entre biocarvão de palha de café e lodo de esgoto modificados com ferro(Universidade Federal do Espírito Santo, 2025/08/13) Braga, Barbara Letícia de Freitas Mendes; Anastácio, Alexandre dos Santos; https://orcid.org/0000-0002-2620-754X; http://lattes.cnpq.br/5749524589135573; Burak, Diego Lang; https://orcid.org/0000-0002-6758-3517; http://lattes.cnpq.br/2501042964619476; https://orcid.org/0009-0007-7828-1550; http://lattes.cnpq.br/4579998692304342; Neves, Mirna Aparecida; https://orcid.org/; http://lattes.cnpq.br/4696981882395783; Reis, Rayner Hugo Cassa Louzada dos ; https://orcid.org/0000-0002-4227-4136; http://lattes.cnpq.br/7684178857424982Industrial waste contaminated with hexavalent chromium, Cr(VI), has a significant impact on the environment and human health. In the environment, Cr(VI) is highly toxic to aquatic organisms, affecting biodiversity and water quality. Additionally, it can contaminate soil, impairing plant growth and food production. Its persistence in the environment exacerbates its potential for long-term accumulation. Regarding human health, industrial workers exposed to Cr(VI) face severe occupational risks, including lung cancer and skin and respiratory irritations. Contamination of drinking water with hexavalent chromium poses a public health threat, with chronic exposure linked to stomach cancer and damage to internal organs. Furthermore, Cr(VI) can accumulate in aquatic organisms, introducing it into the human food chain. Given this environmental issue, remediation strategies, such as adsorption using adsorbent materials, are essential for containment. This study aims to promote the removal of Cr(VI) through an adsorption process, using biochar from coffee husks modified with zero-valent iron nanoparticles as the adsorbent material.
- ItemEspectroscopia de reflectância difusa no infravermelho próximo e aprendizado de máquina na determinação do teor de matéria orgânica de solos do Espírito Santo(Universidade Federal do Espírito Santo, 2021-08-25) Souza, Thamiris Ferreira de; Burak, Diego Lang; https://orcid.org/0000000267583517; http://lattes.cnpq.br/2501042964619476; https://orcid.org/0000-0001-6775-6767; http://lattes.cnpq.br/1883619165644152; Mendonca, Eduardo de Sá; https://orcid.org/0000000332847129; http://lattes.cnpq.br/4735276653354808; Anastácio, Alexandre dos Santos; https://orcid.org/0000-0002-2620-754X; http://lattes.cnpq.br/5749524589135573; Fraga Filho, Clayton Vieira; https://orcid.org/0000-0002-0557-4666; http://lattes.cnpq.br/7004550879685129The research on the use of NIR spectroscopy to predict soil attributes, whether chemical or physical, has been receiving attention in recent years, because, in addition to presenting high potential as a soil analysis methodology, the technique has advantages when compared to methods used by routine laboratories, such as speed and practicality by dispensing with laborious analytical steps and the use of chemical reagents. Therefore, it contributes directly to the environment, as it does not use reagents often with high toxicity. The present study aimed to evaluate models with information from diffuse reflectance spectroscopy in the near infrared, for the prediction of organic matter contents in soil samples from the state of Espírito Santo. The following steps were followed: preparation of soil samples (Air-dried fine soil sieved in 2 mm); obtaining the organic matter contents and NIR spectra from the database; selection of sample groups and stratification with the K-means algorithm; application of pre-treatments; finally, adjustments and data evaluation were made to the PLS, Cubist, SVM, RF, GBM and GPR regression models. Among the results for the prediction of organic matter contents, R²=0.83 and R²=0.75 were highlighted, using the SG pre-processing technique associated with the PLS model and the IRLS technique with the Cubist model, respectively. These results come from the test set separated by the K-means algorithm. They were considered satisfactory. The stratification of the data group into subgroups proved to be effective in improving the predictive capacity of the built models. Cubist, linear GPR and polynomial SVM models also showed good performance for the prediction of soil organic matter associated with NIR spectroscopy, assuming a starting point for future studies.
- ItemQualidade da Água e do Sedimento de Corpos Hídricos do Município de Alegre, Espírito Santo(Universidade Federal do Espírito Santo, 2018-05-03) Firmino, Elziane Favoreto Alves; Anastácio, Alexandre dos Santos; Anastácio, Alexandre dos Santos; Ferrari, Jéferson Luiz; Tomaz, Marcelo AntônioThe agricultural activity uses a great amount of agrochemicals for the guarantee and increase of its productivity. However, this practice affects the environment, especially the quality of water bodies. The persistence of agrochemicals in the environment