Bioquímica
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Programa de Pós-Graduação em Bioquímica
Centro: CCS
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URL do programa: https://bioquimicaefarmacologia.ufes.br/pt-br/pos-graduacao/PPGBiq
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Navegando Bioquímica por Autor "Antunes, Paulo Wagnner Pereira"
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- ItemEstratégias para quantificar Ocratoxina A em amostras de café: estudo de interferentes, pré-tratamentos e análise computacional(Universidade Federal do Espírito Santo, 2025-07-29) Mancini, Isabela Fracalossi; Santos, Gabriel Fernandes Souza dos ; https://orcid.org/0000-0002-8798-6428; http://lattes.cnpq.br/2884729106673212; Oliveira, Jairo Pinto de; https://orcid.org/0000-0001-7595-1183; http://lattes.cnpq.br/2228283301316218; https://orcid.org/0009-0006-2698-6957; http://lattes.cnpq.br/5521119724911165; Guimarães, Marco Cesar Cunegundes; https://orcid.org/0000-0003-2146-0180; http://lattes.cnpq.br/0261991057482057; Antunes, Paulo Wagnner Pereira; http://lattes.cnpq.br/5259147170249880Ochratoxin A (OTA) is a mycotoxin produced by fungi of the Aspergillus and Penicillium genera that can be found in various food products and is particularly relevant in the context of coffee production. Due to its high toxicity, each region has its own regulations to ensure safe maximum consumption limits of this substance in coffee beans. The quantification of OTA is commonly performed using methodologies that involve immunoaffinity columns (IACs) as a pre-treatment step, followed by high performance liquid chromatography with fluorescence detection (HPLC-FL). However, components of the coffee matrix can directly influence the efficiency of OTA recognition by IAC antibodies. Therefore, the present study investigated individually the influence of some coffee markers (caffeine, caffeic acid, chlorogenic acid, cafestol, acrylamide, and melanoidins) on OTA detection, as well as their effects in different types of coffee. The assays were performed by pre-treating the samples using IACs followed by HPLCFL detection, and also employing rapid tests (Lateral Flow Immunoassay, LFIA). The results showed that nearly all interferents were capable of reducing OTA recovery in the tests. Caffeine and caffeic acid yielded the lowest recoveries in the HPLC-FL tests, with values of 65.17% and 69.39%, respectively. In the LFIA tests, chlorogenic acid and melanoidins resulted in the lowest recoveries, with only 48.45% and 35.74%, respectively. Computational molecular docking studies were carried out, and the in silico results were compared with the tests performed. The findings indicate that the reduction in toxin recovery may be related to possible interactions with OTA, mainly through hydrogen interactions or π-π bonds.
- ItemNanosensor baseado em ressonância plasmônica de superfície localizada para detecção rápida de glifosato em amostras ambientais(Universidade Federal do Espírito Santo, 2021-12-20) Côco, Ariany Soares; Oliveira, Jairo Pinto de; https://orcid.org/0000000175951183; http://lattes.cnpq.br/2228283301316218; https://orcid.org/0000-0001-7497-1625; http://lattes.cnpq.br/1351769143023984; Guimarães, Marco Cesar Cunegundes; https://orcid.org/0000000321460180; http://lattes.cnpq.br/0261991057482057; Antunes, Paulo Wagnner Pereira; http://lattes.cnpq.br/5259147170249880Pesticides are among the main chemical products that are most aggressive to the environment due to their persistence in soil and aquatic environments, their long-term effects on living organisms, in addition to mobility between regions, mostly destroying ecosystems and reaching areas adjacent to agricultural production . Glyphosate [N- (phosphonomethyl) glycine] is a non-selective, broad-spectrum herbicide and is known and marketed worldwide. However, its massive and out-of-control application in agriculture has led to environmental and health-related concerns, as in recent years there have been several studies demonstrating contamination in water, soil and food. Therefore, it is of great importance to develop methods capable of simple and low-cost detection that can show different limits allowed by regulatory bodies. In this work, nanotechnology was applied to the fabrication of a biosensor based on gold nanoparticles from the phenomenon of localized surface plasmon resonance (LSPR). Nanoparticles coupled to an IgY-type anti-glyphosate antibody (AuNp-Ac) were used as a glyphosate recognition element. The developed sensor was successful for detecting glyphosate in a wide linear range from 0,009 ug.L-1 to 10.000ug.L-1 . The biosensor response was stable and reproducible, with results that cover the range of interest according to the acceptable daily intake of 0.5 mg/kg, providing a promising alternative for real-time detection of pesticides.