1 resultado para MOdular Quantitative Analysis (MOQA)
em Repositorio Institucional da UFLA (RIUFLA)
Filtro por publicador
- JISC Information Environment Repository (1)
- Aberystwyth University Repository - Reino Unido (2)
- Academic Archive On-line (Stockholm University; Sweden) (1)
- Academic Research Repository at Institute of Developing Economies (2)
- Adam Mickiewicz University Repository (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (2)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (3)
- Aquatic Commons (13)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archive of European Integration (3)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (5)
- Aston University Research Archive (15)
- B-Digital - Universidade Fernando Pessoa - Portugal (3)
- Biblioteca Digital da Câmara dos Deputados (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (10)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (20)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (22)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (37)
- Boston University Digital Common (2)
- Brock University, Canada (7)
- CaltechTHESIS (3)
- Cambridge University Engineering Department Publications Database (8)
- CentAUR: Central Archive University of Reading - UK (43)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (75)
- Cochin University of Science & Technology (CUSAT), India (6)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (7)
- Dalarna University College Electronic Archive (1)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (3)
- Digital Archives@Colby (1)
- Digital Commons - Michigan Tech (1)
- Digital Commons at Florida International University (5)
- Digital Peer Publishing (1)
- DigitalCommons@The Texas Medical Center (1)
- Duke University (5)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (1)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Glasgow Theses Service (1)
- Greenwich Academic Literature Archive - UK (2)
- Helda - Digital Repository of University of Helsinki (16)
- Hospitais da Universidade de Coimbra (1)
- Indian Institute of Science - Bangalore - Índia (15)
- Instituto Politécnico do Porto, Portugal (16)
- Instituto Superior de Psicologia Aplicada - Lisboa (1)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Martin Luther Universitat Halle Wittenberg, Germany (1)
- Memorial University Research Repository (1)
- National Center for Biotechnology Information - NCBI (11)
- Nottingham eTheses (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- Publishing Network for Geoscientific & Environmental Data (7)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (53)
- Queensland University of Technology - ePrints Archive (75)
- RDBU - Repositório Digital da Biblioteca da Unisinos (1)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (5)
- Repositório Científico da Universidade de Évora - Portugal (3)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (6)
- Repositório digital da Fundação Getúlio Vargas - FGV (18)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (3)
- Repositorio Institucional da UFLA (RIUFLA) (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (7)
- Repositório Institucional dos Hospitais da Universidade Coimbra (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (211)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (6)
- SAPIENTIA - Universidade do Algarve - Portugal (2)
- School of Medicine, Washington University, United States (1)
- Universidad de Alicante (3)
- Universidad del Rosario, Colombia (24)
- Universidad Politécnica de Madrid (8)
- Universidade Complutense de Madrid (1)
- Universidade de Lisboa - Repositório Aberto (2)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (33)
- Universidade Técnica de Lisboa (2)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Lausanne, Switzerland (4)
- Université de Montréal, Canada (18)
- Université Laval Mémoires et thèses électroniques (1)
- University of Connecticut - USA (1)
- University of Michigan (8)
- University of Queensland eSpace - Australia (9)
- University of Southampton, United Kingdom (1)
- University of Washington (1)
Resumo:
Sugar is widely consumed worldwide and Brazil is the largest producer, consumer, and exporter of this product. To guarantee proper development and productivity of sugar cane crops, it is necessary to apply large quantities of agrochemicals, especially herbicides and pesticides. The herbicide tebuthiuron (TBH) prevents pre- and post-emergence of infesting weed in sugarcane cultures. Considering that it is important to ensure food safety for the population, this paper proposes a reliable method to analyse TBH in sugar matrixes (brown and crystal) using square wave voltammetry (SWV) and differential pulse voltammetry (DPV) at bare glassy carbon electrode and investigate the electrochemical behavior of this herbicide by cyclic voltammetry (CV). Our results suggest that TBH or the product of its reaction with a supporting electrolyte is oxidized through irreversible transfer of one electron between the analyte and the working electrode, at a potential close to +1.16 V vs. Ag |AgClsat in 0.10 mol L-1 KOH as supporting electrolyte solution. Both DPV and SWV are satisfactory for the quantitative analysis of the analyte. DPV is more sensitive and selective, with detection limits of 0.902, 0.815 and 0.578 mg kg-1, and quantification limits of 0.009, 0.010 and 0.008 mg kg-1 in the absence of the matrix and in the presence of crystal and brown sugar matrix, respectively. Repeatability lay between 0.53 and 13.8%, precision ranged between 4.14 and 15.0%, and recovery remained between 84.2 and 113% in the case of DPV conducted in the absence of matrix and in the presence of the crystal sugar matrix, respectively.