1 resultado para DEVOLUCION DE IVA
em Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa)
Filtro por publicador
- Abertay Research Collections - Abertay University’s repository (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (13)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (2)
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- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (2)
- Biblioteca Digital - Universidad Icesi - Colombia (1)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (5)
- Biblioteca Digital de Artesanías de Colombia (1)
- Biblioteca Digital de la Universidad Católica Argentina (1)
- Biblioteca Valenciana Digital - Ministerio de Educación, Cultura y Deporte - Valencia - Espanha (1)
- Bibloteca do Senado Federal do Brasil (5)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (15)
- Brock University, Canada (2)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- CaltechTHESIS (2)
- Cámara de Comercio de Bogotá, Colombia (7)
- CentAUR: Central Archive University of Reading - UK (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (3)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (17)
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- Harvard University (1)
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- Indian Institute of Science - Bangalore - Índia (5)
- Instituto Politécnico do Porto, Portugal (4)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (2)
- Memoria Académica - FaHCE, UNLP - Argentina (52)
- Ministerio de Cultura, Spain (6)
- National Center for Biotechnology Information - NCBI (11)
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- Portal de Revistas Científicas Complutenses - Espanha (1)
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- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (1)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (3)
- Repositorio de la Universidad de Cuenca (5)
- Repositório digital da Fundação Getúlio Vargas - FGV (11)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (1)
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- Repositorio Institucional Universidad de Medellín (2)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (2)
- SAPIENTIA - Universidade do Algarve - Portugal (2)
- Scientific Open-access Literature Archive and Repository (1)
- Universidad Autónoma de Nuevo León, Mexico (1)
- Universidad de Alicante (3)
- Universidad del Rosario, Colombia (11)
- Universidad Politécnica de Madrid (1)
- Universidade Complutense de Madrid (2)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Universidade Técnica de Lisboa (3)
- Université de Montréal (1)
- Université de Montréal, Canada (3)
- University of Michigan (9)
- University of Queensland eSpace - Australia (6)
- University of Washington (1)
Resumo:
Soil organic matter (SOM) is important to fertility, since it performs several functions such as cycling, water and nutrient retention and soil aggregation, in addition to being an energy requirement for biological activity. This study proposes new trends to the Embrapa, Walkley-Black, and Mebius methods that allowed the determination of SOM by spectrophotometry, increasing functionality. The mass of 500 mg was reduced to 200 mg, generating a mean of 60 % saving of reagents and a decrease of 91 % in the volume of residue generated for the three methods without compromising accuracy and precision. We were able to optimize conditions for the Mebius method and establish the digestion time of maximum recovery of SOM by factorial design and response surface. The methods were validated by the estimate of figures of merits. Between the methods investigated, the optimized Mebius method was best suited for determining SOM, showing near 100 % recovery.