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Artigo de periodico
Tropical wood reference material for multi-element analysis in traceability studies (2025)
Moreira, Gabriele Rossini ; Fernandes, Elisabete Aparecida De Nadai ; Bacchi, Márcio Arruda ; Gonzaga, Claudio Luis; Lima, Robson Campos de
Source: Journal of Radioanalytical and Nuclear Chemistry. Unidade: CENA
Subjects: MADEIRA, RASTREAMENTO, FLORESTAS, ELEMENTOS QUÍMICOS
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ABNT
MOREIRA, Gabriele Rossini et al. Tropical wood reference material for multi-element analysis in traceability studies. Journal of Radioanalytical and Nuclear Chemistry, p. 1-7, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10967-025-10469-5. Acesso em: 23 fev. 2026.
APA
Moreira, G. R., Fernandes, E. A. D. N., Bacchi, M. A., Gonzaga, C. L., & Lima, R. C. de. (2025). Tropical wood reference material for multi-element analysis in traceability studies. Journal of Radioanalytical and Nuclear Chemistry, 1-7. doi:10.1007/s10967-025-10469-5
NLM
Moreira GR, Fernandes EADN, Bacchi MA, Gonzaga CL, Lima RC de. Tropical wood reference material for multi-element analysis in traceability studies [Internet]. Journal of Radioanalytical and Nuclear Chemistry. 2025 ; 1-7.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1007/s10967-025-10469-5
Vancouver
Moreira GR, Fernandes EADN, Bacchi MA, Gonzaga CL, Lima RC de. Tropical wood reference material for multi-element analysis in traceability studies [Internet]. Journal of Radioanalytical and Nuclear Chemistry. 2025 ; 1-7.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1007/s10967-025-10469-5
Artigo de periodico
Kinetics of 65Zn in sheep supplemented with micro- and nanoparticles of zinc oxide (2025)
Gatti, Bruno Scatena ; Bacchi, Márcio Arruda ; Fernandes, Murilo Antonio ; Scotton, Karinna Camargo; Fernandes, Elisabete Aparecida De Nadai ; Abdalla, Adibe Luiz ; Louvandini, Helder
Source: Biological Trace Element Research. Unidade: CENA
Subjects: OVELHAS, RADIOTRAÇADORES, ELEMENTOS TRAÇADORES PARA ANIMAIS, NUTRIÇÃO ANIMAL
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ABNT
GATTI, Bruno Scatena et al. Kinetics of 65Zn in sheep supplemented with micro- and nanoparticles of zinc oxide. Biological Trace Element Research, p. 1-8, 2025Tradução . . Disponível em: https://doi.org/10.1007/s12011-025-04710-1. Acesso em: 23 fev. 2026.
APA
Gatti, B. S., Bacchi, M. A., Fernandes, M. A., Scotton, K. C., Fernandes, E. A. D. N., Abdalla, A. L., & Louvandini, H. (2025). Kinetics of 65Zn in sheep supplemented with micro- and nanoparticles of zinc oxide. Biological Trace Element Research, 1-8. doi:10.1007/s12011-025-04710-1
NLM
Gatti BS, Bacchi MA, Fernandes MA, Scotton KC, Fernandes EADN, Abdalla AL, Louvandini H. Kinetics of 65Zn in sheep supplemented with micro- and nanoparticles of zinc oxide [Internet]. Biological Trace Element Research. 2025 ; 1-8.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1007/s12011-025-04710-1
Vancouver
Gatti BS, Bacchi MA, Fernandes MA, Scotton KC, Fernandes EADN, Abdalla AL, Louvandini H. Kinetics of 65Zn in sheep supplemented with micro- and nanoparticles of zinc oxide [Internet]. Biological Trace Element Research. 2025 ; 1-8.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1007/s12011-025-04710-1
Artigo de periodico
Foliar application and translocation of radiolabeled zinc oxide suspension vs. zinc sulfate solution by soybean plants (2025)
Beltrame, Anita; Marques, João Paulo Rodrigues; Rodrigues, Mariana Ayres ; Almeida, Eduardo de ; Bacchi, Márcio Arruda ; Fernandes, Elisabete A. De Nadai ; Otto, Rafael ; Carvalho, Hudson Wallace Pereira de
Source: Agriculture. Unidades: CENA, ESALQ
Subjects: ADUBAÇÃO FOLIAR, GAMAESPECTROMETRIA, NUTRIÇÃO VEGETAL, PULVERIZADORES, RADIOISÓTOPOS, SOJA, ZINCO
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ABNT
BELTRAME, Anita et al. Foliar application and translocation of radiolabeled zinc oxide suspension vs. zinc sulfate solution by soybean plants. Agriculture, v. 15, n. 2, p. 1-17, 2025Tradução . . Disponível em: https://doi.org/10.3390/agriculture15020197. Acesso em: 23 fev. 2026.
APA
Beltrame, A., Marques, J. P. R., Rodrigues, M. A., Almeida, E. de, Bacchi, M. A., Fernandes, E. A. D. N., et al. (2025). Foliar application and translocation of radiolabeled zinc oxide suspension vs. zinc sulfate solution by soybean plants. Agriculture, 15( 2), 1-17. doi:10.3390/agriculture15020197
NLM
Beltrame A, Marques JPR, Rodrigues MA, Almeida E de, Bacchi MA, Fernandes EADN, Otto R, Carvalho HWP de. Foliar application and translocation of radiolabeled zinc oxide suspension vs. zinc sulfate solution by soybean plants [Internet]. Agriculture. 2025 ; 15( 2): 1-17.[citado 2026 fev. 23 ] Available from: https://doi.org/10.3390/agriculture15020197
Vancouver
Beltrame A, Marques JPR, Rodrigues MA, Almeida E de, Bacchi MA, Fernandes EADN, Otto R, Carvalho HWP de. Foliar application and translocation of radiolabeled zinc oxide suspension vs. zinc sulfate solution by soybean plants [Internet]. Agriculture. 2025 ; 15( 2): 1-17.[citado 2026 fev. 23 ] Available from: https://doi.org/10.3390/agriculture15020197
Artigo de periodico
Leveraging pre-trained computer vision models for accurate classification of meat freshness (2025)
Hidalgo, Marcelo Massarelli ; Lima, Robson Campos de ; Fernandes, Elisabete Aparecida de Nadai ; Bacchi, Márcio A ; Sarriés, Gabriel Adrian
Source: Food Chemistry. Unidades: CENA, ESALQ
Subjects: CARNES E DERIVADOS, QUALIDADE DOS ALIMENTOS, REDES NEURAIS, SEGURANÇA ALIMENTAR, VISÃO COMPUTACIONAL
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ABNT
HIDALGO, Marcelo Massarelli et al. Leveraging pre-trained computer vision models for accurate classification of meat freshness. Food Chemistry, v. 495, p. 1-11, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.foodchem.2025.146430. Acesso em: 23 fev. 2026.
APA
Hidalgo, M. M., Lima, R. C. de, Fernandes, E. A. de N., Bacchi, M. A., & Sarriés, G. A. (2025). Leveraging pre-trained computer vision models for accurate classification of meat freshness. Food Chemistry, 495, 1-11. doi:10.1016/j.foodchem.2025.146430
NLM
Hidalgo MM, Lima RC de, Fernandes EA de N, Bacchi MA, Sarriés GA. Leveraging pre-trained computer vision models for accurate classification of meat freshness [Internet]. Food Chemistry. 2025 ; 495 1-11.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1016/j.foodchem.2025.146430
Vancouver
Hidalgo MM, Lima RC de, Fernandes EA de N, Bacchi MA, Sarriés GA. Leveraging pre-trained computer vision models for accurate classification of meat freshness [Internet]. Food Chemistry. 2025 ; 495 1-11.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1016/j.foodchem.2025.146430
Parte de monografia/livro
Elementos químicos (2024)
França, Elvis J. de; Fernandes, Elisabete A. De Nadai ; Elias, Camila; Ferrari, Angela A; Bacchi, Márcio Arruda
Source: Florestas do estado de São Paulo : uma experiência multidisciplinar em 40 hectares de parcelas permanentes. Unidade: CENA
Subjects: ELEMENTOS QUÍMICOS, FLORESTAS TROPICAIS, FOLHAS (PLANTAS), QUÍMICA DO SOLO
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ABNT
FRANÇA, Elvis J. de et al. Elementos químicos. Florestas do estado de São Paulo : uma experiência multidisciplinar em 40 hectares de parcelas permanentes. Tradução . São Paulo, SP: Edusp, 2024. p. 459 : il. . Acesso em: 23 fev. 2026.
APA
França, E. J. de, Fernandes, E. A. D. N., Elias, C., Ferrari, A. A., & Bacchi, M. A. (2024). Elementos químicos. In Florestas do estado de São Paulo : uma experiência multidisciplinar em 40 hectares de parcelas permanentes (p. 459 : il). São Paulo, SP: Edusp.
NLM
França EJ de, Fernandes EADN, Elias C, Ferrari AA, Bacchi MA. Elementos químicos. In: Florestas do estado de São Paulo : uma experiência multidisciplinar em 40 hectares de parcelas permanentes. São Paulo, SP: Edusp; 2024. p. 459 : il.[citado 2026 fev. 23 ]
Vancouver
França EJ de, Fernandes EADN, Elias C, Ferrari AA, Bacchi MA. Elementos químicos. In: Florestas do estado de São Paulo : uma experiência multidisciplinar em 40 hectares de parcelas permanentes. São Paulo, SP: Edusp; 2024. p. 459 : il.[citado 2026 fev. 23 ]
Artigo de periodico
Elemental profile of Ipê species to support timber tracing in Amazon rainforest (2024)
Moreira, Gabriele Rossini ; Fernandes, Elisabete A. De Nadai ; Bacchi, Márcio Arruda ; Gonzaga, Cláudio Luis; Lima, Robson Campos de
Source: Trees, Forests and People. Unidade: CENA
Subjects: EXTRAÇÃO DE MADEIRA, NÊUTRONS, GEOGRAFIA
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ABNT
MOREIRA, Gabriele Rossini et al. Elemental profile of Ipê species to support timber tracing in Amazon rainforest. Trees, Forests and People, v. 18, p. 1-5, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.tfp.2024.100689. Acesso em: 23 fev. 2026.
APA
Moreira, G. R., Fernandes, E. A. D. N., Bacchi, M. A., Gonzaga, C. L., & Lima, R. C. de. (2024). Elemental profile of Ipê species to support timber tracing in Amazon rainforest. Trees, Forests and People, 18, 1-5. doi:10.1016/j.tfp.2024.100689
NLM
Moreira GR, Fernandes EADN, Bacchi MA, Gonzaga CL, Lima RC de. Elemental profile of Ipê species to support timber tracing in Amazon rainforest [Internet]. Trees, Forests and People. 2024 ; 18 1-5.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1016/j.tfp.2024.100689
Vancouver
Moreira GR, Fernandes EADN, Bacchi MA, Gonzaga CL, Lima RC de. Elemental profile of Ipê species to support timber tracing in Amazon rainforest [Internet]. Trees, Forests and People. 2024 ; 18 1-5.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1016/j.tfp.2024.100689
Artigo de periodico
Neutron activation analysis for development of organic coffee leaves reference material (2024)
Lima, Letícia de ; Fernandes, Elisabete A. De Nadai ; Sarriés, Silvana Regina Vicino; Bacchi, Márcio Arruda ; Lima, Robson Campos de ; Moreira, Gabriele Rossini
Source: Journal of Radioanalytical and Nuclear Chemistry. Unidade: CENA
Subjects: CAFÉ, NUTRIÇÃO MINERAL, ELEMENTOS QUÍMICOS, METROLOGIA
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ABNT
LIMA, Letícia de et al. Neutron activation analysis for development of organic coffee leaves reference material. Journal of Radioanalytical and Nuclear Chemistry, p. 1-8, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10967-024-09745-7. Acesso em: 23 fev. 2026.
APA
Lima, L. de, Fernandes, E. A. D. N., Sarriés, S. R. V., Bacchi, M. A., Lima, R. C. de, & Moreira, G. R. (2024). Neutron activation analysis for development of organic coffee leaves reference material. Journal of Radioanalytical and Nuclear Chemistry, 1-8. doi:10.1007/s10967-024-09745-7
NLM
Lima L de, Fernandes EADN, Sarriés SRV, Bacchi MA, Lima RC de, Moreira GR. Neutron activation analysis for development of organic coffee leaves reference material [Internet]. Journal of Radioanalytical and Nuclear Chemistry. 2024 ; 1-8.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1007/s10967-024-09745-7
Vancouver
Lima L de, Fernandes EADN, Sarriés SRV, Bacchi MA, Lima RC de, Moreira GR. Neutron activation analysis for development of organic coffee leaves reference material [Internet]. Journal of Radioanalytical and Nuclear Chemistry. 2024 ; 1-8.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1007/s10967-024-09745-7
Artigo de periodico
Quality control material of bovine tail hair for multi-element analysis (2024)
Moreira, Gabriele Rossini ; Fernandes, Elisabete A. De Nadai ; Bacchi, Márcio Arruda ; Gonzaga, Cláudio Luis
Source: Journal of Radioanalytical and Nuclear Chemistry. Unidade: CENA
Subjects: METROLOGIA, ESPECTROMETRIA DE MASSAS, BOVINOS
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ABNT
MOREIRA, Gabriele Rossini et al. Quality control material of bovine tail hair for multi-element analysis. Journal of Radioanalytical and Nuclear Chemistry, v. 333, p. 6715-6720, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10967-024-09856-1. Acesso em: 23 fev. 2026.
APA
Moreira, G. R., Fernandes, E. A. D. N., Bacchi, M. A., & Gonzaga, C. L. (2024). Quality control material of bovine tail hair for multi-element analysis. Journal of Radioanalytical and Nuclear Chemistry, 333, 6715-6720. doi:10.1007/s10967-024-09856-1
NLM
Moreira GR, Fernandes EADN, Bacchi MA, Gonzaga CL. Quality control material of bovine tail hair for multi-element analysis [Internet]. Journal of Radioanalytical and Nuclear Chemistry. 2024 ; 333 6715-6720.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1007/s10967-024-09856-1
Vancouver
Moreira GR, Fernandes EADN, Bacchi MA, Gonzaga CL. Quality control material of bovine tail hair for multi-element analysis [Internet]. Journal of Radioanalytical and Nuclear Chemistry. 2024 ; 333 6715-6720.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1007/s10967-024-09856-1
Artigo de periodico
Authentication of beef cuts by multielement and machine learning approaches (2023)
Mazola, Yuniel Tejeda ; Fernandes, Elisabete A. De Nadai ; Sarriés, Gabriel A ; Bacchi, Márcio A ; Gonzaga, Cláudio L
Source: Journal of Trace Elements in Medicine and Biology. Unidades: CENA, ESALQ
Subjects: ALGORITMOS, APRENDIZADO COMPUTACIONAL, BOVINOS DE CORTE, CARNES E DERIVADOS, CORTE
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ABNT
MAZOLA, Yuniel Tejeda et al. Authentication of beef cuts by multielement and machine learning approaches. Journal of Trace Elements in Medicine and Biology, v. 78, p. 1-7, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jtemb.2023.127164. Acesso em: 23 fev. 2026.
APA
Mazola, Y. T., Fernandes, E. A. D. N., Sarriés, G. A., Bacchi, M. A., & Gonzaga, C. L. (2023). Authentication of beef cuts by multielement and machine learning approaches. Journal of Trace Elements in Medicine and Biology, 78, 1-7. doi:10.1016/j.jtemb.2023.127164
NLM
Mazola YT, Fernandes EADN, Sarriés GA, Bacchi MA, Gonzaga CL. Authentication of beef cuts by multielement and machine learning approaches [Internet]. Journal of Trace Elements in Medicine and Biology. 2023 ; 78 1-7.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1016/j.jtemb.2023.127164
Vancouver
Mazola YT, Fernandes EADN, Sarriés GA, Bacchi MA, Gonzaga CL. Authentication of beef cuts by multielement and machine learning approaches [Internet]. Journal of Trace Elements in Medicine and Biology. 2023 ; 78 1-7.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1016/j.jtemb.2023.127164
Artigo de periodico
Stability of sodium mass fraction in agricultural certified reference materials (2022)
Bacchi, Marcio Arruda ; Fernandes, Elisabete A. De Nadai ; Mazola, Yuniel Tejeda ; Gonzaga, Claudio Luis
Source: Talanta Open. Unidade: CENA
Subjects: ALIMENTOS, SÓDIO, VIDRO, QUÍMICA ANALÍTICA INSTRUMENTAL
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ABNT
BACCHI, Marcio Arruda et al. Stability of sodium mass fraction in agricultural certified reference materials. Talanta Open, v. 5, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.talo.2022.100097. Acesso em: 23 fev. 2026.
APA
Bacchi, M. A., Fernandes, E. A. D. N., Mazola, Y. T., & Gonzaga, C. L. (2022). Stability of sodium mass fraction in agricultural certified reference materials. Talanta Open, 5. doi:10.1016/j.talo.2022.100097
NLM
Bacchi MA, Fernandes EADN, Mazola YT, Gonzaga CL. Stability of sodium mass fraction in agricultural certified reference materials [Internet]. Talanta Open. 2022 ; 5[citado 2026 fev. 23 ] Available from: https://doi.org/10.1016/j.talo.2022.100097
Vancouver
Bacchi MA, Fernandes EADN, Mazola YT, Gonzaga CL. Stability of sodium mass fraction in agricultural certified reference materials [Internet]. Talanta Open. 2022 ; 5[citado 2026 fev. 23 ] Available from: https://doi.org/10.1016/j.talo.2022.100097
Artigo de periodico
Elemental profile of dietary supplements and agricultural byproducts evaluated by neutron activation analysis (2022)
Fernandes, Elisabete A. De Nadai ; Furlan, Gustavo Nazato ; Lima, Robson Campos de ; Bacchi, Márcio Arruda ; Sarriés, Silvana R. V; Sarriés, Gabriel Adrian
Source: Journal of Radioanalytical and Nuclear Chemistry. Unidades: CENA, ESALQ, Interunidades em Ecologia Aplicada
Subjects: DIETA, NUTRIÇÃO HUMANA, RADIOANÁLISE, NÊUTRONS, SUBPRODUTOS AGRÍCOLAS, SUPLEMENTOS DIETÉTICOS, VALOR NUTRITIVO
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ABNT
FERNANDES, Elisabete A. De Nadai et al. Elemental profile of dietary supplements and agricultural byproducts evaluated by neutron activation analysis. Journal of Radioanalytical and Nuclear Chemistry, v. 331, p. 5487–5492, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10967-022-08662-x. Acesso em: 23 fev. 2026.
APA
Fernandes, E. A. D. N., Furlan, G. N., Lima, R. C. de, Bacchi, M. A., Sarriés, S. R. V., & Sarriés, G. A. (2022). Elemental profile of dietary supplements and agricultural byproducts evaluated by neutron activation analysis. Journal of Radioanalytical and Nuclear Chemistry, 331, 5487–5492. doi:10.1007/s10967-022-08662-x
NLM
Fernandes EADN, Furlan GN, Lima RC de, Bacchi MA, Sarriés SRV, Sarriés GA. Elemental profile of dietary supplements and agricultural byproducts evaluated by neutron activation analysis [Internet]. Journal of Radioanalytical and Nuclear Chemistry. 2022 ;331 5487–5492.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1007/s10967-022-08662-x
Vancouver
Fernandes EADN, Furlan GN, Lima RC de, Bacchi MA, Sarriés SRV, Sarriés GA. Elemental profile of dietary supplements and agricultural byproducts evaluated by neutron activation analysis [Internet]. Journal of Radioanalytical and Nuclear Chemistry. 2022 ;331 5487–5492.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1007/s10967-022-08662-x
Artigo de periodico
Elemental profile of tail hair to evaluate nutritional status of Angus, Nelore and Wagyu cattle breeds (2022)
Moreira, Gabriele R ; Fernandes, Elisabete A. De Nadai ; Mazola, Yuniel T ; Bacchi, Márcio A ; Sarriés, Gabriel Adrian ; Gonzaga, Cláudio L
Source: Journal of Radioanalytical and Nuclear Chemistry. Unidades: CENA, ESALQ
Assunto: PÊLOS DE ANIMAL
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ABNT
MOREIRA, Gabriele R et al. Elemental profile of tail hair to evaluate nutritional status of Angus, Nelore and Wagyu cattle breeds. Journal of Radioanalytical and Nuclear Chemistry, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10967-022-08553-1. Acesso em: 23 fev. 2026.
APA
Moreira, G. R., Fernandes, E. A. D. N., Mazola, Y. T., Bacchi, M. A., Sarriés, G. A., & Gonzaga, C. L. (2022). Elemental profile of tail hair to evaluate nutritional status of Angus, Nelore and Wagyu cattle breeds. Journal of Radioanalytical and Nuclear Chemistry. doi:10.1007/s10967-022-08553-1
NLM
Moreira GR, Fernandes EADN, Mazola YT, Bacchi MA, Sarriés GA, Gonzaga CL. Elemental profile of tail hair to evaluate nutritional status of Angus, Nelore and Wagyu cattle breeds [Internet]. Journal of Radioanalytical and Nuclear Chemistry. 2022 ;[citado 2026 fev. 23 ] Available from: https://doi.org/10.1007/s10967-022-08553-1
Vancouver
Moreira GR, Fernandes EADN, Mazola YT, Bacchi MA, Sarriés GA, Gonzaga CL. Elemental profile of tail hair to evaluate nutritional status of Angus, Nelore and Wagyu cattle breeds [Internet]. Journal of Radioanalytical and Nuclear Chemistry. 2022 ;[citado 2026 fev. 23 ] Available from: https://doi.org/10.1007/s10967-022-08553-1
Artigo de periodico
Pet food categorization by neutron activation analysis and data science (2022)
Lima, Robson C. de ; Fernandes, Elisabete A. De Nadai ; Mazola, Yuniel T ; Bacchi, Márcio A ; Sarriés, Gabriel Adrian ; Furlan, Gustavo N
Source: Journal of Radioanalytical and Nuclear Chemistry. Unidades: CENA, ESALQ, Interunidades em Ecologia Aplicada
Subjects: APRENDIZADO COMPUTACIONAL, GATOS, MARCAS COMERCIAIS, NÊUTRONS, NUTRIÇÃO ANIMAL, RAÇÃO, RADIOANÁLISE
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ABNT
LIMA, Robson C. de et al. Pet food categorization by neutron activation analysis and data science. Journal of Radioanalytical and Nuclear Chemistry, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10967-022-08547-z. Acesso em: 23 fev. 2026.
APA
Lima, R. C. de, Fernandes, E. A. D. N., Mazola, Y. T., Bacchi, M. A., Sarriés, G. A., & Furlan, G. N. (2022). Pet food categorization by neutron activation analysis and data science. Journal of Radioanalytical and Nuclear Chemistry. doi:10.1007/s10967-022-08547-z
NLM
Lima RC de, Fernandes EADN, Mazola YT, Bacchi MA, Sarriés GA, Furlan GN. Pet food categorization by neutron activation analysis and data science [Internet]. Journal of Radioanalytical and Nuclear Chemistry. 2022 ;[citado 2026 fev. 23 ] Available from: https://doi.org/10.1007/s10967-022-08547-z
Vancouver
Lima RC de, Fernandes EADN, Mazola YT, Bacchi MA, Sarriés GA, Furlan GN. Pet food categorization by neutron activation analysis and data science [Internet]. Journal of Radioanalytical and Nuclear Chemistry. 2022 ;[citado 2026 fev. 23 ] Available from: https://doi.org/10.1007/s10967-022-08547-z
Artigo de periodico
Optimization of sample preparation of Brazilian honeys for TQ-ICP-MS analysis (2022)
Luccas, Fernanda Susi ; Fernandes, Elisabete A. De Nadai ; Mazola, Yuniel Tejeda ; Bacchi, Marcio Arruda ; Sarries, Gabriel Adrian
Source: Talanta Open. Unidades: CENA, ESALQ
Subjects: MEL, QUIMIOMETRIA, DENOMINAÇÃO DE ORIGEM
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ABNT
LUCCAS, Fernanda Susi et al. Optimization of sample preparation of Brazilian honeys for TQ-ICP-MS analysis. Talanta Open, v. 5, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.talo.2022.100117. Acesso em: 23 fev. 2026.
APA
Luccas, F. S., Fernandes, E. A. D. N., Mazola, Y. T., Bacchi, M. A., & Sarries, G. A. (2022). Optimization of sample preparation of Brazilian honeys for TQ-ICP-MS analysis. Talanta Open, 5. doi:10.1016/j.talo.2022.100117
NLM
Luccas FS, Fernandes EADN, Mazola YT, Bacchi MA, Sarries GA. Optimization of sample preparation of Brazilian honeys for TQ-ICP-MS analysis [Internet]. Talanta Open. 2022 ;5[citado 2026 fev. 23 ] Available from: https://doi.org/10.1016/j.talo.2022.100117
Vancouver
Luccas FS, Fernandes EADN, Mazola YT, Bacchi MA, Sarries GA. Optimization of sample preparation of Brazilian honeys for TQ-ICP-MS analysis [Internet]. Talanta Open. 2022 ;5[citado 2026 fev. 23 ] Available from: https://doi.org/10.1016/j.talo.2022.100117
Artigo de periodico
Machine learning to support geographical origin traceability of Coffea arabica (2022)
Fernandes, Elisabete A. De Nadai ; Sarries, Gabriel Adrian ; Mazola, Yuniel Tejeda; Lima, Robson C.; Furlan, Gustavo Nazato; Bacchi, Marcio Arruda
Source: Advances in Artificial Intelligence and Machine Learning. Research. Unidades: CENA, ESALQ, Interunidades em Ecologia Aplicada
Subjects: APRENDIZADO COMPUTACIONAL, CAFÉ, DENOMINAÇÃO DE ORIGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERNANDES, Elisabete A. De Nadai et al. Machine learning to support geographical origin traceability of Coffea arabica. Advances in Artificial Intelligence and Machine Learning. Research, v. 2, n. 1, p. 273-287, 2022Tradução . . Disponível em: https://doi.org/10.54364/AAIML.2022.1118. Acesso em: 23 fev. 2026.
APA
Fernandes, E. A. D. N., Sarries, G. A., Mazola, Y. T., Lima, R. C., Furlan, G. N., & Bacchi, M. A. (2022). Machine learning to support geographical origin traceability of Coffea arabica. Advances in Artificial Intelligence and Machine Learning. Research, 2( 1), 273-287. doi:10.54364/AAIML.2022.1118
NLM
Fernandes EADN, Sarries GA, Mazola YT, Lima RC, Furlan GN, Bacchi MA. Machine learning to support geographical origin traceability of Coffea arabica [Internet]. Advances in Artificial Intelligence and Machine Learning. Research. 2022 ; 2( 1): 273-287.[citado 2026 fev. 23 ] Available from: https://doi.org/10.54364/AAIML.2022.1118
Vancouver
Fernandes EADN, Sarries GA, Mazola YT, Lima RC, Furlan GN, Bacchi MA. Machine learning to support geographical origin traceability of Coffea arabica [Internet]. Advances in Artificial Intelligence and Machine Learning. Research. 2022 ; 2( 1): 273-287.[citado 2026 fev. 23 ] Available from: https://doi.org/10.54364/AAIML.2022.1118
Artigo de periodico
Discriminating beef producing countries by multi-element analysis and machine learning (2021)
Fernandes, Elisabete A. De Nadai ; Mazola, Yuniel Tejeda ; Bacchi, Márcio Arruda ; Gonzaga, Cláudio Luis; Sarriés, Silvana R. V; Sarriés, Gabriel Adrian ; Bode, Peter
Source: Advances in Artificial Intelligence and Machine Learning. Unidades: CENA, ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, BOVINOS DE CORTE, CARNES E DERIVADOS, SUSTENTABILIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERNANDES, Elisabete A. De Nadai et al. Discriminating beef producing countries by multi-element analysis and machine learning. Advances in Artificial Intelligence and Machine Learning, v. 1, n. 1, p. 12-25, 2021Tradução . . Disponível em: https://doi.org/10.54364/AAIML.2021.1101. Acesso em: 23 fev. 2026.
APA
Fernandes, E. A. D. N., Mazola, Y. T., Bacchi, M. A., Gonzaga, C. L., Sarriés, S. R. V., Sarriés, G. A., & Bode, P. (2021). Discriminating beef producing countries by multi-element analysis and machine learning. Advances in Artificial Intelligence and Machine Learning, 1( 1), 12-25. doi:10.54364/AAIML.2021.1101
NLM
Fernandes EADN, Mazola YT, Bacchi MA, Gonzaga CL, Sarriés SRV, Sarriés GA, Bode P. Discriminating beef producing countries by multi-element analysis and machine learning [Internet]. Advances in Artificial Intelligence and Machine Learning. 2021 ; 1( 1): 12-25.[citado 2026 fev. 23 ] Available from: https://doi.org/10.54364/AAIML.2021.1101
Vancouver
Fernandes EADN, Mazola YT, Bacchi MA, Gonzaga CL, Sarriés SRV, Sarriés GA, Bode P. Discriminating beef producing countries by multi-element analysis and machine learning [Internet]. Advances in Artificial Intelligence and Machine Learning. 2021 ; 1( 1): 12-25.[citado 2026 fev. 23 ] Available from: https://doi.org/10.54364/AAIML.2021.1101
Artigo de periodico
Trace elements and machine learning for Brazilian beef traceability (2020)
Fernandes, Elisabete A. De Nadai ; Sarries, Gabriel Adrian ; Bacchi, Marcio Arruda; Mazola, Yuniel Tejeda ; Gonzaga, Claudio Luis; Sarriés, Silvana Regina Vicino
Source: Food Chemistry. Unidades: CENA, ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, BOVINOS DE CORTE, CARNES E DERIVADOS, COMPONENTES PRINCIPAIS, OLIGOELEMENTOS, RASTREAMENTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERNANDES, Elisabete A. De Nadai et al. Trace elements and machine learning for Brazilian beef traceability. Food Chemistry, v. 333, p. 1-6 , 2020Tradução . . Disponível em: https://doi.org/10.1016/j.foodchem.2020.12746. Acesso em: 23 fev. 2026.
APA
Fernandes, E. A. D. N., Sarries, G. A., Bacchi, M. A., Mazola, Y. T., Gonzaga, C. L., & Sarriés, S. R. V. (2020). Trace elements and machine learning for Brazilian beef traceability. Food Chemistry, 333, 1-6 . doi:10.1016/j.foodchem.2020.12746
NLM
Fernandes EADN, Sarries GA, Bacchi MA, Mazola YT, Gonzaga CL, Sarriés SRV. Trace elements and machine learning for Brazilian beef traceability [Internet]. Food Chemistry. 2020 ; 333 1-6 .[citado 2026 fev. 23 ] Available from: https://doi.org/10.1016/j.foodchem.2020.12746
Vancouver
Fernandes EADN, Sarries GA, Bacchi MA, Mazola YT, Gonzaga CL, Sarriés SRV. Trace elements and machine learning for Brazilian beef traceability [Internet]. Food Chemistry. 2020 ; 333 1-6 .[citado 2026 fev. 23 ] Available from: https://doi.org/10.1016/j.foodchem.2020.12746
Artigo de periodico
Temporal variability of rare earth elements in Ultisol soil under citrus plants (2020)
Turra, Christian ; Fernandes, Elisabete A. De Nadai ; Bacchi, Marcio Arruda; Sarries, Gabriel Adrian ; Reyes, Andres Enrique Lai
Source: Journal of Radioanalytical and Nuclear Chemistry. Unidades: CENA, ESALQ
Subjects: TERRAS RARAS, VARIABILIDADE ESPACIAL, CITRICULTURA, SOLOS, ECOSSISTEMAS AGRÍCOLAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TURRA, Christian et al. Temporal variability of rare earth elements in Ultisol soil under citrus plants. Journal of Radioanalytical and Nuclear Chemistry, p. 1-6, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10967-020-07036-5. Acesso em: 23 fev. 2026.
APA
Turra, C., Fernandes, E. A. D. N., Bacchi, M. A., Sarries, G. A., & Reyes, A. E. L. (2020). Temporal variability of rare earth elements in Ultisol soil under citrus plants. Journal of Radioanalytical and Nuclear Chemistry, 1-6. doi:10.1007/s10967-020-07036-5
NLM
Turra C, Fernandes EADN, Bacchi MA, Sarries GA, Reyes AEL. Temporal variability of rare earth elements in Ultisol soil under citrus plants [Internet]. Journal of Radioanalytical and Nuclear Chemistry. 2020 ; 1-6.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1007/s10967-020-07036-5
Vancouver
Turra C, Fernandes EADN, Bacchi MA, Sarries GA, Reyes AEL. Temporal variability of rare earth elements in Ultisol soil under citrus plants [Internet]. Journal of Radioanalytical and Nuclear Chemistry. 2020 ; 1-6.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1007/s10967-020-07036-5
Trabalho de evento-resumo
Neutron activation analysis and data mining techniques to discriminate beef cattle feed (2019)
Mazola, Yuniel Tejeda; Fernandes, Elisabete A. De Nadai ; Bacchi, Márcio Arruda; Sarríes, Gabriel Adrián ; Gonzaga, Claudio Luis
Source: Book of Abstracts. Conference titles: International Conference on Radioanalytical and Nuclear Chemistry. Unidades: CENA, ESALQ
Subjects: ALIMENTAÇÃO ANIMAL, BOVINOS DE CORTE, MINERAÇÃO DE DADOS, NÊUTRONS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MAZOLA, Yuniel Tejeda et al. Neutron activation analysis and data mining techniques to discriminate beef cattle feed. 2019, Anais.. [S.l.]: Budapest, 2019. . Acesso em: 23 fev. 2026.
APA
Mazola, Y. T., Fernandes, E. A. D. N., Bacchi, M. A., Sarríes, G. A., & Gonzaga, C. L. (2019). Neutron activation analysis and data mining techniques to discriminate beef cattle feed. In Book of Abstracts. Budapest.
NLM
Mazola YT, Fernandes EADN, Bacchi MA, Sarríes GA, Gonzaga CL. Neutron activation analysis and data mining techniques to discriminate beef cattle feed. Book of Abstracts. 2019 ;[citado 2026 fev. 23 ]
Vancouver
Mazola YT, Fernandes EADN, Bacchi MA, Sarríes GA, Gonzaga CL. Neutron activation analysis and data mining techniques to discriminate beef cattle feed. Book of Abstracts. 2019 ;[citado 2026 fev. 23 ]
Artigo de periodico
Neutron activation analysis and data mining techniques to discriminate between beef cattle diets (2019)
Tejeda Mazola, Yuniel ; Fernandes, Elisabete A. De Nadai ; Sarriés, Gabriel Adrian; Bacchi, Márcio Arruda; Gonzaga, Cláudio Luis
Source: Journal of Radioanalytical and Nuclear Chemistry. Unidades: CENA, ESALQ
Subjects: ANÁLISE DE ALIMENTOS PARA ANIMAL, BOVINOS DE CORTE, COMPOSIÇÃO QUÍMICA, DIETA ANIMAL, MINERAÇÃO DE DADOS, NÊUTRONS, OLIGOELEMENTOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TEJEDA MAZOLA, Yuniel et al. Neutron activation analysis and data mining techniques to discriminate between beef cattle diets. Journal of Radioanalytical and Nuclear Chemistry, p. 1-8, 2019Tradução . . Disponível em: https://doi.org/10.1007/s10967-019-06874-2. Acesso em: 23 fev. 2026.
APA
Tejeda Mazola, Y., Fernandes, E. A. D. N., Sarriés, G. A., Bacchi, M. A., & Gonzaga, C. L. (2019). Neutron activation analysis and data mining techniques to discriminate between beef cattle diets. Journal of Radioanalytical and Nuclear Chemistry, 1-8. doi:10.1007/s10967-019-06874-2
NLM
Tejeda Mazola Y, Fernandes EADN, Sarriés GA, Bacchi MA, Gonzaga CL. Neutron activation analysis and data mining techniques to discriminate between beef cattle diets [Internet]. Journal of Radioanalytical and Nuclear Chemistry. 2019 ; 1-8.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1007/s10967-019-06874-2
Vancouver
Tejeda Mazola Y, Fernandes EADN, Sarriés GA, Bacchi MA, Gonzaga CL. Neutron activation analysis and data mining techniques to discriminate between beef cattle diets [Internet]. Journal of Radioanalytical and Nuclear Chemistry. 2019 ; 1-8.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1007/s10967-019-06874-2

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