| |
|
|
| Registros recuperados : 22 | |
| 9. |  | NASCIMENTO, R. C.; MOREIRA, R.; RITO, F. V.; VENDRAMEL, S. M. R; SOUZA, S. L. Q.; ESCALEIRA, V. Determinação de metais traço em lixiviado gerado no processo de aterramento de resíduos urbanos da cidade do Rio de Janeiro. In: CONGRESSO BRASILEIRO DE QUÍMICA, 54., 2014, Natal. Anais... Natal: CBQ, 2014. 4 p.| Biblioteca(s): Embrapa Solos. |
|    |
| 12. | | NASCIMENTO, R. C. do; FERNANDES, M. S.; SANTANA, H.; CEREIJO, C.; GARCIA, L. C.; SIQUEIRA, F. G. de; BRASIL, B. dos S. A. F. Avaliação do cultivo de microalgas em fotobiorreatores de placas planas para a produção de biomassa e biorremediação de efluente da agroindústria de óleo de palma. In: ENCONTRO DE PESQUISA E INOVAÇÃO DA EMBRAPA AGROENERGIA, 3., 2016, Brasília, DF. Anais ... Brasília, DF: Embrapa, 2016. p. 102-109.| Biblioteca(s): Embrapa Agroenergia. |
| |
| 14. | | RIBEIRO, D. M.; NASCIMENTO, R. C. do; CEREIJO, C. R.; SANTANA, H.; GARCIA, L. C.; BRASIL, B. dos S. A. F. Caracterização da composição química da biomassa da microalga Chlamydomonas biconvexa cultivada em efluente da indústria de óleo de palma. In: ENCONTRO DE PESQUISA E INOVAÇÃO DA EMBRAPA AGROENERGIA, 4.,2017, Brasília, DF. Anais... Brasília, DF: Embrapa, 2017. p. 80-87.| Biblioteca(s): Embrapa Agroenergia. |
| |
| 15. | | FERNANDES, M. S.; MORAIS, P. B.; NASCIMENTO, R. C. do; GARCIA, L. C.; CAPDEVILLE, G. de; BRASIL, B. dos S. A. F. Efeito da morfologia celular e fase de crescimento algal na eficiência da criopreservação de microalgas. In: ENCONTRO DE PESQUISA E INOVAÇÃO DA EMBRAPA AGROENERGIA, 3., 2016, Brasília, DF. Anais ... Brasília, DF: Embrapa, 2016. p. 95-101.| Biblioteca(s): Embrapa Agroenergia. |
| |
| 17. | | PASCOAL, P. V.; RIBEIRO, D. M.; CEREIJO, C. R.; SANTANA, H.; NASCIMENTO, R. C.; STEINDORF, A. S.; GARCIA, L. C.; FORMIGHIERI, E. F.; BRASIL, B. dos S. A. F. Biochemical and phylogenetic characterization of the wastewater tolerant Chlamydomonas biconvexa Embrapa|LBA40 strain cultivated in palm oil mill effluent. PLoS One, v. 16, n. 4, e0249089, 2021.| Biblioteca(s): Embrapa Agroenergia. |
| |
| 18. | | SANTANA, H.; CEREIJO, C. R.; TELES, V. C.; NASCIMENTO, R. C.; FERNANDES, M. S.; BRUNALE, P.; CAMPANHA, R. B.; SOARES, I. P.; SILVA, F. C. P.; SABAINI, P. S.; SIQUEIRA, F. G. de; BRASIL, B. dos S. A. F. Microalgae cultivation in sugarcane vinasse: Selection, growth and biochemical characterization. Bioresource Technology, v. 228, p. 133-140, 2017.| Biblioteca(s): Embrapa Agroenergia. |
|  |
| 19. | | NASCIMENTO, T. R. do; BARDEN, H. S. S.; NASCIMENTO, R. C.; MARINHO, R. de C. N.; FERREIRA, T. D.; GAVA, C. A. T.; MARTINS, L. M. V.; FERNANDES JUNIOR, P. I. Caracterização fenotípica de bactérias diazotróficas endofíticas isoladas de milho BRS Caatingueiro. In: JORNADA DE INICIAÇÃO CIENTÍFICA DA EMBRAPA SEMIÁRIDO, 9., 2014, Petrolina. Anais... Petrolina: Embrapa Semiárido, 2014. p. 183-188. (Embrapa Semiárido. Documentos, 261).| Biblioteca(s): Embrapa Semiárido. |
| |
| 20. | | FURTADO, L. B.; ROCHA, J. C.; GOMES, J. A. C. P.; NASCIMENTO, R. C.; SEIDL, P. R.; GUIMARÃES, M. J. O. C.; TONON, R. V.; CABRAL, L. M. C.; MATTOS, G. N. Storage time evaluation of a residue from wine industry as a microencapsulated corrosion inhibitor for 1 M HCl. Materials Chemistry And Physics, v. 256, 123739, dec. 2020. p. 1-15.| Biblioteca(s): Embrapa Agroindústria de Alimentos. |
| |
| Registros recuperados : 22 | |
|
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Solos. |
|
Data corrente: |
05/05/2022 |
|
Data da última atualização: |
05/05/2022 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
Autoria: |
MAIA, A. J.; NASCIMENTO, R. C.; SILVA, Y. J. A. B. da; NASCIMENTO, C. W. A. do; MENDES, W. de S.; VERAS NETO, J. G.; ARAUJO FILHO, J. C. de; TIECHER, T.; SILVA, Y. J. A. B. da. |
|
Afiliação: |
ANGELO JAMIL MAIA, UFRPE; RENNAN CABRAL NASCIMENTO, UFRPE; YGOR JACQUES AGRA BEZERRA DA SILVA, UFRPE; CLÍSTENES WILLIAMS ARAÚJO DO NASCIMENTO, UFRPE; WANDERSON DE SOUSA MENDES, LEIBNIZ CENTRE FOR AGRICULTURAL LANDSCAPE RESEARCH (ZALF); JOSÉ GERMANO VERAS NETO, UFPB; JOSE COELHO DE ARAUJO FILHO, CNPS; TALES TIECHER, UFRGS; YURI JACQUES AGRA BEZERRA DA SILVA, UFPI. |
|
Título: |
Near-infrared spectroscopy for prediction of potentially toxic elements in soil and sediments from a semiarid and coastal humid tropical transitional river basin. |
|
Ano de publicação: |
2022 |
|
Fonte/Imprenta: |
Microchemical Journal, v. 179, 107544, Aug. 2022. |
|
DOI: |
https://doi.org/10.1016/j.microc.2022.107544 |
|
Idioma: |
Inglês |
|
Conteúdo: |
The input of potentially toxic elements (PTE) in river basins is a major environmental problem. PTE concentrations are determined using traditional analytical methods, which are mostly time consuming, expensive, and reliant on hazardous reagents. An alternative method to traditional chemical analysis is near-infrared (NIR) spectroscopy, which allows for the quantification of several PTEs through chemometric models. The aim of this study is to apply NIR spectroscopy for the prediction of PTE concentrations in the Ipojuca river basin, an area exposed to potential pollutant activities. We collected 145 soil samples and 33 bed sediments samples. All samples were ground and sieved at <- 100-um, and then analyzed for Al, Ce, Co, Cr, Fe, La, Mn, Mo, Ni, Pr, Sc, Sm, Sn, Sr, Th, Ti, V, and Y concentrations by inductively coupled plasma optical emission spectroscopy. Spectral data were retrieved from all samples using an FT-IR/NIR spectrometer in the range of 1000 - 2500 nm. The samples were subdivided into two sets: (i) soil and (ii) soil and bed sediments. Prediction models were built using the random forest algorithm (RF) and partial least squares regression (PLS) combined with different spectral preprocessing methods. Satisfactory results were obtained for Al, Ti, Sc, and V, and reasonable results for Fe, La, Mn, Pr, Sm, Sr, and Th. Our findings indicate that RF models obtains generally better results than PLS, and also that NIR spectroscopy can be a viable alternative assessment tool even in large areas with geochemical and pedological heterogeneity. MenosThe input of potentially toxic elements (PTE) in river basins is a major environmental problem. PTE concentrations are determined using traditional analytical methods, which are mostly time consuming, expensive, and reliant on hazardous reagents. An alternative method to traditional chemical analysis is near-infrared (NIR) spectroscopy, which allows for the quantification of several PTEs through chemometric models. The aim of this study is to apply NIR spectroscopy for the prediction of PTE concentrations in the Ipojuca river basin, an area exposed to potential pollutant activities. We collected 145 soil samples and 33 bed sediments samples. All samples were ground and sieved at <- 100-um, and then analyzed for Al, Ce, Co, Cr, Fe, La, Mn, Mo, Ni, Pr, Sc, Sm, Sn, Sr, Th, Ti, V, and Y concentrations by inductively coupled plasma optical emission spectroscopy. Spectral data were retrieved from all samples using an FT-IR/NIR spectrometer in the range of 1000 - 2500 nm. The samples were subdivided into two sets: (i) soil and (ii) soil and bed sediments. Prediction models were built using the random forest algorithm (RF) and partial least squares regression (PLS) combined with different spectral preprocessing methods. Satisfactory results were obtained for Al, Ti, Sc, and V, and reasonable results for Fe, La, Mn, Pr, Sm, Sr, and Th. Our findings indicate that RF models obtains generally better results than PLS, and also that NIR spectroscopy can be a viable alternative assessment ... Mostrar Tudo |
|
Palavras-Chave: |
Aprendizado de máquina; Contamination; Espectroscopia; Gestão de recursos hídricos; Hydrological monitoring; Infravermelho; Machine learning; Monitoramento hidrológico; Soil sensing; Water resources management. |
|
Thesagro: |
Contaminação. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
Marc: |
LEADER 02775naa a2200361 a 4500
001 2142678
005 2022-05-05
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.microc.2022.107544$2DOI
100 1 $aMAIA, A. J.
245 $aNear-infrared spectroscopy for prediction of potentially toxic elements in soil and sediments from a semiarid and coastal humid tropical transitional river basin.$h[electronic resource]
260 $c2022
520 $aThe input of potentially toxic elements (PTE) in river basins is a major environmental problem. PTE concentrations are determined using traditional analytical methods, which are mostly time consuming, expensive, and reliant on hazardous reagents. An alternative method to traditional chemical analysis is near-infrared (NIR) spectroscopy, which allows for the quantification of several PTEs through chemometric models. The aim of this study is to apply NIR spectroscopy for the prediction of PTE concentrations in the Ipojuca river basin, an area exposed to potential pollutant activities. We collected 145 soil samples and 33 bed sediments samples. All samples were ground and sieved at <- 100-um, and then analyzed for Al, Ce, Co, Cr, Fe, La, Mn, Mo, Ni, Pr, Sc, Sm, Sn, Sr, Th, Ti, V, and Y concentrations by inductively coupled plasma optical emission spectroscopy. Spectral data were retrieved from all samples using an FT-IR/NIR spectrometer in the range of 1000 - 2500 nm. The samples were subdivided into two sets: (i) soil and (ii) soil and bed sediments. Prediction models were built using the random forest algorithm (RF) and partial least squares regression (PLS) combined with different spectral preprocessing methods. Satisfactory results were obtained for Al, Ti, Sc, and V, and reasonable results for Fe, La, Mn, Pr, Sm, Sr, and Th. Our findings indicate that RF models obtains generally better results than PLS, and also that NIR spectroscopy can be a viable alternative assessment tool even in large areas with geochemical and pedological heterogeneity.
650 $aContaminação
653 $aAprendizado de máquina
653 $aContamination
653 $aEspectroscopia
653 $aGestão de recursos hídricos
653 $aHydrological monitoring
653 $aInfravermelho
653 $aMachine learning
653 $aMonitoramento hidrológico
653 $aSoil sensing
653 $aWater resources management
700 1 $aNASCIMENTO, R. C.
700 1 $aSILVA, Y. J. A. B. da
700 1 $aNASCIMENTO, C. W. A. do
700 1 $aMENDES, W. de S.
700 1 $aVERAS NETO, J. G.
700 1 $aARAUJO FILHO, J. C. de
700 1 $aTIECHER, T.
700 1 $aSILVA, Y. J. A. B. da
773 $tMicrochemical Journal$gv. 179, 107544, Aug. 2022.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Solos (CNPS) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
