|
|
| Acesso ao texto completo restrito à biblioteca da Embrapa Instrumentação. Para informações adicionais entre em contato com cnpdia.biblioteca@embrapa.br. |
Registro Completo |
Biblioteca(s): |
Embrapa Instrumentação. |
Data corrente: |
24/03/2022 |
Data da última atualização: |
24/06/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
NICOLODELLI, G.; HERCULANO, R. D.; MARANGONI, B. S.; RIBEIRO, M. C. S.; MILORI, D. M. B. P.; MENEGATTI, C. R. |
Afiliação: |
DEBORA MARCONDES BASTOS PEREIRA, CNPDIA. |
Título: |
Differentiation of latex biomembrane with collagen and non-collagen using laser induced breakdown spectroscopy. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Materials Today Communications, v. 30, 103099, 2022. |
Páginas: |
1 - 7 |
ISSN: |
2352-4928 |
DOI: |
https://doi.org/10.1016/j.mtcomm.2021.103099 |
Idioma: |
Inglês |
Conteúdo: |
Studies on the interaction of a biomaterial with other components are important to enhance its positive effects and resolve its limitations. Therefore, the search for fast and low-cost techniques is essential for the analysis, characterization and differentiation of these biomaterials. Laser-induced breakdown spectroscopy (LIBS) is a multielemental, fast, with reduced analytical cost and environmentally clean technique that does not require the use of reagents for sample preparation. In this work, an elemental characterization of collagen and non-collagen latex samples was performed by LIBS technique. Multivariate analyzes, such as principal component analysis (PCA) and machine learning (ML) algorithms were applied on LIBS data in order to differentiate the classes. The main elements detected in the LIBS spectra examined were due to C, Fe, Mg, Ca, Na, H, N and K. The best results were achieved using LIBS spectral data from the specific range: 656.15–656.55 nm combined with 744.08–744.48 nm. The elements H and N were identified as the main discriminating factors between the samples studied. The leave one out cross-validation tests indicates that collagen latex biomembrane can be differentiated from non-collagen samples with 94.44% accuracy using the Weighted K-Nearest Neighbor algorithm. |
Palavras-Chave: |
Chemometric analysis; LIBS; Machine learning algorithms; Natural latex. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02138naa a2200265 a 4500 001 2141291 005 2022-06-24 008 2022 bl uuuu u00u1 u #d 022 $a2352-4928 024 7 $ahttps://doi.org/10.1016/j.mtcomm.2021.103099$2DOI 100 1 $aNICOLODELLI, G. 245 $aDifferentiation of latex biomembrane with collagen and non-collagen using laser induced breakdown spectroscopy.$h[electronic resource] 260 $c2022 300 $a1 - 7 520 $aStudies on the interaction of a biomaterial with other components are important to enhance its positive effects and resolve its limitations. Therefore, the search for fast and low-cost techniques is essential for the analysis, characterization and differentiation of these biomaterials. Laser-induced breakdown spectroscopy (LIBS) is a multielemental, fast, with reduced analytical cost and environmentally clean technique that does not require the use of reagents for sample preparation. In this work, an elemental characterization of collagen and non-collagen latex samples was performed by LIBS technique. Multivariate analyzes, such as principal component analysis (PCA) and machine learning (ML) algorithms were applied on LIBS data in order to differentiate the classes. The main elements detected in the LIBS spectra examined were due to C, Fe, Mg, Ca, Na, H, N and K. The best results were achieved using LIBS spectral data from the specific range: 656.15–656.55 nm combined with 744.08–744.48 nm. The elements H and N were identified as the main discriminating factors between the samples studied. The leave one out cross-validation tests indicates that collagen latex biomembrane can be differentiated from non-collagen samples with 94.44% accuracy using the Weighted K-Nearest Neighbor algorithm. 653 $aChemometric analysis 653 $aLIBS 653 $aMachine learning algorithms 653 $aNatural latex 700 1 $aHERCULANO, R. D. 700 1 $aMARANGONI, B. S. 700 1 $aRIBEIRO, M. C. S. 700 1 $aMILORI, D. M. B. P. 700 1 $aMENEGATTI, C. R. 773 $tMaterials Today Communications$gv. 30, 103099, 2022.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Instrumentação (CNPDIA) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
| Acesso ao texto completo restrito à biblioteca da Embrapa Trigo. Para informações adicionais entre em contato com cnpt.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Trigo. |
Data corrente: |
31/01/2002 |
Data da última atualização: |
26/03/2015 |
Tipo da produção científica: |
Boletim de Pesquisa e Desenvolvimento |
Autoria: |
SOUSA, C. N. A. de. |
Afiliação: |
CNPT. |
Título: |
Cultivares de trigo da Embrapa indicadas para cultivo no Brasil de 1975 a 2001. |
Ano de publicação: |
2001 |
Fonte/Imprenta: |
Passo Fundo: Embrapa Trigo, 2001. |
Páginas: |
44 p. |
Série: |
(Embrapa Trigo. Boletim de pesquisa e desenvolvimento, 2). |
ISSN: |
1676-4544 |
Idioma: |
Português |
Palavras-Chave: |
Brasil; Cultivar; Indicação; Wheats. |
Thesagro: |
Melhoramento; Trigo; Triticum Aestivum; Variedade. |
Thesaurus NAL: |
Brazil; plant breeding; varieties; wheat. |
Categoria do assunto: |
-- F Plantas e Produtos de Origem Vegetal |
Marc: |
LEADER 00737nam a2200277 a 4500 001 1850216 005 2015-03-26 008 2001 bl uuuu u0uu1 u #d 022 $a1676-4544 100 1 $aSOUSA, C. N. A. de 245 $aCultivares de trigo da Embrapa indicadas para cultivo no Brasil de 1975 a 2001. 260 $aPasso Fundo: Embrapa Trigo$c2001 300 $a44 p. 490 $a(Embrapa Trigo. Boletim de pesquisa e desenvolvimento, 2). 650 $aBrazil 650 $aplant breeding 650 $avarieties 650 $awheat 650 $aMelhoramento 650 $aTrigo 650 $aTriticum Aestivum 650 $aVariedade 653 $aBrasil 653 $aCultivar 653 $aIndicação 653 $aWheats
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Trigo (CNPT) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
Nenhum registro encontrado para a expressão de busca informada. |
|
|