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Registro Completo |
Biblioteca(s): |
Embrapa Suínos e Aves. |
Data corrente: |
12/08/2021 |
Data da última atualização: |
12/08/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
BEDIN, F. C. B.; FAUST, M. V.; GUARNERI, G. A.; ASSMANN, T. S.; LAFAY, C. B. B.; SOARES, L. F.; OLIVEIRA, P. A. V. de; SANTOS-TONIAL, L. M. dos. |
Afiliação: |
FLAVIA CHIAMULERA BORSATTI BEDIN, UTFPR; MATEUS VINICIUS FAUST, UTFPR; GIOVANNI ALFREDO GUARNERI, UTFPR; TANGRIANI SIMIONI ASSMANN, UTFPR; CINTIA BOEIRA BATISTA LAFAY, UTFPR; LISIANE FERNANDES SOARES, UTFPR; PAULO ARMANDO VICTORIA DE OLIVEIRA, CNPSA; LARISSA MACEDO DOS SANTOS-TONIAL, UTFPR. |
Título: |
NIR associated to PLS and SVM for fast and non-destructive determination of C, N, P, and K contents in poultry litter. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, v. 245, n. 118834, 2021. |
DOI: |
https://doi.org/10.1016/j.saa.2020.118834 |
Idioma: |
Inglês |
Conteúdo: |
Abstract: Using near-infrared (NIR) spectroscopy for poultry litter characterization can be a rapid, non-destructive, and low-cost alternative. This study aims to estimate the C, N, P, and K content in poultry litter samples using for first time NIR spectroscopy. For these purposes, the building models were carried out using Partial Least Squares (PLS) and Support VectorMachines (SVM)methods. A total of 160 litter sampleswere analyzed in poultry houses of different rearing systems, seeking the highest possible variability in their chemical composition. NIR spectroscopy, combinedwith PLS and SVMmethods, is an alternative method for non-destructive C, N, P, and K determination in poultry samples. The regression models using SVM provide better accuracy for all elements, laying the basis for the nonlinear regression approach's application. The K determination on poultry litter using NIR was possible only by the SVM model (R2 = 0.8620 and RPD = 2.7330). Conclusively, the predictive ability was improved using the SVM method. |
Palavras-Chave: |
Organic manures. |
Thesagro: |
Adubo Orgânico; Cama de Galinheiro; Frango; Raio Infravermelho. |
Thesaurus Nal: |
Aviculture; Litters (young animals); Near-infrared spectroscopy; Organic fertilizers; Organic wastes; Support vector machines. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02164naa a2200349 a 4500 001 2133512 005 2021-08-12 008 2021 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.saa.2020.118834$2DOI 100 1 $aBEDIN, F. C. B. 245 $aNIR associated to PLS and SVM for fast and non-destructive determination of C, N, P, and K contents in poultry litter.$h[electronic resource] 260 $c2021 520 $aAbstract: Using near-infrared (NIR) spectroscopy for poultry litter characterization can be a rapid, non-destructive, and low-cost alternative. This study aims to estimate the C, N, P, and K content in poultry litter samples using for first time NIR spectroscopy. For these purposes, the building models were carried out using Partial Least Squares (PLS) and Support VectorMachines (SVM)methods. A total of 160 litter sampleswere analyzed in poultry houses of different rearing systems, seeking the highest possible variability in their chemical composition. NIR spectroscopy, combinedwith PLS and SVMmethods, is an alternative method for non-destructive C, N, P, and K determination in poultry samples. The regression models using SVM provide better accuracy for all elements, laying the basis for the nonlinear regression approach's application. The K determination on poultry litter using NIR was possible only by the SVM model (R2 = 0.8620 and RPD = 2.7330). Conclusively, the predictive ability was improved using the SVM method. 650 $aAviculture 650 $aLitters (young animals) 650 $aNear-infrared spectroscopy 650 $aOrganic fertilizers 650 $aOrganic wastes 650 $aSupport vector machines 650 $aAdubo Orgânico 650 $aCama de Galinheiro 650 $aFrango 650 $aRaio Infravermelho 653 $aOrganic manures 700 1 $aFAUST, M. V. 700 1 $aGUARNERI, G. A. 700 1 $aASSMANN, T. S. 700 1 $aLAFAY, C. B. B. 700 1 $aSOARES, L. F. 700 1 $aOLIVEIRA, P. A. V. de 700 1 $aSANTOS-TONIAL, L. M. dos 773 $tSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy$gv. 245, n. 118834, 2021.
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Registro original: |
Embrapa Suínos e Aves (CNPSA) |
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Biblioteca(s): |
Embrapa Instrumentação. |
Data corrente: |
28/09/2022 |
Data da última atualização: |
22/01/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
SILVA, N. C. da; ASSIS, O. B. G. de; SARTORI, A. G. de O.; ALENCAR, S. M. de; MARTELLI-TOSI, M. |
Afiliação: |
ODILIO BENEDITO GARRIDO DE ASSIS, CNPDIA. |
Título: |
Chitosan suspension as extractor and encapsulating agent of phenolics from acerola by-product. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Food Research International, v. 161, e111855, 2022. |
Páginas: |
8 p. |
ISSN: |
0963-9969 |
DOI: |
https://doi.org/10.1016/j.foodres.2022.111855 |
Idioma: |
Inglês |
Conteúdo: |
The polymeric suspension of chitosan (Ch) has been an effective media for the extraction of total phenolic compounds (TPC) from the acerola by-product. It facilitates the subsequent production of nanoparticles loaded with the phenolics (Np-TPC) by ionic gelation. However, neither the effects of Ch concentration on encapsulation efficiency (EE%) of TPC nor which compounds are extracted in its media are known, being it the first objective of this study. The second objective was to analyze the stability of the Np-TPC under accelerated conditions and its release profile at pHs 3.0 and 7.0. The results showed that Ch does not affect the extraction of TPC. However, the EE increased from 35.0 to 48.1 % with the increase of Ch concentration (0.4 to 1.0 %). LC/ESI-QTOF MS analysis showed that phenolic acids and flavonoids are extracted in 0.8 % Ch medium. After encapsulation, microscopy images revealed particle sizes ranging between 110 and 150 nm. Additionally, the presence of phenolics did not change the stability of the particles under accelerated conditions and the actives were fully released into the released medium for 10 h. The Np-TPC suspension appears to be useful for the production of edible antioxidant coatings to preserve fruits/vegetables, with potential application as carrier of other food ingredients. |
Palavras-Chave: |
Active compounds; Drug carrier; Food residue; Nanoencapsulation. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1146931/1/P-Chitosan-suspension-as-extractor-and-encapsulating-agent-of-phenolics-from.pdf
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Marc: |
LEADER 02101naa a2200253 a 4500 001 2146931 005 2024-01-22 008 2022 bl uuuu u00u1 u #d 022 $a0963-9969 024 7 $ahttps://doi.org/10.1016/j.foodres.2022.111855$2DOI 100 1 $aSILVA, N. C. da 245 $aChitosan suspension as extractor and encapsulating agent of phenolics from acerola by-product.$h[electronic resource] 260 $c2022 300 $a8 p. 520 $aThe polymeric suspension of chitosan (Ch) has been an effective media for the extraction of total phenolic compounds (TPC) from the acerola by-product. It facilitates the subsequent production of nanoparticles loaded with the phenolics (Np-TPC) by ionic gelation. However, neither the effects of Ch concentration on encapsulation efficiency (EE%) of TPC nor which compounds are extracted in its media are known, being it the first objective of this study. The second objective was to analyze the stability of the Np-TPC under accelerated conditions and its release profile at pHs 3.0 and 7.0. The results showed that Ch does not affect the extraction of TPC. However, the EE increased from 35.0 to 48.1 % with the increase of Ch concentration (0.4 to 1.0 %). LC/ESI-QTOF MS analysis showed that phenolic acids and flavonoids are extracted in 0.8 % Ch medium. After encapsulation, microscopy images revealed particle sizes ranging between 110 and 150 nm. Additionally, the presence of phenolics did not change the stability of the particles under accelerated conditions and the actives were fully released into the released medium for 10 h. The Np-TPC suspension appears to be useful for the production of edible antioxidant coatings to preserve fruits/vegetables, with potential application as carrier of other food ingredients. 653 $aActive compounds 653 $aDrug carrier 653 $aFood residue 653 $aNanoencapsulation 700 1 $aASSIS, O. B. G. de 700 1 $aSARTORI, A. G. de O. 700 1 $aALENCAR, S. M. de 700 1 $aMARTELLI-TOSI, M. 773 $tFood Research International$gv. 161, e111855, 2022.
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