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Lipid profile and fatty acid composition of marine fish species from Northeast coast of Brazil.

Journal of food science and technology

Gonçalves RM, Petenuci ME, Maistrovicz FC, Galuch MB, Montanher PF, Pizzo JS, Gualda IP, Visentainer JV.
PMID: 33678899
J Food Sci Technol. 2021 Mar;58(3):1177-1189. doi: 10.1007/s13197-020-04631-y. Epub 2020 Jul 08.

Total lipid content, fatty acid composition and nutritional profile of lipid fraction of fourteen fish species from the Brazilian Northeastern coast were evaluated. Lipid content was determined by Bligh and Dyer methodology, whereas the fatty acid composition was determined...

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Gonçalves RM, Petenuci ME, Maistrovicz FC, et al. Lipid profile and fatty acid composition of marine fish species from Northeast coast of Brazil. J Food Sci Technol. 2020;58(3):1177-1189doi: 10.1007/s13197-020-04631-y.
Gonçalves, R. M., Petenuci, M. E., Maistrovicz, F. C., Galuch, M. B., Montanher, P. F., Pizzo, J. S., Gualda, I. P., & Visentainer, J. V. (2021). Lipid profile and fatty acid composition of marine fish species from Northeast coast of Brazil. Journal of food science and technology, 58(3), 1177-1189. https://doi.org/10.1007/s13197-020-04631-y
Gonçalves, Renata Menoci, et al. "Lipid profile and fatty acid composition of marine fish species from Northeast coast of Brazil." Journal of food science and technology vol. 58,3 (2021): 1177-1189. doi: https://doi.org/10.1007/s13197-020-04631-y
Gonçalves RM, Petenuci ME, Maistrovicz FC, Galuch MB, Montanher PF, Pizzo JS, Gualda IP, Visentainer JV. Lipid profile and fatty acid composition of marine fish species from Northeast coast of Brazil. J Food Sci Technol. 2021 Mar;58(3):1177-1189. doi: 10.1007/s13197-020-04631-y. Epub 2020 Jul 08. PMID: 33678899; PMCID: PMC7884487.
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Aggregation Behavior of Several Ionic Liquids in Molecular Solvents of Low Polarity--Indication of a Bimodal Distribution.

Chemphyschem : a European journal of chemical physics and physical chemistry

Cade EA, Petenuci J, Hoffmann MM.
PMID: 26684927
Chemphyschem. 2016 Feb 16;17(4):520-9. doi: 10.1002/cphc.201500990. Epub 2016 Jan 11.

The structure and dynamics of ion pairing and aggregation is studied by concentration- and temperature-dependent measurements of (1) H and (19) F self-diffusion coefficients, viscosity, and conductivity for the following five solutions: 1-alkyl-3-methylimidazolium bis(trifluoromethylsulfonyl)amide ([Cn mim][NTf2], n=2, 4, 6)...

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Cade EA, Petenuci J, Hoffmann MM. Aggregation Behavior of Several Ionic Liquids in Molecular Solvents of Low Polarity--Indication of a Bimodal Distribution. Chemphyschem. 2016;17(4):520-9doi: 10.1002/cphc.201500990.
Cade, E. A., Petenuci, J., & Hoffmann, M. M. (2016). Aggregation Behavior of Several Ionic Liquids in Molecular Solvents of Low Polarity--Indication of a Bimodal Distribution. Chemphyschem : a European journal of chemical physics and physical chemistry, 17(4), 520-9. https://doi.org/10.1002/cphc.201500990
Cade, Elise A, et al. "Aggregation Behavior of Several Ionic Liquids in Molecular Solvents of Low Polarity--Indication of a Bimodal Distribution." Chemphyschem : a European journal of chemical physics and physical chemistry vol. 17,4 (2016): 520-9. doi: https://doi.org/10.1002/cphc.201500990
Cade EA, Petenuci J, Hoffmann MM. Aggregation Behavior of Several Ionic Liquids in Molecular Solvents of Low Polarity--Indication of a Bimodal Distribution. Chemphyschem. 2016 Feb 16;17(4):520-9. doi: 10.1002/cphc.201500990. Epub 2016 Jan 11. PMID: 26684927.
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Combining Machine Learning and Metabolomics to Identify Weight Gain Biomarkers.

Frontiers in bioengineering and biotechnology

Dias-Audibert FL, Navarro LC, de Oliveira DN, Delafiori J, Melo CFOR, Guerreiro TM, Rosa FT, Petenuci DL, Watanabe MAE, Velloso LA, Rocha AR, Catharino RR.
PMID: 32039191
Front Bioeng Biotechnol. 2020 Jan 24;8:6. doi: 10.3389/fbioe.2020.00006. eCollection 2020.

Weight gain is a metabolic disorder that often culminates in the development of obesity and other comorbidities such as diabetes. Obesity is characterized by the development of a chronic, subclinical systemic inflammation, and is regarded as a remarkably important...

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Dias-Audibert FL, Navarro LC, de Oliveira DN, et al. Combining Machine Learning and Metabolomics to Identify Weight Gain Biomarkers. Front Bioeng Biotechnol. 2020;8:6doi: 10.3389/fbioe.2020.00006.
Dias-Audibert, F. L., Navarro, L. C., de Oliveira, D. N., Delafiori, J., Melo, C. F. O. R., Guerreiro, T. M., Rosa, F. T., Petenuci, D. L., Watanabe, M. A. E., Velloso, L. A., Rocha, A. R., & Catharino, R. R. (2020). Combining Machine Learning and Metabolomics to Identify Weight Gain Biomarkers. Frontiers in bioengineering and biotechnology, 86. https://doi.org/10.3389/fbioe.2020.00006
Dias-Audibert, Flávia Luísa, et al. "Combining Machine Learning and Metabolomics to Identify Weight Gain Biomarkers." Frontiers in bioengineering and biotechnology vol. 8 (2020): 6. doi: https://doi.org/10.3389/fbioe.2020.00006
Dias-Audibert FL, Navarro LC, de Oliveira DN, Delafiori J, Melo CFOR, Guerreiro TM, Rosa FT, Petenuci DL, Watanabe MAE, Velloso LA, Rocha AR, Catharino RR. Combining Machine Learning and Metabolomics to Identify Weight Gain Biomarkers. Front Bioeng Biotechnol. 2020 Jan 24;8:6. doi: 10.3389/fbioe.2020.00006. eCollection 2020. PMID: 32039191; PMCID: PMC6993102.
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Transport Properties of the 1-Hexyl-3-methylimidazolium Bis(trifluoromethylsulfonyl)amide-Trichloromethane Binary System: Indication of Trichloromethane Segregation.

The journal of physical chemistry. B

Saeva DR, Petenuci J, Hoffmann MM.
PMID: 27557153
J Phys Chem B. 2016 Sep 15;120(36):9745-54. doi: 10.1021/acs.jpcb.6b06974. Epub 2016 Sep 01.

Self-diffusion coefficients and electrical conductivity were studied for the binary system 1-hexyl-3-methylimidazolium bis(trifluoromethylsulfonyl)amide-trichloromethane ([C6mim][NTf2]-CHCl3) as a function of composition and temperature. Self-diffusion coefficients of cation and anion are identical for ionic liquid mole fractions xIL < 0.95. The self-diffusion...

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Saeva DR, Petenuci J, Hoffmann MM. Transport Properties of the 1-Hexyl-3-methylimidazolium Bis(trifluoromethylsulfonyl)amide-Trichloromethane Binary System: Indication of Trichloromethane Segregation. J Phys Chem B. 2016;120(36):9745-54doi: 10.1021/acs.jpcb.6b06974.
Saeva, D. R., Petenuci, J., & Hoffmann, M. M. (2016). Transport Properties of the 1-Hexyl-3-methylimidazolium Bis(trifluoromethylsulfonyl)amide-Trichloromethane Binary System: Indication of Trichloromethane Segregation. The journal of physical chemistry. B, 120(36), 9745-54. https://doi.org/10.1021/acs.jpcb.6b06974
Saeva, David R, et al. "Transport Properties of the 1-Hexyl-3-methylimidazolium Bis(trifluoromethylsulfonyl)amide-Trichloromethane Binary System: Indication of Trichloromethane Segregation." The journal of physical chemistry. B vol. 120,36 (2016): 9745-54. doi: https://doi.org/10.1021/acs.jpcb.6b06974
Saeva DR, Petenuci J, Hoffmann MM. Transport Properties of the 1-Hexyl-3-methylimidazolium Bis(trifluoromethylsulfonyl)amide-Trichloromethane Binary System: Indication of Trichloromethane Segregation. J Phys Chem B. 2016 Sep 15;120(36):9745-54. doi: 10.1021/acs.jpcb.6b06974. Epub 2016 Sep 01. PMID: 27557153.
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New Insights Into Pheochromocytoma Surveillance of Young Patients With .

Journal of the Endocrine Society

Fagundes GFC, Petenuci J, Lourenco DM, Trarbach EB, Pereira MAA, Correa D'Eur JE, Hoff AO, Lerario AM, Zerbini MCN, Siqueira S, Yamauchi F, Srougi V, Tanno FY, Chambo JL, Latronico AC, Mendonca BB, Fragoso MCBV, Almeida MQ.
PMID: 31528828
J Endocr Soc. 2019 Jul 02;3(9):1682-1692. doi: 10.1210/js.2019-00225. eCollection 2019 Sep 01.

No abstract available.

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Fagundes GFC, Petenuci J, Lourenco DM, et al. New Insights Into Pheochromocytoma Surveillance of Young Patients With . J Endocr Soc. 2019;3(9):1682-1692doi: 10.1210/js.2019-00225.
Fagundes, G. F. C., Petenuci, J., Lourenco, D. M., Trarbach, E. B., Pereira, M. A. A., Correa D'Eur, J. E., Hoff, A. O., Lerario, A. M., Zerbini, M. C. N., Siqueira, S., Yamauchi, F., Srougi, V., Tanno, F. Y., Chambo, J. L., Latronico, A. C., Mendonca, B. B., Fragoso, M. C. B. V., & Almeida, M. Q. (2019). New Insights Into Pheochromocytoma Surveillance of Young Patients With . Journal of the Endocrine Society, 3(9), 1682-1692. https://doi.org/10.1210/js.2019-00225
Fagundes, Gustavo F C, et al. "New Insights Into Pheochromocytoma Surveillance of Young Patients With ." Journal of the Endocrine Society vol. 3,9 (2019): 1682-1692. doi: https://doi.org/10.1210/js.2019-00225
Fagundes GFC, Petenuci J, Lourenco DM, Trarbach EB, Pereira MAA, Correa D'Eur JE, Hoff AO, Lerario AM, Zerbini MCN, Siqueira S, Yamauchi F, Srougi V, Tanno FY, Chambo JL, Latronico AC, Mendonca BB, Fragoso MCBV, Almeida MQ. New Insights Into Pheochromocytoma Surveillance of Young Patients With . J Endocr Soc. 2019 Jul 02;3(9):1682-1692. doi: 10.1210/js.2019-00225. eCollection 2019 Sep 01. PMID: 31528828; PMCID: PMC6735756.
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Fatty acid composition and nutritional profiles of .

Journal of food science and technology

Petenuci ME, Dos Santos VJ, Gualda IP, Lopes AP, Schneider VVA, Dos Santos OO, Visentainer JV.
PMID: 30956335
J Food Sci Technol. 2019 Mar;56(3):1551-1558. doi: 10.1007/s13197-019-03654-4. Epub 2019 Feb 28.

This study evaluated the fatty acid composition and the nutritional profile of

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Petenuci ME, Dos Santos VJ, Gualda IP, et al. Fatty acid composition and nutritional profiles of . J Food Sci Technol. 2019;56(3):1551-1558doi: 10.1007/s13197-019-03654-4.
Petenuci, M. E., Dos Santos, V. J., Gualda, I. P., Lopes, A. P., Schneider, V. V. A., Dos Santos, O. O., & Visentainer, J. V. (2019). Fatty acid composition and nutritional profiles of . Journal of food science and technology, 56(3), 1551-1558. https://doi.org/10.1007/s13197-019-03654-4
Petenuci, Maria Eugênia, et al. "Fatty acid composition and nutritional profiles of ." Journal of food science and technology vol. 56,3 (2019): 1551-1558. doi: https://doi.org/10.1007/s13197-019-03654-4
Petenuci ME, Dos Santos VJ, Gualda IP, Lopes AP, Schneider VVA, Dos Santos OO, Visentainer JV. Fatty acid composition and nutritional profiles of . J Food Sci Technol. 2019 Mar;56(3):1551-1558. doi: 10.1007/s13197-019-03654-4. Epub 2019 Feb 28. PMID: 30956335; PMCID: PMC6423198.
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Wilms' tumor susceptibility: possible involvement of FOXP3 and CXCL12 genes.

Molecular and cellular pediatrics

Ozawa PM, Ariza CB, Losi-Guembarovski R, Guembarovski AL, de Oliveira CE, Banin-Hirata BK, Kishima MO, Petenuci DL, Watanabe MA.
PMID: 27830498
Mol Cell Pediatr. 2016 Dec;3(1):36. doi: 10.1186/s40348-016-0064-4. Epub 2016 Nov 10.

BACKGROUND: Wilms' tumor is an embryonal neoplasm of the kidney that accounts for approximately 6 % of all childhood tumors. The chemokine CXCL12 (C-X-C chemokine ligand 12) and its ligand CXCR4 (C-X-C chemokine receptor type 4) are involved in...

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Ozawa PM, Ariza CB, Losi-Guembarovski R, et al. Wilms' tumor susceptibility: possible involvement of FOXP3 and CXCL12 genes. Mol Cell Pediatr. 2016;3(1):36doi: 10.1186/s40348-016-0064-4.
Ozawa, P. M., Ariza, C. B., Losi-Guembarovski, R., Guembarovski, A. L., de Oliveira, C. E., Banin-Hirata, B. K., Kishima, M. O., Petenuci, D. L., & Watanabe, M. A. (2016). Wilms' tumor susceptibility: possible involvement of FOXP3 and CXCL12 genes. Molecular and cellular pediatrics, 3(1), 36. https://doi.org/10.1186/s40348-016-0064-4
Ozawa, Patricia Midori Murobushi, et al. "Wilms' tumor susceptibility: possible involvement of FOXP3 and CXCL12 genes." Molecular and cellular pediatrics vol. 3,1 (2016): 36. doi: https://doi.org/10.1186/s40348-016-0064-4
Ozawa PM, Ariza CB, Losi-Guembarovski R, Guembarovski AL, de Oliveira CE, Banin-Hirata BK, Kishima MO, Petenuci DL, Watanabe MA. Wilms' tumor susceptibility: possible involvement of FOXP3 and CXCL12 genes. Mol Cell Pediatr. 2016 Dec;3(1):36. doi: 10.1186/s40348-016-0064-4. Epub 2016 Nov 10. PMID: 27830498; PMCID: PMC5103003.
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Showing 1 to 7 of 7 entries