Jorge C. Oliveira

Prof. Jorge C. Oliveira

orcid

Research Focus & Metrics

Academic Career Length

38Years (1989-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 1998 in Journal of Food Engineering
Verified
Journal Article
Closed access
Luís Miguel CunhaLuís Miguel Cunha
Luís Miguel Cunha
FOFernanda A.R. Oliveira
Fernanda A.R. Oliveira
JOJorge C. Oliveira
Jorge C. Oliveira

30 November 2011 in Experimental Diabetes Research
Verified
Journal Article
Open access
PDF file
CMCristina Mega
Cristina Mega
Edite Teixeira-LemosEdite Teixeira-Lemos
Edite Teixeira-Lemos
HVHelena Vala
Helena Vala
Rosa FernandesRosa Fernandes
Rosa Fernandes
Jorge OliveiraJorge Oliveira
Jorge Oliveira
Flávio ReisFlávio Reis
Flávio Reis
This study was performed to assess the effect of chronic low-dose sitagliptin, a dipeptidyl peptidase 4 inhibitor, on metabolic profile and on renal lesions aggravation in a rat model of type-2 diabetic nephropathy, the Zucker diabetic fatty (ZDF) rat. Diabetic and obese ZDF (fa/fa) rats and their controls ZDF (+/+) were treated for 6 weeks with vehicle (control) or sitagliptin (10 mg/kg/bw). Blood/serum glucose, HbA1c, insulin, Total-c, TGs, urea, and creatinine were assessed, as well as kidney glomerular and tubulointerstitial lesions (interstitial fibrosis/tubular atrophy), using a semiquantitative rating from 0 (absent/normal) to 3 (severe and extensive damage). Vascular lesions were scored from 0–2. Sitagliptin in the diabetic rats promoted an amelioration of glycemia, HbA1c, Total-c, and TGs, accompanied by a partial prevention of insulinopenia. Furthermore, together with urea increment prevention, renal lesions were ameliorated in the diabetic rats, including glomerular, tubulointerstitial, and vascular lesions, accompanied by reduced lipid peroxidation. In conclusion, chronic low-dose sitagliptin treatment was able to ameliorate diabetic nephropathy, which might represent a key step forward in the management of T2DM and this serious complication.

22 November 2010 in Critical Reviews in Food Science and Nutrition
Verified
Journal Article
Closed access
SKS. S. Kuang
S. S. Kuang
JOJorge C. Oliveira
Jorge C. Oliveira
ACAbina Crean
Abina Crean
Microencapsulation has been developed by the pharmaceutical industry as a means to control or modify the release of drug substances from drug delivery systems. In drug delivery systems microencapsulation is used to improve the bioavailability of drugs, control drug release kinetics, minimize drug side effects, and mask the bitter taste of drug substances. The application of microencapsulation has been extended to the food industry, typically for controlling the release of flavorings and the production of foods containing functional ingredients (e.g. probiotics and bioactive ingredients). Compared to the pharmaceutical industry, the food industry has lower profit margins and therefore the criteria in selecting a suitable microencapsulation technology are more stringent. The type of microcapsule (reservoir and matrix systems) produced and its resultant release properties are dependent on the microencapsulation technology, in addition to the physicochemical properties of the core and the shell materials. This review discusses the factors that affect the release of bioactive ingredients from microcapsules produced by different microencapsulation technologies. The key criteria in selecting a suitable microencapsulation technology are also discussed. Two of the most common physical microencapsulation technologies used in pharmaceutical processing, fluidized-bed coating, and extrusion-spheronization are explained to highlight how they might be adapted to the microencapsulation of functional bioactive ingredients in the food industry.

1 March 2001 in International Journal of Food Science and Technology
Verified
Journal Article
Closed access
PDF file
MMMaria-Conceição Manso
Maria-Conceição Manso
FOFernanda A.R. Oliveira
Fernanda A.R. Oliveira
JOJorge C. Oliveira
Jorge C. Oliveira
Jesus Maria Frias CelayetaJesus Maria Frias Celayeta
Jesus Maria Frias Celayeta

21 October 2008 in Critical Reviews in Food Science and Nutrition
Verified
Journal Article
Closed access
Fátima PoçasFátima Poças
Fátima Poças
JOJorge C. Oliveira
Jorge C. Oliveira
FOFernanda A. R. Oliveira
Fernanda A. R. Oliveira
THTimothy Hogg
Timothy Hogg
The migration of chemicals from food contact materials into foods is an important issue in food safety. The assessment of materials compliance with regulations includes migration monitoring for many monomers and additives. However, it is recognized that predictive mathematical modelling can be used in many cases, to avoid or to reduce the effort on migration experiments. This article reviews the approaches followed to apply mathematical models to migration, particularly the models used, the approaches to estimate model parameters, and the systems used to experimentally validate the models. Conclusions on the issues requiring further research are drawn.

1 August 1997 in Carbohydrate Polymers
Verified
Journal Article
Open access
MRM.A. Rao
M.A. Rao
POP.E. Okechukwu
P.E. Okechukwu
PSP.M.S. Da Silva
P.M.S. Da Silva
JOJorge C. Oliveira
Jorge C. Oliveira
Granule size and size distribution, measured by laser diffraction, affected the flow behavior at 20 °C of (2.6% w/w) corn and cowpea starch dispersions heated for various time intervals above their gelatinization temperatures. The standard deviation of the granules' size described the transition of flow behavior from shear thickening in the early stages of gelatinization to shear thinning in the latter stages and influenced the critical shear rate, yc, for the onset of shear thickening in starch dispersions. The granules swelled to a maximum of about 3.5 times the raw starch granule mean diameter and 65% granule mass fraction. The consistency index of the dispersions increased with granule mean diameter. Modified waxy maize starch dispersions heated at 80 °C exhibited antithixotropic behavior at a shear rate of 200s−1; both dynamic frequency data and Cox-Merz plots revealed their gel-like behavior