Bruno Gregório

Mr. Bruno Gregório


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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17 February 2023 in Antioxidants
Verified
Journal Article
Open access
PDF file
JCJoana R. B. Carvalho
Joana R. B. Carvalho
AMAndreia N. Meireles
Andreia N. Meireles
SMSara Marques
Sara Marques
BGBruno Gregório
Bruno Gregório
IRInês I. Ramos
Inês I. Ramos
Marcela SegundoMarcela Segundo
Marcela Segundo
The analysis and interpretation of data retrieved from Oxygen Radical Absorbance Capacity (ORAC) assays represent a challenging task. ORAC indexes originate from different mathematical approaches often lacking correct elucidation of kinetic features concerning radical scavenging reactions by antioxidant compounds. In this work, the expression of ORAC values as area under fluorescein (FL) decay curves (AUC) and lag time are critically compared. This multi-parametric analysis showed the extension of radical scavenging reactions beyond the lag time period for caffeic acid, gallic acid, reduced glutathione and quercetin, extending their antioxidant protection of FL. Ethanol delayed the reaction of both FL and antioxidant compounds with free radical species generated from 2,2′-azobis(2-amidinopropane) dihydrochloride thermolysis. Trolox equivalent values, commonly used to express ORAC values, were more affected by the differences in radical scavenging kinetics between the reference and the tested antioxidant compounds when calculated from AUC than from lag time. These findings stressed the importance of choosing calibrator compounds presenting ORAC kinetics similar to samples to prevent biased estimation of the antioxidant capacity. Additionally, the framework proposed here provides a sustainable analytical method for the evaluation of antioxidant capacity, with an AGREE score of 0.73.

18 September 2019 in Analytical Chemistry
Verified
Journal Article
Closed access
PCPeter Carl
Peter Carl
DSDominik Sarma
Dominik Sarma
BGBruno Gregório
Bruno Gregório
KHKristin Hoffmann
Kristin Hoffmann
ALAndreas Lehmann
Andreas Lehmann
Rudolf J. SchneiderRudolf J. Schneider
Rudolf J. Schneider

1 April 2016 in Talanta
Verified
Journal Article
Closed access
IRInês I. Ramos
Inês I. Ramos
BGBruno Gregório
Bruno Gregório
LBLuisa Barreiros
Luisa Barreiros
LMLuís M. Magalhães
Luís M. Magalhães
ITIldikó V. Tóth
Ildikó V. Tóth
Marcela SegundoMarcela Segundo
Marcela Segundo

1 November 2020 in Microchemical Journal
Verified
Journal Article
Closed access
BGBruno Gregório
Bruno Gregório
IRInês I. Ramos
Inês I. Ramos
LMLuís M. Magalhães
Luís M. Magalhães
Eduarda M. P. SilvaEduarda M. P. Silva
Eduarda M. P. Silva
Salette ReisSalette Reis
Salette Reis
MSMarcela A. Segundo
Marcela A. Segundo

15 March 2020 in Molecules
Verified
Journal Article
Open access
PDF file
BGBruno Gregório
Bruno Gregório
APAna Margarida Pereira
Ana Margarida Pereira
SFSara Fernandes
Sara Fernandes
Elisabete MatosElisabete Matos
Elisabete Matos
FCFrancisco Castanheira
Francisco Castanheira
Marcela SegundoMarcela Segundo
Marcela Segundo
This work proposes a simple and easy-to-use flow-through system for the implementation of dynamic extractions, aiming at the evaluation of bioaccessible zinc and the characterization of leaching kinetics in dry dog food samples. The kinetic profile of Zn extraction was determined by flame atomic absorption spectroscopy and the results were fitted in an exponential function (R2 > 0.960) compatible with a two first-order reactions model. Values of fast leachable Zn ranged from 83 ± 1 to 313 ± 5 mg of Zn per kg of sample, with associated rate constants ranging from 0.162 ± 0.004 to 0.290 ± 0.014 min−1. Similar results were observed compared to the static batch extraction. The percentage of bioaccessible Zn ranged from 49.0 to 70.0%, with an average value of 58.2% in relation to total Zn content. Principal component analysis regarding the variables fast leachable Zn, associated rate constant, total Zn, and market segment, has shown that 84.6% of variance is explained by two components, where the second component (24.0%) presented loadings only for the fast leachable Zn and associated rate constant. The proposed method is suitable for the fast evaluation (<1 h) of leaching kinetics and bioaccessibility in dry dog food.