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Gabriel Lucian Radu

Researcher at Politehnica University of Bucharest

Publications -  168
Citations -  2220

Gabriel Lucian Radu is an academic researcher from Politehnica University of Bucharest. The author has contributed to research in topics: Chemistry & DPPH. The author has an hindex of 22, co-authored 156 publications receiving 1824 citations. Previous affiliations of Gabriel Lucian Radu include University of Bucharest & University of Poitiers.

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Laccase–MWCNT–chitosan biosensor—A new tool for total polyphenolic content evaluation from in vitro cultivated plants

TL;DR: In this paper, an enzyme with broad substrate specificity for the phenolic substrates was employed as a biorecognition element in order to develop a biosensor for total content evaluation of phenolic secondary metabolites from two “in vitro” cultivated plants: Salvia officinalis and Mentha piperita.
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Molybdenum disulphide and graphene quantum dots as electrode modifiers for laccase biosensor.

TL;DR: A nanocomposite formed from molybdenum disulphide (MoS2) and graphene quantum dots (GQDs) was proposed as a novel and suitable support for enzyme immobilisation displaying interesting electrochemical properties and was successfully applied for the determination of total polyphenolic content from red wine samples.
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Label-free detection of lysozyme in wines using an aptamer based biosensor and SPR detection

TL;DR: In this paper, an aptasensor with SPR detection allowed the determination of an allergen protein, lysozyme, with high accuracy, good sensitivity and a detection limit of 2.4 nM for spiked red and white wines.
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Disposable biosensor based on platinum nanoparticles-reduced graphene oxide-laccase biocomposite for the determination of total polyphenolic content

TL;DR: This disposable laccase biosensor could be a valuable tool for the estimation of total polyphenolic content from tea infusions and was calculated from the electrochemical version of Lineweaver-Burk equation to be 2.75 μM.
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Geographical and Botanical Origin Discrimination of Romanian Honey Using Complex Stable Isotope Data and Chemometrics

TL;DR: In this paper, stable isotopes selected as representative discrimination parameters of different botanical or geographical origin were determined in 40 honey samples using isotope ratio mass spectrometry (IRMS) and site-specific natural isotopic fractionation measured by nuclear magnetic resonance (SNIF-NMR) methods.