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Luisa Mannina

Researcher at Sapienza University of Rome

Publications -  240
Citations -  7130

Luisa Mannina is an academic researcher from Sapienza University of Rome. The author has contributed to research in topics: Catalysis & Chemistry. The author has an hindex of 46, co-authored 223 publications receiving 6279 citations. Previous affiliations of Luisa Mannina include University of Provence & National Research Council.

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Diffusion-ordered NMR spectroscopy: A versatile tool for the molecular weight determination of uncharged polysaccharides

TL;DR: Diffusion-ordered NMR spectroscopy experiments have been carried out on dilute aqueous solutions of un charged saccharide systems and, in particular, on six well characterized pullulan fractions of different molecular weights, and DOSY is proposed as a versatile tool for achieving a simple estimation of the molecular weight of uncharged polysaccharides.
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Liquid state 1H high field NMR in food analysis.

TL;DR: In this paper, the authors proposed a method to solve the problem of the "missing link" problem in the context of biomedical data. All rights reserved, 2012 Elsevier B.V.
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Geographical characterization of italian extra virgin olive oils using high-field (1)H NMR spectroscopy.

TL;DR: A careful analysis of data yielded the conclusion that the place of olive production could be singled out as a discriminating factor regardless of the cultivars from which the olive oils are derived.
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Synthesis of 3-arylisocoumarins, including thunberginols A and B, unsymmetrical 3,4-disubstituted isocoumarins, and 3-ylidenephthalides via iodolactonization of methyl 2-ynylbenzoates or the corresponding carboxylic acids

TL;DR: 3-Aryl-4-iodoisocoumarins and unsymmetrical 3,4-disubstituted isocou marins showed certain cytotoxic activity against human cancer cell lines in vitro.
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A high-field1H nuclear magnetic resonance study of the minor components in virgin olive oils

TL;DR: In this article, high-field (600 MHz) nuclear magnetic resonance (NMR) spectroscopy was applied to the direct analysis of virgin olive oil, and the statistical analysis performed on the intensity of these peaks in several oil samples, obtained from different olive varieties, allows clustering and identification of oils arising from the same olive variety.