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Denise Cagniant

Researcher at Metz

Publications -  59
Citations -  631

Denise Cagniant is an academic researcher from Metz. The author has contributed to research in topics: Coal & Carbonization. The author has an hindex of 13, co-authored 59 publications receiving 604 citations. Previous affiliations of Denise Cagniant include Polish Academy of Sciences.

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The characterization of nitrogen-enriched activated carbons by IR, XPS and LSER methods

TL;DR: In this paper, the effect of the chemical treatment by urea and of the burn-off amount are investigated in terms of evolution of the chemistry of the studied materials, and the influence of these parameters on the selective behavior of the activated lignites towards two pairs of VOCs using the LSER approach.
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A physicochemical study of carbonization phases. Part I. Tars migration and coking pressure

TL;DR: In this paper, two distinct ways of migration of volatile matters through coking material were evidenced, for "dangerous coals" (including excessive coking pressure) the volatile materials migrate mainly from the plastic layer to the cold side of the oven, giving rise to impregnation of the remaining coal.
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Application of Fourier self-deconvolution to the FT-i.r. characterization of coals and their N-methyl 2-pyrrolidinone extraction products

TL;DR: In this paper, Fourier transform infrared (FT-i.r) spectroscopy of coals and their extraction products, i.e. extracts and residues, gives an insight into the chemical structure of the initial material and changes due to the separation procedure.
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Ammoxidation of cellulose—a structural study

TL;DR: In this article, the structural characterisation of cellulose ammoxidation products was performed for comparison under several conditions: air, argon, ammonia and air-ammonia mixtures (ammoxidation).
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Methods of determining polar and non-polar sites on carbonaceous adsorbents. The contribution of the linear solvation energy relationship approach

TL;DR: In this paper, the linear solvation energy relationship approach was used to determine porosity data and chemical structure of the material of interest. And the contribution of this model is a supplementary step to link the structure of a considered material and its behavior.