Microstructural features assessment of different waterlogged wood species by NMR diffusion validated with complementary techniques.

Diffusion Magnetic Resonance Imaging Magnetic Resonance Spectroscopy Porosity Wood
Diffusion NMR ESEM Micro-MRI Softwood and hardwood Wood tortuosity

Journal

Magnetic resonance imaging
ISSN: 1873-5894
Titre abrégé: Magn Reson Imaging
Pays: Netherlands
ID NLM: 8214883

Informations de publication

Date de publication:
11 2021
Historique:
received: 21 03 2021
revised: 27 07 2021
accepted: 25 08 2021
pubmed: 30 8 2021
medline: 21 10 2021
entrez: 29 8 2021
Statut: ppublish

Résumé

Wood is a hygroscopic, multi-scale and anisotropic natural material composed of pores with different size and differently oriented. In particular, archaeologically excavated wood generally is waterlogged wood with very high moisture content (400%-800%) that need to have a rapid investigation at the microstructural level to obtain the best treatment with preservative agents. Time-dependent diffusion coefficient D(t) quantified by Pulse Field Gradient (PFG) Nuclear Magnetic Resonance (NMR) techniques provides useful information about complex porous media, such as the tortuosity (τ) describing pore connectivity and fluid transport through media, the average-pore size, the anisotropic degree (a

Identifiants

DOI: 10.1016/j.mri.2021.08.010 PMID: 34454984
pubmed: 34454984
pii: S0730-725X(21)00140-5
doi: 10.1016/j.mri.2021.08.010
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

139-151

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

V Stagno (V)

Department of Earth Sciences, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy; National Research Council - Institute for Complex Systems (CNR-ISC) c/o Physics Department Sapienza University of Rome, Rome, Italy.

F Egizi (F)

National Research Council - Institute for Complex Systems (CNR-ISC) c/o Physics Department Sapienza University of Rome, Rome, Italy.

F Corticelli (F)

Consiglio Nazionale delle Ricerche - Istituto per la Microelettronica e Microsistemi (CNR-IMM) Bologna, P. Gobetti 101, 40129 Bologna, Italy.

V Morandi (V)

Consiglio Nazionale delle Ricerche - Istituto per la Microelettronica e Microsistemi (CNR-IMM) Bologna, P. Gobetti 101, 40129 Bologna, Italy.

F Valle (F)

Consiglio Nazionale delle Ricerche - Istituto per lo Studio dei Materiali Nanostrutturati (CNR-ISMN) Bologna, P. Gobetti 101, 40129 Bologna, Italy.

G Costantini (G)

National Research Council - Institute for Complex Systems (CNR-ISC) c/o Physics Department Sapienza University of Rome, Rome, Italy.

S Longo (S)

National Research Council - Institute for Complex Systems (CNR-ISC) c/o Physics Department Sapienza University of Rome, Rome, Italy; Department of Mathematical and Computational Sciences, Physics Science and Earth Sciences (MIFT), University of Messina, Messina 98166, Italy.

S Capuani (S)

National Research Council - Institute for Complex Systems (CNR-ISC) c/o Physics Department Sapienza University of Rome, Rome, Italy; Centro Fermi - Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Piazza del Viminale 1, 00184 Rome, Italy. Electronic address: silvia.capuani@isc.cnr.it.

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Classifications MeSH

questionsmedicales.fr › Phénomènes chimiques › Diffusion › Microstructural features assessment of...
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Imagerie diagnostique › Tomographie › Imagerie par résonance magnétique › Microstructural features assessment of...
questionsmedicales.fr › Techniques d'investigation › Techniques de chimie analytique › Analyse spectrale › Spectroscopie par résonance magnétique › Microstructural features assessment of...
questionsmedicales.fr › Phénomènes physiques › Phénomènes mécaniques › Porosité › Microstructural features assessment of...
questionsmedicales.fr › Technologie, industrie et agriculture › Produits manufacturés › Matériaux de construction › Bois › Microstructural features assessment of...