Clinical CT densitometry for wooden cultural heritage analysis validated by FTIR and Raman spectroscopies

傅里叶变换红外光谱 文化遗产 拉曼光谱 扫描仪 材料科学 密度测定 硬木 表征(材料科学) 软木 计算机科学 光学 复合材料 人工智能 考古 物理 纳米技术 地理 生物 生态学
作者
Sveva Longo,Carmelo Corsaro,Francesca Granata,Enza Fazio
出处
期刊:Radiation Physics and Chemistry [Elsevier BV]
卷期号:: 110376-110376
标识
DOI:10.1016/j.radphyschem.2022.110376
摘要

The identification and characterization of wood material represent an ongoing challenge for artefacts of interest in cultural heritage. Fourier transforms infrared spectroscopy (FTIR) and micro-Raman (MRS) spectroscopies and more recently Surface-Enhanced Raman Scattering (SERS), being non-destructive techniques, have been largely used for the analysis of painted wood. In this work, for the first time, the X-ray Computed Tomography (CT), using a CT medical scanner, was adopted to discriminate three types of wood, usually used in the construction of heritage objects. Wood interior features have been identified in CT images processed through the volumetric rendering technique (VRT), without the need to destructively “take out” a piece of the sample. The information at the macroscopic level collected by CT (density, volumes, morphology, etc.) was enriched by the evidence, at the microscopic level, obtained by the Raman and FTIR spectroscopic techniques. So, the samples have been classified in softwood and hardwood, with the advantage with respect to the conventional analytical methods to be able to distinguish specific structures within the cell walls only through the CT diagnostic technique. Ultimately, a new non-destructive approach is proposed to analyze wood-based heritage objects, but which can be also extended to other materials (i.e., pigments, glues, consolidants). • Wood density and structural information can be obtained by medical scanner CT (MSCT). • MSCT together FTIR and Raman allow to analyze wood species for conservation actions. • Multislice CT can be used for effectively studying cultural heritage artefacts. • VRT allows to analyze wood interior features applying 3D medical filter.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
Ayu发布了新的文献求助10
1秒前
小马想毕业完成签到,获得积分0
2秒前
艺阳发布了新的文献求助10
2秒前
2秒前
Begonia发布了新的文献求助10
2秒前
CipherSage应助微风采纳,获得10
4秒前
4秒前
5秒前
liu完成签到,获得积分20
5秒前
5秒前
6秒前
根号3完成签到 ,获得积分10
7秒前
ood完成签到,获得积分10
8秒前
8秒前
科研通AI6.3应助shidewu采纳,获得10
8秒前
ssy发布了新的文献求助10
9秒前
南星完成签到,获得积分10
9秒前
9秒前
科研通AI6.2应助万里海天采纳,获得30
10秒前
10秒前
11秒前
11秒前
迟迟发布了新的文献求助10
12秒前
神音完成签到,获得积分10
13秒前
自由飞翔发布了新的文献求助10
14秒前
15秒前
15秒前
浅笑安然发布了新的文献求助10
15秒前
yy关闭了yy文献求助
17秒前
18秒前
18秒前
上官若男应助吴jun采纳,获得10
19秒前
20秒前
iHateTheWorld完成签到,获得积分10
20秒前
LongY发布了新的文献求助10
21秒前
胖九发布了新的文献求助30
21秒前
酷波er应助科研通管家采纳,获得10
21秒前
NexusExplorer应助科研通管家采纳,获得10
21秒前
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
Models for the coupled atmosphere and ocean 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7389494
求助须知:如何正确求助?哪些是违规求助? 8995832
关于积分的说明 19144198
捐赠科研通 7026396
什么是DOI,文献DOI怎么找? 3228657
关于科研通互助平台的介绍 2390962
邀请新用户注册赠送积分活动 2210019