Eco-friendly approach for control of fungal deterioration of archaeological skeleton dated back to the Greco-Roman period

考古 句号(音乐) 骨架(计算机编程) 历史 古代史 艺术 计算机科学 美学 程序设计语言
作者
Gomaa Abdel-Maksoud,Samiaa Gaballah,Ahmed M. Youssef,Ahmed M. Eid,Mahmoud H. Sultan,Amr Fouda
出处
期刊:Journal of Cultural Heritage [Elsevier BV]
卷期号:59: 38-48 被引量:5
标识
DOI:10.1016/j.culher.2022.11.005
摘要

The deterioration aspects of Papio Hamadryas skeleton dating back to the Greco-Roman period, and its associated fungal strains were investigated. Also, the efficacy of two green synthesized nanoparticles to suppress fungal growth was assessed. The results stated that the accumulated dust, erosion, holes, and colour change were the most significant deterioration aspects. The digital light microscope and scanning electron microscope (SEM) showed some micro-cracks and the presence of fauna identified as woodlice. Attenuated total reflection – Fourier transform infrared spectroscopy (ATR/FTIR) proved that the archaeological bone suffered from deterioration since the wavenumber of most bands and their intensities were lower compared to the control. The most common fungal strains associated with deteriorated bones were Aspergillus flavus, Aspergillus delicatus, Aspergillus parasiticus, Aspergillus niger, Aspergillus oryzae, Penicillium expansum, Penicillium oxalicum, Penicillium digitatum, Cladosporium sp., and Paecilomyces sp. These strains exhibited varied enzymatic activity, including protease, pectinase, cellulase, and gelatinase. Green synthesized silver nanoparticles (Ag-NPs) and magnesium nanoparticles MgO-NPs showed sufficient tools to suppress radial fungal growth. The growth inhibition percentages of Ag-NPs (69.1 ± 1.3–81.5 ± 2.01%) were more efficient than those recorded by MgO-NPs (59.5 ± 0.9 – 74.3 ± 2.8%) at a concentration of 300 ppm. The inhibition percentages were decreased at low NPs (200 and 100 ppm) concentrations, but it is still a promising tool to suppress fungal growth. This study recommended that Ag-NPs at 300 ppm may be used in the disinfection of the archaeological skeleton studied.

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
BIGDEEK发布了新的文献求助10
2秒前
Z6kjoA发布了新的文献求助10
2秒前
VInci完成签到,获得积分10
3秒前
somous完成签到,获得积分10
3秒前
ding应助背后的以晴采纳,获得10
4秒前
不知名研究生完成签到,获得积分10
4秒前
5秒前
xmc关注了科研通微信公众号
7秒前
阿白发布了新的文献求助10
8秒前
8秒前
彭于晏应助英俊的难破采纳,获得10
8秒前
刘三哥完成签到 ,获得积分10
9秒前
BIGDEEK完成签到,获得积分10
9秒前
11秒前
11秒前
ff发布了新的文献求助10
12秒前
秋秋完成签到,获得积分10
12秒前
13秒前
八森木完成签到,获得积分10
13秒前
有灵魅完成签到,获得积分10
14秒前
14秒前
Faye发布了新的文献求助10
14秒前
14秒前
兴奋的酸奶完成签到 ,获得积分10
16秒前
16秒前
科研天才发布了新的文献求助10
16秒前
16秒前
17秒前
谦让的嫣娆完成签到,获得积分10
17秒前
ff发布了新的文献求助10
17秒前
18秒前
八森木发布了新的文献求助10
18秒前
18秒前
racill发布了新的文献求助10
19秒前
秋lll发布了新的文献求助10
21秒前
dde发布了新的文献求助10
21秒前
22秒前
LLL发布了新的文献求助10
23秒前
23秒前
23秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
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 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Analytical Separation Science 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 7547579
求助须知:如何正确求助?哪些是违规求助? 9131120
关于积分的说明 19509117
捐赠科研通 7141428
什么是DOI,文献DOI怎么找? 3259716
关于科研通互助平台的介绍 2426482
邀请新用户注册赠送积分活动 2248315