利用机器学习对历史基质进行基准识别来估计方解石基纳米颗粒随时间的碱性储备

IF 5.5 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Claudia Scatigno*, Serena Dominijanni, Irene Pedretti and Giulia Festa, 
{"title":"利用机器学习对历史基质进行基准识别来估计方解石基纳米颗粒随时间的碱性储备","authors":"Claudia Scatigno*,&nbsp;Serena Dominijanni,&nbsp;Irene Pedretti and Giulia Festa,&nbsp;","doi":"10.1021/acsanm.5c02748","DOIUrl":null,"url":null,"abstract":"<p >Over the last few decades, colloid and materials science has provided a range of tools for the cleaning, consolidation, and pH control of artistic and historical substrates. Nanostructured materials, such as microemulsions, micellar solutions, dispersions of alkaline nanoparticles, and chemical gels, are used to effectively counteract degradation processes without altering the physicochemical properties of the treated artworks, while minimizing or completely avoiding potential drawbacks. Here, a methodology to estimate the long-term stability of nanoparticles (NPs) is presented as a function of pH stability control and treatment durability over time. Specifically, the effects of Ca(OH)<sub>2</sub> nanoparticle deposition are estimated by extracting spectroscopic benchmarks attributed to the successive formation of CaCO<sub>3</sub> (vaterite), which is monitored using the kernel density estimation (KDE) algorithm and absorbance ratio. Different application methodologies are tested as deacidification procedures. The alkaline reserve of the formulated nanoparticles (NPs) is tested on a theatrical manuscript (dated back to the 15th century). The results explore the current challenges and potential breakthroughs in developing procedures to establish the durability of calcite-based NPs for conservative applications. They provide a reference procedure for researchers working on applied treatments in field applications. These findings demonstrate that nanoparticle behavior is both material- and method-dependent, with the adhesive application ensuring greater long-term uniformity and buffering stability compared with the spray method, which introduces higher variability. The data indicate that nanoparticle deposition becomes more homogeneous over time, particularly in more acidic regions, suggesting enhanced reactivity. Furthermore, the shift toward higher pH values over time supports the effectiveness of the applied treatments in achieving consistent pH neutralization. These results underscore the importance of optimized application techniques for the reliable, long-term preservation of historical libraries and archives.</p>","PeriodicalId":6,"journal":{"name":"ACS Applied Nano Materials","volume":"8 32","pages":"16017–16025"},"PeriodicalIF":5.5000,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimation of the Alkaline Reserve of Calcite-Based Nanoparticles over Time Using Machine Learning for Benchmark Recognition on Historical Substrates\",\"authors\":\"Claudia Scatigno*,&nbsp;Serena Dominijanni,&nbsp;Irene Pedretti and Giulia Festa,&nbsp;\",\"doi\":\"10.1021/acsanm.5c02748\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >Over the last few decades, colloid and materials science has provided a range of tools for the cleaning, consolidation, and pH control of artistic and historical substrates. Nanostructured materials, such as microemulsions, micellar solutions, dispersions of alkaline nanoparticles, and chemical gels, are used to effectively counteract degradation processes without altering the physicochemical properties of the treated artworks, while minimizing or completely avoiding potential drawbacks. Here, a methodology to estimate the long-term stability of nanoparticles (NPs) is presented as a function of pH stability control and treatment durability over time. Specifically, the effects of Ca(OH)<sub>2</sub> nanoparticle deposition are estimated by extracting spectroscopic benchmarks attributed to the successive formation of CaCO<sub>3</sub> (vaterite), which is monitored using the kernel density estimation (KDE) algorithm and absorbance ratio. Different application methodologies are tested as deacidification procedures. The alkaline reserve of the formulated nanoparticles (NPs) is tested on a theatrical manuscript (dated back to the 15th century). The results explore the current challenges and potential breakthroughs in developing procedures to establish the durability of calcite-based NPs for conservative applications. They provide a reference procedure for researchers working on applied treatments in field applications. These findings demonstrate that nanoparticle behavior is both material- and method-dependent, with the adhesive application ensuring greater long-term uniformity and buffering stability compared with the spray method, which introduces higher variability. The data indicate that nanoparticle deposition becomes more homogeneous over time, particularly in more acidic regions, suggesting enhanced reactivity. Furthermore, the shift toward higher pH values over time supports the effectiveness of the applied treatments in achieving consistent pH neutralization. These results underscore the importance of optimized application techniques for the reliable, long-term preservation of historical libraries and archives.</p>\",\"PeriodicalId\":6,\"journal\":{\"name\":\"ACS Applied Nano Materials\",\"volume\":\"8 32\",\"pages\":\"16017–16025\"},\"PeriodicalIF\":5.5000,\"publicationDate\":\"2025-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Nano Materials\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/acsanm.5c02748\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Nano Materials","FirstCategoryId":"88","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acsanm.5c02748","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

在过去的几十年里,胶体和材料科学为艺术和历史基材的清洁、巩固和pH控制提供了一系列工具。纳米结构材料,如微乳液、胶束溶液、碱性纳米粒子分散体和化学凝胶,用于有效地抵消降解过程,而不会改变处理艺术品的物理化学性质,同时最大限度地减少或完全避免潜在的缺点。本文提出了一种评估纳米颗粒(NPs)长期稳定性的方法,该方法是pH稳定性控制和处理耐久性随时间变化的函数。具体来说,Ca(OH)2纳米颗粒沉积的影响是通过提取CaCO3 (vaterite)连续形成的光谱基准来估计的,这是使用核密度估计(KDE)算法和吸光度比来监测的。测试了不同的应用方法作为脱酸程序。在一份戏剧手稿(可追溯到15世纪)上测试了配方纳米颗粒(NPs)的碱性储备。研究结果探讨了目前的挑战和潜在的突破,在开发程序中建立方解石基NPs的耐用性,用于保守应用。它们为从事田间应用的研究人员提供了一种参考程序。这些发现表明,纳米颗粒的行为既取决于材料,也取决于方法,与喷雾方法相比,粘合剂的应用确保了更大的长期均匀性和缓冲稳定性,后者带来了更高的可变性。数据表明,随着时间的推移,纳米颗粒沉积变得更加均匀,特别是在酸性更强的区域,这表明反应性增强。此外,随着时间的推移,向更高pH值的转变支持了应用处理在实现一致pH中和方面的有效性。这些结果强调了优化应用技术对于可靠、长期保存历史图书馆和档案的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Estimation of the Alkaline Reserve of Calcite-Based Nanoparticles over Time Using Machine Learning for Benchmark Recognition on Historical Substrates

Estimation of the Alkaline Reserve of Calcite-Based Nanoparticles over Time Using Machine Learning for Benchmark Recognition on Historical Substrates

Over the last few decades, colloid and materials science has provided a range of tools for the cleaning, consolidation, and pH control of artistic and historical substrates. Nanostructured materials, such as microemulsions, micellar solutions, dispersions of alkaline nanoparticles, and chemical gels, are used to effectively counteract degradation processes without altering the physicochemical properties of the treated artworks, while minimizing or completely avoiding potential drawbacks. Here, a methodology to estimate the long-term stability of nanoparticles (NPs) is presented as a function of pH stability control and treatment durability over time. Specifically, the effects of Ca(OH)2 nanoparticle deposition are estimated by extracting spectroscopic benchmarks attributed to the successive formation of CaCO3 (vaterite), which is monitored using the kernel density estimation (KDE) algorithm and absorbance ratio. Different application methodologies are tested as deacidification procedures. The alkaline reserve of the formulated nanoparticles (NPs) is tested on a theatrical manuscript (dated back to the 15th century). The results explore the current challenges and potential breakthroughs in developing procedures to establish the durability of calcite-based NPs for conservative applications. They provide a reference procedure for researchers working on applied treatments in field applications. These findings demonstrate that nanoparticle behavior is both material- and method-dependent, with the adhesive application ensuring greater long-term uniformity and buffering stability compared with the spray method, which introduces higher variability. The data indicate that nanoparticle deposition becomes more homogeneous over time, particularly in more acidic regions, suggesting enhanced reactivity. Furthermore, the shift toward higher pH values over time supports the effectiveness of the applied treatments in achieving consistent pH neutralization. These results underscore the importance of optimized application techniques for the reliable, long-term preservation of historical libraries and archives.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
8.30
自引率
3.40%
发文量
1601
期刊介绍: ACS Applied Nano Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics and biology relevant to applications of nanomaterials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important applications of nanomaterials.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信