Irini Furxhi , Massimo Perucca , Antti Joonas Koivisto , Rossella Bengalli , Paride Mantecca , Alessia Nicosia , David Burrueco-Subirà , Socorro Vázquez-Campos , Elma Lahive , Magda Blosi , Jesús Lopez de Ipiña , Juliana Oliveira , Marie Carriere , Claudia Vineis , Anna Costa
{"title":"通过设计纳米技术实现安全和可持续发展的路线图:由 ASINA 项目实施的纳米银基抗菌纺织涂层生产。","authors":"Irini Furxhi , Massimo Perucca , Antti Joonas Koivisto , Rossella Bengalli , Paride Mantecca , Alessia Nicosia , David Burrueco-Subirà , Socorro Vázquez-Campos , Elma Lahive , Magda Blosi , Jesús Lopez de Ipiña , Juliana Oliveira , Marie Carriere , Claudia Vineis , Anna Costa","doi":"10.1016/j.csbj.2024.06.013","DOIUrl":null,"url":null,"abstract":"<div><p>This report demonstrates a case study within the ASINA project, aimed at instantiating a roadmap with quantitative metrics for Safe(r) and (more) Sustainable by Design (SSbD) options. We begin with a description of ASINA’s methodology across the product lifecycle, outlining the quantitative elements within: Physical-Chemical Features (PCFs), Key Decision Factors (KDFs), and Key Performance Indicators (KPIs). Subsequently, we delve in a proposed decision support tool for implementing the SSbD objectives across various dimensions—functionality, cost, environment, and human health safety—within a broader European context. We then provide an overview of the technical processes involved, including design rationales, experimental procedures, and tools/models developed within ASINA in delivering nano-silver-based antimicrobial textile coatings. The result is pragmatic, actionable metrics intended to be estimated and assessed in future SSbD applications and to be adopted in a common SSbD roadmap aligned with the EU’s Green Deal objectives. The methodological approach is transparently and thoroughly described to inform similar projects through the integration of KPIs into SSbD and foster data-driven decision-making. Specific results and project data are beyond this work’s scope, which is to demonstrate the ASINA roadmap and thus foster SSbD-oriented innovation in nanotechnology.</p></div>","PeriodicalId":10715,"journal":{"name":"Computational and structural biotechnology journal","volume":"25 ","pages":"Pages 127-142"},"PeriodicalIF":4.4000,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2001037024002095/pdfft?md5=1ad8a920e251f7b99900a7930b1973c1&pid=1-s2.0-S2001037024002095-main.pdf","citationCount":"0","resultStr":"{\"title\":\"A roadmap towards safe and sustainable by design nanotechnology: Implementation for nano-silver-based antimicrobial textile coatings production by ASINA project\",\"authors\":\"Irini Furxhi , Massimo Perucca , Antti Joonas Koivisto , Rossella Bengalli , Paride Mantecca , Alessia Nicosia , David Burrueco-Subirà , Socorro Vázquez-Campos , Elma Lahive , Magda Blosi , Jesús Lopez de Ipiña , Juliana Oliveira , Marie Carriere , Claudia Vineis , Anna Costa\",\"doi\":\"10.1016/j.csbj.2024.06.013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This report demonstrates a case study within the ASINA project, aimed at instantiating a roadmap with quantitative metrics for Safe(r) and (more) Sustainable by Design (SSbD) options. We begin with a description of ASINA’s methodology across the product lifecycle, outlining the quantitative elements within: Physical-Chemical Features (PCFs), Key Decision Factors (KDFs), and Key Performance Indicators (KPIs). Subsequently, we delve in a proposed decision support tool for implementing the SSbD objectives across various dimensions—functionality, cost, environment, and human health safety—within a broader European context. We then provide an overview of the technical processes involved, including design rationales, experimental procedures, and tools/models developed within ASINA in delivering nano-silver-based antimicrobial textile coatings. The result is pragmatic, actionable metrics intended to be estimated and assessed in future SSbD applications and to be adopted in a common SSbD roadmap aligned with the EU’s Green Deal objectives. The methodological approach is transparently and thoroughly described to inform similar projects through the integration of KPIs into SSbD and foster data-driven decision-making. Specific results and project data are beyond this work’s scope, which is to demonstrate the ASINA roadmap and thus foster SSbD-oriented innovation in nanotechnology.</p></div>\",\"PeriodicalId\":10715,\"journal\":{\"name\":\"Computational and structural biotechnology journal\",\"volume\":\"25 \",\"pages\":\"Pages 127-142\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2024-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2001037024002095/pdfft?md5=1ad8a920e251f7b99900a7930b1973c1&pid=1-s2.0-S2001037024002095-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational and structural biotechnology journal\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2001037024002095\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational and structural biotechnology journal","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2001037024002095","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
本报告展示了ASINA项目中的一个案例研究,旨在为安全(r)和(更多)可持续设计(SSbD)方案制定一个具有量化指标的路线图。我们首先介绍了 ASINA 在整个产品生命周期内的方法,并概述了其中的量化要素:物理化学特性 (PCF)、关键决策因素 (KDF) 和关键性能指标 (KPI)。随后,我们深入探讨了一种拟议的决策支持工具,该工具可在更广泛的欧洲背景下,从功能、成本、环境和人类健康安全等多个维度实现 SSbD 目标。然后,我们概述了所涉及的技术流程,包括设计原理、实验程序,以及 ASINA 在提供纳米银基抗菌纺织涂层方面开发的工具/模型。其结果是务实的、可操作的指标,用于在未来的 SSbD 应用中进行估算和评估,并在与欧盟绿色交易目标相一致的共同 SSbD 路线图中采用。对方法论进行了透明而详尽的描述,以便通过将关键绩效指标整合到 SSbD 中为类似项目提供信息,并促进以数据为导向的决策。具体结果和项目数据不在本文讨论范围之内,本文旨在展示 ASINA 路线图,从而促进纳米技术领域以 SSbD 为导向的创新。
A roadmap towards safe and sustainable by design nanotechnology: Implementation for nano-silver-based antimicrobial textile coatings production by ASINA project
This report demonstrates a case study within the ASINA project, aimed at instantiating a roadmap with quantitative metrics for Safe(r) and (more) Sustainable by Design (SSbD) options. We begin with a description of ASINA’s methodology across the product lifecycle, outlining the quantitative elements within: Physical-Chemical Features (PCFs), Key Decision Factors (KDFs), and Key Performance Indicators (KPIs). Subsequently, we delve in a proposed decision support tool for implementing the SSbD objectives across various dimensions—functionality, cost, environment, and human health safety—within a broader European context. We then provide an overview of the technical processes involved, including design rationales, experimental procedures, and tools/models developed within ASINA in delivering nano-silver-based antimicrobial textile coatings. The result is pragmatic, actionable metrics intended to be estimated and assessed in future SSbD applications and to be adopted in a common SSbD roadmap aligned with the EU’s Green Deal objectives. The methodological approach is transparently and thoroughly described to inform similar projects through the integration of KPIs into SSbD and foster data-driven decision-making. Specific results and project data are beyond this work’s scope, which is to demonstrate the ASINA roadmap and thus foster SSbD-oriented innovation in nanotechnology.
期刊介绍:
Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to:
Structure and function of proteins, nucleic acids and other macromolecules
Structure and function of multi-component complexes
Protein folding, processing and degradation
Enzymology
Computational and structural studies of plant systems
Microbial Informatics
Genomics
Proteomics
Metabolomics
Algorithms and Hypothesis in Bioinformatics
Mathematical and Theoretical Biology
Computational Chemistry and Drug Discovery
Microscopy and Molecular Imaging
Nanotechnology
Systems and Synthetic Biology