A green chemistry-based classification model for the synthesis of silver nanoparticles
A green chemistry-based classification model for the synthesis of silver nanoparticles
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DOI：
10.1039/c4gc02088j
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发表时间：
2015-01-01
期刊：
影响因子：
9.8
通讯作者：
Kirwan, Kerry
中科院分区：
文献类型：
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作者：
Cinelli, Marco;Coles, Stuart R.;Kirwan, Kerry
评价绿色化学原理在纳米材料合成中的应用是一个复杂的决策问题，需要综合多种评价标准。多标准决策辅助（MCDA）为这种挑战提供了支持。其中一种方法-基于优势的粗糙集方法(DRSA) -在本研究中被用于开发一个基于绿色化学的银纳米颗粒合成方案分类模型，以优先顺序划分性能类别。DRSA允许整合来自同行评审文献和该领域专家（决策者，DMs）的知识，从而形成一个由决策规则组成的模型，该决策规则是“有条件，则决策”形式的逻辑陈述。该方法为设计更绿色的纳米银合成规则提供了基础。决策规则得到合成协议的支持，这些协议在不同程度上执行绿色化学原则，从而为开发和评估银纳米颗粒合成提供了强有力的建议，这些建议在五个预先确定的水平之一执行。基于drsa的方法是透明和结构化的，并且可以很容易地更新。如果相关数据可用，并且特定领域的专家可以通过MCDA程序进行协作，则可以将新的视角和标准添加到模型中。
The assessment of the implementation of green chemistry principles in the syntheses of nanomaterials is a complex decision-making problem that necessitates the integration of several evaluation criteria. Multiple Criteria Decision Aiding (MCDA) provides support for such a challenge. One of its methods - Dominance-based Rough Set Approach (DRSA) - was used in this research to develop a model for the green chemistry-based classification of silver nanoparticle synthesis protocols into preference-ordered performance classes. DRSA allowed integration of knowledge from both peer-reviewed literature and experts (decision makers, DMs) in the field, resulting in a model composed of decision rules that are logical statements in the form: "if conditions, then decision". The approach provides the basis for the design of rules for the greener synthesis of silver nanoparticles. Decision rules are supported by synthesis protocols that enforce the principles of green chemistry to various extents, resulting in robust recommendations for the development and assessment of silver nanoparticle synthesis that perform at one of five pre-determined levels. The DRSA-based approach is transparent and structured and can be easily updated. New perspectives and criteria could be added into the model if relevant data were available and domain-specific experts could collaborate through the MCDA procedure.