Oliveira Mateus Fernandes, Moraes Leonardo César, Figueredo Cleber Cunha
Departamento de Botânica, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627, Pampulha, Belo Horizonte, Minas Gerais 31270-901, Brazil.
ACS Omega. 2025 Apr 1;10(14):13763-13779. doi: 10.1021/acsomega.4c11418. eCollection 2025 Apr 15.
Metal nanoparticles (MNPs) exhibit unique properties influenced by their size, shape, and dispersion uniformity. They can be synthesized via chemical methods or green synthesis, commonly using plant or microorganism extracts as reducing and stabilizing agents. This eco-friendly approach is valued, but the literature is unclear about which taxonomic groups should be targeted to obtain certain types of MNPs. Given the ongoing growth of research in this area, this study offers a comparative overview that helps identify patterns and gaps in the current knowledge. This study reviewed 485 articles, describing 652 monometallic and 10 bimetallic nanoparticles synthesized using photosynthesizing organisms' extracts. Angiosperms and cyanobacteria were the most utilized groups. Silver and gold nanoparticles were the most studied MNPs. Gold nanoparticles' size varied with taxonomic groups, but they were smaller than the silver nanoparticles synthesized by the same group. Antimicrobial activity was the most common application, highlighting the potential of green-synthesized MNPs. This study provides valuable insights for optimizing sustainable nanoparticle production since knowledge about the specificities of different photosynthesizing taxa can be useful for directing efforts and enhancing the efficiency and precision of green-synthesized MNPs.
金属纳米颗粒(MNPs)展现出受其尺寸、形状和分散均匀性影响的独特性质。它们可以通过化学方法或绿色合成法合成,通常使用植物或微生物提取物作为还原剂和稳定剂。这种环保方法备受重视,但目前尚不清楚针对哪些分类群来获取特定类型的MNPs。鉴于该领域研究的持续增长,本研究提供了一个比较性综述,有助于识别当前知识中的模式和差距。本研究回顾了485篇文章,描述了使用光合生物提取物合成的652种单金属和10种双金属纳米颗粒。被子植物和蓝细菌是最常被利用的类群。银和金纳米颗粒是研究最多的MNPs。金纳米颗粒的尺寸因分类群而异,但比同一类群合成的银纳米颗粒小。抗菌活性是最常见的应用,突出了绿色合成MNPs的潜力。本研究为优化可持续纳米颗粒生产提供了有价值的见解,因为了解不同光合分类群的特异性有助于指导工作,并提高绿色合成MNPs的效率和精度。
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