Vitex negundo assisted green synthesis of metallic nanoparticles with different applications: a mini review

Background

Several attempts have been made for green synthesis of nanoparticles of different metals and metal oxides, revealing the significance of plant extracts in reducing metal source to nanoparticles and applications in various scientific domains.

Main body

The present article focus on applications of Vitex negundo leaves extract in fabrication of nanoparticles of various metals like silver, gold, zinc oxide, and copper oxide. Vitex negundo is evergreen, perennial shrub, belonging to family Verbenaceae. Its leaves are reported to contain several phytochemicals like iridoids, flavonoids, and their glycosides, terpenoids. In respective research attempts, these metallic nanoparticles were evaluated for one or more applications like anti-microbial activity and/or photocatalytic activity.

Conclusions

Use of V. negundo polar extract indicated involvement of its polar phytocompounds in reducing the metal source and stabilizing the nanoparticles. In conclusion, it could be noted that metal nanoparticles have better antimicrobial activity and photocatalytic potential over aqueous leaves extract.

Correlation intensity index: Building up models for mutagenicity of silver nanoparticles

Nanomaterials become significant component of economics. Consequently, nanomaterials become object of environmental sciences. There is a traditional list of endpoints which are indicators of the ecological risk. Mutagenicity is one of important component in this list. The quasi-SMILES approach, that in contrast to majority of work dedicated to modelling behaviour of nanomaterials gives possibility to consider experimental conditions as well as other circumstances which can impact the behaviour of nanomaterials is suggested. This is carried out via so-called quasi-SMILES. The quasi-SMILES is a line on of codes that contains all the above available eclectic data. Modelling process aimed to build up a model involves Correlation Intensity Index (CII) that is a new criterion of predictive potential of models. The scheme of calculation of CII is described in this work in the first time. The applying of CII together with Index of Ideality Correlation (IIC) in modelling of mutagenicity of silver nanoparticles by the Monte Carlo method using the CORAL software (http://www.insilico.eu/coral) indicates that application of the CII improves the predictive potential of these models for three random splits into the training set (75%) and validation set (25%).

Partial oxidation of 2-methyl-1,3-propanediol to methacrylic acid: experimental and neural network modeling

Methacrylic acid (MAA) is a specialty intermediate to produce methyl methacrylate (MMA), which is a monomer for poly methyl methacrylate.