scholarly journals An overview on the green synthesis of nanoparticles and other nano-materials using enzymes and their potential applications

2019 ◽  
Vol 9 (5) ◽  
pp. 4255-4271 ◽  

The applications of nanoparticles (NPs) and another nanomaterial (NM) are widely increasing in various fields including biomedical and clinical sciences. Conventional methods used for the synthesis of NM have several demerits like chemical procedures producing toxic materials and physical methods being costly and forming particles of non-uniform sizes. The use of such NM has prevented their applications in biomedical fields especially in clinical applications. In order to use NPs in clinical fields, there is a need to use reliable, nontoxic and eco-friendly methods for their synthesis. The use of eco-friendly and biological methods for the synthesis of NPs and other NM has attracted the attention of nanobiotechnologists due to synthesis of such particles by using nontoxic method. The enzymatic synthesis of NPs is highly specific as this procedure results in the formation of nontoxic materials of controlled shape, size and high stability. In this chapter an effort has been made to critically review recent developments in the area of biosynthesis of several types of NM by using enzymes of diverse groups such as oxidoreductases, transferases, hydrolases, lyases and ligases. The mechanisms of enzyme catalyzedsynthesis of NPs and the reaction conditions to control their shape, size, and stability of NPs have also been described. Numerous kinds of techniques employed for the identification and characterization of NM have been discussed. The biomedical and other applications of as-synthesized NM have also been mentioned in this article.

2003 ◽  
Vol 93 (4) ◽  
pp. 361-376 ◽  
Author(s):  
R.J. White ◽  
L. Winokur

AbstractStudies examining and using pattern variation in insects for identification and characterization of individuals and populations have been limited by the methods available for quantifying wing patterns objectively. In this paper, differences in wing pattern are demonstrated statistically using moment invariant data sets generated automatically from digitized images of the speckled wood butterfly, Pararge aegeria (Linnaeus). Studies with other biological subjects have already shown moment invariants to work well with outline shapes and silhouettes. A pilot study with replicated monochrome photographs of a single butterfly showed the method could detect pattern differences between wing surfaces, even in the presence of simulated wing fading and damage. In a further study of the wings of 228 specimens, multivariate analyses of variance using the moment data reliably detected differences between groups of butterflies according to sex, geographical origin and culture history. Potential applications and future improvements of the moment methodology are considered.


2020 ◽  
Vol 8 (5) ◽  
pp. 2207-2221 ◽  
Author(s):  
Yusen Yang ◽  
Min Wei

This review summarizes and highlights the recent developments in the design, synthesis, and characterization of intermetallic compound catalysts and their potential applications in the heterogeneous catalytic field.


Retrovirology ◽  
2015 ◽  
Vol 12 (1) ◽  
Author(s):  
Helena Mata ◽  
Jaime Gongora ◽  
Eduardo Eizirik ◽  
Brunna M Alves ◽  
Marcelo A Soares ◽  
...  

2002 ◽  
Vol 24 (4) ◽  
pp. 21-23 ◽  
Author(s):  
Ronan O’Malley

Proteomics, the study of the expressed protein complement of a genome, centres on the identification and characterization of protein mixtures isolated from biological systems. Mass spectrometry (MS), in combination with one or more pre-separation steps, is currently the preferred method for analysing protein samples. Recent developments in these disciplines, particularly the emergence of high-throughput, automated techniques, have led to an exponential increase in data quantity -- gigabytes of data can be produced daily. A major challenge lies in processing these data to extract the maximum amount of information in a time- and labour-efficient manner. To meet this challenge, Micromass UK Ltd has developed a comprehensive proteomics software suite, ProteinLynxTM GlobalSERVER 2.0, which enables the automated processing, analysis, storage and reporting of proteomics data.


2019 ◽  
Vol 70 (1) ◽  
pp. 21-43 ◽  
Author(s):  
Benjamin G. Levine ◽  
Michael P. Esch ◽  
B. Scott Fales ◽  
Dylan T. Hardwick ◽  
Wei-Tao Peng ◽  
...  

The ability to predict and describe nonradiative processes in molecules via the identification and characterization of conical intersections is one of the greatest recent successes of theoretical chemistry. Only recently, however, has this concept been extended to materials science, where nonradiative recombination limits the efficiencies of materials for various optoelectronic applications. In this review, we present recent advances in the theoretical study of conical intersections in semiconductor nanomaterials. After briefly introducing conical intersections, we argue that specific defects in materials can induce conical intersections between the ground and first excited electronic states, thus introducing pathways for nonradiative recombination. We present recent developments in theoretical methods, computational tools, and chemical intuition for the prediction of such defect-induced conical intersections. Through examples in various nanomaterials, we illustrate the significance of conical intersections for nanoscience. We also discuss challenges facing research in this area and opportunities for progress.


2014 ◽  
Vol 25 (4) ◽  
pp. 279-287 ◽  
Author(s):  
Stefan Hey ◽  
Panagiota Anastasopoulou ◽  
André Bideaux ◽  
Wilhelm Stork

Ambulatory assessment of emotional states as well as psychophysiological, cognitive and behavioral reactions constitutes an approach, which is increasingly being used in psychological research. Due to new developments in the field of information and communication technologies and an improved application of mobile physiological sensors, various new systems have been introduced. Methods of experience sampling allow to assess dynamic changes of subjective evaluations in real time and new sensor technologies permit a measurement of physiological responses. In addition, new technologies facilitate the interactive assessment of subjective, physiological, and behavioral data in real-time. Here, we describe these recent developments from the perspective of engineering science and discuss potential applications in the field of neuropsychology.


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