Enhance antimicrobial activity of ZnO nanomaterial's (QDs and NPs) and their analytical applications

The small scale nanomaterial's such as quantum dots and nanoparticles, which have unique properties studied under varying conditions. Various techniques were used in order to best understand the structure of ZnO nanoparticles and quantum dots, which inhibit the growth of Escherichia coli bacteria under dose dependent manner. The results of obtained datas were confirmed with statistical analytical methods. The linear regressive equation data obtained from UV-visible spectra, which give satisfactory results and allows to quickly and easily calculate statistical datas such as: concentration range of analytes, mean, standard deviation, variance and standard analytical error, relative standard deviation, coefficient of correlation, variance of regression line errors in the slope and the intercept, confidence limit for the slope and the intercept Instead, validation is an important trait measure by any methods due to near to the quality of results. The proposed method validated by specificity, precision, accuracy, limit detection and quantitation. The absorption spectra of sample solution were recorded maximum absorbance for both nanoparticles (NPs) and quantum dots (QDs) at lambda(max) 600 nm, this wavelength was suitable and selected for all operational analytical measurements. The size and shape of the prepared NPs and QDs were examined with sophisticated instruments such as FESEM and TEM, whereas crystallinity of the prepared materials was analyzed with X-ray diffraction pattern (XRD). (C) 2014 Elsevier B.V. All rights reserved.