Optimization of process parameters and its effect on particle size and morphology of ZnO nanoparticle synthesized by sol–gel method

Dutta, Debasish

doi:10.1007/s10971-015-3827-9

Cited by 24 publications

(10 citation statements)

References 19 publications

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“…These properties have led to multiple applications of ZnO in various technological areas, such as optoelectronics, cosmetology, medicine, and industry [1,2]. In addition, ZnO is a low toxicity, biocompatible and biodegradable material; these properties make possible its use in photocatalysis for water treatment [3].…”

Section: Introductionmentioning

confidence: 99%

Synthesis of ZnO Nanopowders by the Homogeneous Precipitation Method: Use of Taguchi’s Method for Analyzing the Effect of Different Variables

Herrera-Rivera

Olvera

Maldonado

2017

Journal of Nanomaterials

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In the present work the effect of different factors in the synthesis of ZnO powders by the homogeneous precipitation method is analyzed. A robust statistical technique, Taguchi's method, was used to reduce the experiments number. The variables studied were precursor, solvent and precipitating agent type, Zn molar concentration, percentage of saturation, speed and time of agitation, and temperature of synthesis. In order to optimize the particle size, an experimental design of 18 trials was proposed, according to L 18 Taguchi array. Structural and morphological properties were characterized by X-ray diffraction (XRD) and scanning and transmission electron microscopy techniques (SEM and TEM). The estimated crystallite size in synthesized samples ranged from 32 to 57 nm. The morphologies obtained presented several forms, such as spheres, wires, flowers, bars, and tetrahedrons, with a particle size variation of 35 to 165 nm. In this work it is shown that using a statistical experimental design leads us to a fast and reliable optimization of the synthesis parameters for obtaining small size ZnO nanoparticles, thus optimizing time and human and materials resources.

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Section: Introductionmentioning

confidence: 99%

Synthesis of ZnO Nanopowders by the Homogeneous Precipitation Method: Use of Taguchi’s Method for Analyzing the Effect of Different Variables

Herrera-Rivera

Olvera

Maldonado

2017

Journal of Nanomaterials

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“…6 . The morphological properties of ZnO nanostructures are changed with annealing temperatures from nanorods to nanospheres due to the variation of nucleation rate and crystal growth 66 . Annealing at 100 °C results in agglomeration of nanorods with about diameter within a range of 28.41–34.09 nm and length of 198.86 nm as shown in Fig.…”

Section: Resultsmentioning

confidence: 99%

Cancer bioimaging using dual mode luminescence of graphene/FA-ZnO nanocomposite based on novel green technique

Wanas

El-Kaream

Ebrahim

et al. 2023

Sci Rep

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Graphene based nanomaterials are explored in the field of cancer bioimaging and biomedical science and engineering. The luminescent nanostructures with a low toxicity and high photostability can be used as probes in bioimaging applications. This work is aimed to prepare graphene/folic acid-zinc oxide (GN/FA-ZnO) nanocomposite with dual-mode emissions (down-conversion and up-conversion) to be used in cancer bioimaging. The dual mode emissions offer long luminescence lifetime, multicolor emissions detected by the naked eyes after excitation and narrow band absorption and emission spectra. ZnO nanospheres and nanorods structures were prepared using co-precipitation technique and were conjugated with FA to separate the bulk graphite layers electrostatically into GN. The optical, morphological, surface charge and structural properties of the prepared nanostructures were investigated and discussed using different characterization techniques such as UV–visible spectroscopy, photoluminescence (PL) spectroscopy, scanning electron microscope (SEM), high resolution transmission electron microscope (HRTEM), Zeta potential, Raman spectroscopy, X-ray photoelectron spectroscopy (XPS), X-ray powder diffraction (XRD), and Fourier transform infrared (FTIR). GN/FA-ZnO nanocomposites were injected into Swiss albino mice implanted with Ehrlich Tumor and the bioimaging was investigated using photon imager and digital camera. The results showed clear fluorescence and confirmed that the green design of GN/FA-ZnO nanocomposite with targeting behavior was capable of selective bioimaging of the tumor. This study presented a novel dual mode emission nanocomposite for tumor targeting and is a promising strategy for the fabrication of a new design of spectral encoding.

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“…This increased photocatalytic activity is directly related to highly hydroxylated surfaces and to the porosity of the nanoparticle. 14,15,54,55 Compared with commercial semiconductors, ZnO nanoparticles showed useful photocatalytic activity.…”

Section: Evaluation Of Photocatalytic Activitymentioning

confidence: 99%

“…14 These methods can give ZnO nanoparticles (ZnO NP) a different shape and size, providing ZnO its different application capabilities. 15 Several methods are mentioned in a recent search about optimization techniques for synthesizing nanomaterials. Among these methods, the synthesis of ZnO NP can be found by the sol-gel method, 7,14,16,17 co-precipitation method, 18 electrochemical method, 19 solution chemistry method, 20 controlled precipitation method, 21 and wet chemical method.…”

Section: Introductionmentioning

confidence: 99%

“…However, a significant particle size change has been reported with temperature increases from 300 to 700 °C. 15 Nanoparticle size can also be controlled by changing the Zinc precursor's concentration and when adding an amount of water. 20 The pH of the reactant solutions and the isoelectric point of ZnO have also been used to control particle size during the synthesis of ZnO NP.…”

Section: Introductionmentioning

confidence: 99%

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Use of artificial intelligence models for the reduction of nanoparticle size in the synthesis of ZnO

Martínez‐Vargas

Rodríguez

Pacheco‐Álvarez

et al. 2023

J of Chemical Tech & Biotech

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BACKGROUND: This study evaluates the effectiveness of an artificial intelligence (AI) model for predicting the best experimental conditions to reduce particle size during the synthesis of ZnO nanoparticles. Firstly, an artificial neural networks (ANN) was trained using 52 experimental data from the synthesis of ZnO nanoparticles. The selected input variables were temperature, experimental time, and NaOH concentration, and the output variable was nanoparticle size. The performance of the ANN was measured with the root mean square error and mean absolute percentage error, and the obtained values for the selected ANN were 0.67% and 9.87%, respectively. These values were calculated by using real and predicted values.RESULTS: A genetic algorithm (GA) model was coupled with the ANN to find the best operational conditions for the reduced size of ZnO nanoparticles. According to the AI model, a temperature of 59 °C, an experimental time of 56 min, and a concentration of NaOH of 0.08 should be tested to obtain ZnO nanoparticles with 5.67 nm of diameter. After applying the conditions predicted by the model, ZnO nanoparticles with a mean diameter of 5.3 ± 0.4 nm were obtained. The results were confirmed by using several characterization methods, such as approximation of effective masses (5.3 nm), equation Debye-Scherrer (5.2 nm), and high-resolution transmission electron microscope (HR-TEM) selected micrograph (5.5 nm). The photocatalytic activity of the synthesized nanoparticles was evaluated using the synthetic dye thymol blue. The best discoloration efficiency was reached by the synthesized ZnO nanoparticles at 74%, while the commercial ZnO only achieved 58%.CONCLUSION: According to the ANN-GA model, it was possible to predict the experimental conditions needed to obtain ZnO nanoparticles with reduced sizes and excellent photocatalytic activity.

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Optimization of process parameters and its effect on particle size and morphology of ZnO nanoparticle synthesized by sol–gel method

Cited by 24 publications

References 19 publications

Synthesis of ZnO Nanopowders by the Homogeneous Precipitation Method: Use of Taguchi’s Method for Analyzing the Effect of Different Variables

Synthesis of ZnO Nanopowders by the Homogeneous Precipitation Method: Use of Taguchi’s Method for Analyzing the Effect of Different Variables

Cancer bioimaging using dual mode luminescence of graphene/FA-ZnO nanocomposite based on novel green technique

Use of artificial intelligence models for the reduction of nanoparticle size in the synthesis of ZnO

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