Synthesis and photocatalytic activity in methyl orange degradation of mesoporous-assembled SrTiO3 nanocrystals prepared by sol–gel method with the aid of structure-directing surfactant

Puangpetch, Tarawipa; Sreethawong, Thammanoon; Chavadej, Sumaeth

doi:10.1016/j.molcata.2008.02.027

Cited by 137 publications

(54 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…SCS is based on the exothermic reaction and once the reaction is initiated, it undergoes self-sustaining combustion. Thus this method is adapted to synthesis spinel copper ferrite in its nanosize with highly porous structure which is required for good adsorption property [23]. In our study we adopted adsorption method to remove dye from the effluent as its easy and less expensive technique since no energy sources is involved in the process.…”

Section: Introductionmentioning

confidence: 99%

Removal of malachite green from aqueous solution by magnetic CuFe2O4 nano-adsorbent synthesized by one pot solution combustion method

et al. 2017

View full text Add to dashboard Cite

In the present investigation nano copper ferrite, CuFe 2 O 4 (CF) is synthesized by one pot energy saving solution combustion synthesis. The combustion derived copper ferrite nanoadsorbent is characterized by powder X-ray diffraction, Fourier transform infra-red spectroscopy, scanning electron microscopy, transmission electron microscopy and UV-Vis spectroscopy. The magnetic behavior is studied by Vibrating sample magnetometer measurements and the results shows it's a soft ferromagnet with low saturation magnetization and coercive effect. CF nanopowder is used as good magnetically separable nanoadsorbent. Adsorption property is evaluated by the removal of malachite green, a dye which is widely used by many industries, from its aqueous solution. Various parameters like contact time (5-30 min), adsorbent loading (0-45 mg) are investigated systematically by batch experiments. Adsorption isotherms and kinetic studies also conducted which shows that the adsorption follows pseudo second order mechanism. The experimental data fitted well with the Langmuir isotherm (R 2 = 0.978), yielding a maximum adsorption capacity of 22 mg/g. The optimum adsorbent dose was found to be 40 mg/L and stirring time experiment reveals that 85% of decolourization was observed for 30 min of stirring at neutral pH which is much more efficient than those reported in literature. Graphical abstract

show abstract

Section: Introductionmentioning

confidence: 99%

Removal of malachite green from aqueous solution by magnetic CuFe2O4 nano-adsorbent synthesized by one pot solution combustion method

et al. 2017

View full text Add to dashboard Cite

show abstract

“…However, such methods are expensive and become inefficient at low concentrations and can consequently be used as post techniques. So, the photocatalysis is a clean and cheap process and is attractive to take the relay for the water decontamination (Kaur and Pal 2012); photocatalysis has emerged as a promising solution (Hernández-Gordillo et al 2012;Puangpetch et al 2008). In this regard, many semiconductor (SC) oxides have been used to convert inorganic pollutants into less harmful forms, the CuFeO 2 -CB (*-1 V SCE ) is more negative than the potential of many M 2?/0 couples which can be reduced spontaneously Omeiri et al 2008).…”

Section: Introductionmentioning

confidence: 99%

Preparation and characterization of nano structured Ba2SnO4 as a novel photocatalyst material for the chromate reduction

et al. 2013

View full text Add to dashboard Cite

The photo-electrochemical properties of the layered perovskite Ba 2 SnO 4 , prepared by nitrate route are reported for the first time. The oxide exhibits a direct optical transition at 2.98 eV, attributed to the charge transfer O 2-: 2p ? Sn 4? : 5s and possesses a chemical stability over the whole pH range. The Mott Schottky plot in acidic medium is characteristic of n type conductivity with a flat band potential E fb of -0.84 V SCE and an electron density N D of 1.14 9 10 17 cm -3 . The electrochemical impedance spectroscopy reveals the bulk and grain boundaries contributions. Ba 2 SnO 4 is of interest for the environmental protection. At pH 2.5, its conduction band (CB, -0.86 V SCE ) is below the HCrO 4 -level, yielding a spontaneous reduction to Cr 3? under UV light. The reduction is optimized with respect to the Cr(VI) concentration. The photo reduction follows a pseudo-first-order kinetic and the data fit well the Langmuir-Hinshelwood (L-H) model with an apparent rate constant of 0.18 h -1 for an initial concentration of 50 ppm. The chromate reduction under solar light is studied under optimized conditions. In presence of oxalic acid, 73 % of initial concentration disappears after *2 h of irradiation.

show abstract

“…[51][52][53] Traditionally, these materials are synthesized with the involvement of high-temperature heating steps to drive the formation of the final ternary compound from binary precursors. 54,55 As shown in Table 1, we find that a logistic regression classifier achieves an accuracy of 74% when differentiating between SrTiO 3 and BaTiO 3 syntheses using canonical feature input vectors. This suggests that distinguishing between SrTiO 3 and BaTiO 3 syntheses is neither impossible nor trivially easy, as such cases would tend to yield accuracies of 50% and 100%, respectively.…”

Section: Resultsmentioning

confidence: 90%

Virtual screening of inorganic materials synthesis parameters with deep learning

Kim

Huang

Jegelka³

et al. 2017

npj Comput Mater

169

136

View full text Add to dashboard Cite

Virtual materials screening approaches have proliferated in the past decade, driven by rapid advances in first-principles computational techniques, and machine-learning algorithms. By comparison, computationally driven materials synthesis screening is still in its infancy, and is mired by the challenges of data sparsity and data scarcity: Synthesis routes exist in a sparse, highdimensional parameter space that is difficult to optimize over directly, and, for some materials of interest, only scarce volumes of literature-reported syntheses are available. In this article, we present a framework for suggesting quantitative synthesis parameters and potential driving factors for synthesis outcomes. We use a variational autoencoder to compress sparse synthesis representations into a lower dimensional space, which is found to improve the performance of machine-learning tasks. To realize this screening framework even in cases where there are few literature data, we devise a novel data augmentation methodology that incorporates literature synthesis data from related materials systems. We apply this variational autoencoder framework to generate potential SrTiO 3 synthesis parameter sets, propose driving factors for brookite TiO 2 formation, and identify correlations between alkali-ion intercalation and MnO 2 polymorph selection.

show abstract

Synthesis and photocatalytic activity in methyl orange degradation of mesoporous-assembled SrTiO3 nanocrystals prepared by sol–gel method with the aid of structure-directing surfactant

Cited by 137 publications

References 30 publications

Removal of malachite green from aqueous solution by magnetic CuFe2O4 nano-adsorbent synthesized by one pot solution combustion method

Removal of malachite green from aqueous solution by magnetic CuFe2O4 nano-adsorbent synthesized by one pot solution combustion method

Preparation and characterization of nano structured Ba2SnO4 as a novel photocatalyst material for the chromate reduction

Virtual screening of inorganic materials synthesis parameters with deep learning

Contact Info

Product

Resources

About