Photo-Fenton degradation of nano-structured La doped CuO nanoparticles synthesized by combustion technique

Rodney, John D.; Deepapriya, S.; Vinosha, P. Annie; Krishnan, Sridevi; Priscilla, S. Janet; Daniel, R.; Das, Subhajyoti

doi:10.1016/j.ijleo.2018.01.125

Cited by 59 publications

(14 citation statements)

References 49 publications

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“…However, as the rare earth element (La) was doped, this limited the growth of CuO infrastructures to acquire different nanostructure morphologies with decreased size. 33 Therefore, La@CuO displayed a hierarchal sea sponge-like morphology, as shown in Fig. 1(C) .…”

Section: Resultsmentioning

confidence: 84%

Functionalized thiazolidone-decorated lanthanum-doped copper oxide: novel heterocyclic sea sponge morphology for the efficient detection of dopamine

et al. 2022

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Section: Resultsmentioning

confidence: 84%

Functionalized thiazolidone-decorated lanthanum-doped copper oxide: novel heterocyclic sea sponge morphology for the efficient detection of dopamine

et al. 2022

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“…The nanocomposite of 60 % R‐HDPE and 40 % CuO NPs illustrated the Cu−O stretching vibration at 559 cm −1 and 1114 cm −1 , in addition to the presence of some characteristic peaks of the R‐HDPE at 1445, 2835 and 2905 cm −1 . The spectrum of nanocomposite with 60 % R‐HDPE, 20 % nano CuO, and 20 % PTA was shown the following peaks at 514, 793, 1115, 1443, 1636, 2353, 2916 and 3357 cm −1 which represent the peaks for nano CuO, PTA, and the recycled high‐density polyethylene [15–20] …”

Section: Resultsmentioning

confidence: 99%

“…The spectrum of nanocomposite with 60 % R-HDPE, 20 % nano CuO, and 20 % PTA was shown the following peaks at 514, 793, 1115, 1443, 1636, 2353, 2916 and 3357 cm À 1 which represent the peaks for nano CuO, PTA, and the recycled high-density polyethylene. [15][16][17][18][19][20] Thermal gravimetric analysis was implemented to determine the various degradation steps and the thermal stability of the prepared nanocomposites. The PTA illustrated two thermal degradation steps, the first step between 24.38 to 68.46°C with a loss rate of about 6.564 %, due to the loss of outer water molecules.…”

Section: Characterization By Using Diverse Techniques Ft-ir Tga and Xrdmentioning

confidence: 99%

A comparative Study Between Fluka and Microshield Modeling Calculations to study the Radiation‐Shielding of Nanoparticles and Plastic Waste composites

El-Taher

Zakaly

Pyshkina

et al. 2021

Zeitschrift anorg allge chemie

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A comparative study has been conducted by using Monte Carlo FLUKA code and Microshieldsoftware programs to study the radiation shielding properties of plastic waste mixed with nano copper oxide (CuO) and phosphotungstic acid (PTA). The variousdiverse percentages of new nanocomposite have been prepared using the compression moulding technique, then they are characterized using Fourier transfer infrared spectrophotometer (FT-IR), thermal gravimetric analysis (TGA), X-ray diffraction (XRD). The new nanocomposite has been established as a effective shielding material towards gamma radiation due to the presence of dense materials, like nano copper oxide and phosphotungstic acid. The gamma radiation attenuation has been established by using the previously mentioned methods.The results have proved that the mass attenuation coefficients (μ m ) and effective atomic (Z eff ), and electron densities (N el ) of the samples increased with increasing the phosphotungstic acid (PTA) content while the half-value layer (HVL), the tenth value layer (TVL), and the mean free path (MFP) decreased as PTA increased. Experimental Work Chemicals and MaterialsAll the chemicals in this work have been used without any purification, sodium hydroxide NaOH (FW 40 g mol À 1 and assay > 99 %, BDH company, UK); Copper (II) acetate Cu(CH 3 COO) 2 (FW 181.63 g mol À 1 and assay > 98 %, Sigma-Aldrich Company, USA);

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“…Modeling of energy gap of doped CuO semiconductors was carried out using fifty-seven samples of the semiconductor as extracted from the literature [8,10,11,[29][30][31][32][33][34][35][36][37]. The lattice parameters of the semiconducting samples after dopant incorporation serve as the model inputs.…”

Section: Description Of Data Acquisition and Data Sourcementioning

confidence: 99%

Engineering the Energy Gap of Cupric Oxide Nanomaterial Using Extreme Learning Machine and Stepwise Regression Algorithms

Alqahtani

2021

Journal of Nanomaterials

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CuO is a narrow band gap semiconductor with distinct features that render it indispensable in many industrial and technological applications such as environmental friendly catalysts for organic pollutant removal, sensors, photovoltaic, solar cells, batteries, and storage media among others. Engineering of its energy gap becomes imperative and necessary for tailoring its light absorption capacity to a desired level required for a particular application. Elemental doping mechanisms with accompanied lattice distortion symmetry breaking effectively enhance the optical property of this semiconductor and serve as a major route through which material design is achieved. This work develops an extreme learning machine intelligent predictive (ELM-IP) model and stepwise regression (SWR) based model for estimating energy gap of a doped CuO semiconductor. The developed ELM-IP-Sin model which employs sine activation function performs better than the ELM-IP-Sig model (that utilizes sigmoid activation function) and SWR model with a percentage improvement of 14.15% and 50.05%, respectively, using root mean square error (RMSE) metric, while the developed ELM-IP-Sig model outperforms the SWR-based model. The developed models further investigate the dependence of CuO energy gap on iron and cobalt impurity incorporation, and the obtained results agree well with measured values. The outstanding performance of the developed models is highly meritorious in tailoring the light response capacity of CuO semiconductor for photocatalytic and optoelectronics applications at a reduced cost while the experimental stress is circumvented.

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Photo-Fenton degradation of nano-structured La doped CuO nanoparticles synthesized by combustion technique

Cited by 59 publications

References 49 publications

Functionalized thiazolidone-decorated lanthanum-doped copper oxide: novel heterocyclic sea sponge morphology for the efficient detection of dopamine

Functionalized thiazolidone-decorated lanthanum-doped copper oxide: novel heterocyclic sea sponge morphology for the efficient detection of dopamine

A comparative Study Between Fluka and Microshield Modeling Calculations to study the Radiation‐Shielding of Nanoparticles and Plastic Waste composites

Engineering the Energy Gap of Cupric Oxide Nanomaterial Using Extreme Learning Machine and Stepwise Regression Algorithms

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