Mathematical modeling of physico-chemical characteristics of mortar-waste composites in radioactive waste management

Plećaš, I.; Dimović, Slavko

doi:10.1016/j.pnucene.2011.09.010

Cited by 1 publication

(2 citation statements)

References 16 publications

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“…Generally, the use of the parabolic diffusion equation was implemented to determine the process governed by diffusion [29]. Plecas (2003) effectively characterized waste radioactive composites using this particular model [30]. This model can be correlated using Equation 6, y is the extraction yield, Ai represents the parameter that needs to be established, and t represents the extraction time (in unit of minutes).…”

Section: Parabolic Diffusion Modelmentioning

confidence: 99%

“…This model can be correlated using Equation 6, y is the extraction yield, Ai represents the parameter that needs to be established, and t represents the extraction time (in unit of minutes). This empirical equation pertains to a two-step extraction process, encompassing washing and diffusion stages, without any involvement of chemical reactions [31]. Subsequently, Equation 6 can be transformed into Equation 7, with A0 and A1 representing the washing coefficient and the constant for diffusion rate, respectively.…”

Section: Parabolic Diffusion Modelmentioning

confidence: 99%

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Extraction of Bioactive Secondary Metabolites from Citrus Maxima Peel Via Pressurized Hot Water Extractor for the Synthesis of Iron Oxide Nanoparticles

Yi-Peng Teoh,

Nurdalilah Othman,

Sung-Ting Sam

et al. 2024

IJNeaM

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Using bioactive secondary metabolites (BSM) from Citrus maxima peel extract, this work investigated a green method of synthesizing magnetite iron oxide (Fe3O4) nanoparticles (NPs). The BSM acts as a reducing cum stabilizing agent in the process. The optimization of the BSM parameters were conducted through response surface methodology (RSM). The optimal condition obtained in this study for pressurized hot water extractor (PHWE) extraction was temperature of 94.96 °C, solvent-to-solid ratio of 29.7 ml/g and extraction time of 27.6 min. BSM Yield of 49.31 % could be obtained based on this condition. The formation of Fe3O4 NPs were detected using the FTIR analysis with the absorption peaks observed at around 590 and 580 cm−1. X-ray diffraction results matched standard magnetite Fe3O4 patterns with planes at (220), (311), (400), (511) and (440). Field emission scanning electron microscopy (FESEM) results showed that the magnetite Fe3O4 NPs synthesized in this study predominantly appeared in spherical shape. The extraction process's kinetics were examined using various empirical models, including the Elovich’s model, Peleg’s model, Power law and parabolic diffusion model. All applied models were found to be well fitted with the measured data from experiment, with R2 values exceeding 0.9. Notably, the Peleg’s model exhibited the highest R2, the smallest RMSD, and the least significant p-values, indicating its superior performance.

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Section: Parabolic Diffusion Modelmentioning

confidence: 99%

Section: Parabolic Diffusion Modelmentioning

confidence: 99%