Evidence of magnetism in electrospun PbFe12O19 nanofibers

Prathap, S.; Madhuri, W.

doi:10.1007/s00339-019-2613-x

Cited by 4 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At a low temperature, almost all PbFe 12 O 19 samples (Figure 3A-H) showed three characteristic peaks of 634, 533 and 458cm -1 . The peaks at 533 and 458cm -1 corresponded to the Fe-O and Pb-O bonds from PbFe 12 O 19 hexagonal ferrite, respectively [39][40][41][42][43][44] . The peak at 634cm -1 was attributed to Pb-O bond from PbO or PbFe 4 O 7 [45] .…”

Section: Ftir Analysismentioning

confidence: 99%

Hexagonal Lead Ferrite Magnetic Separation Catalysts: Synthesis, Optical Characterization, Ultrasonic Catalytic Activity and Performance Prediction

2022

J Mod Polym Chem Mater

View full text Add to dashboard Cite

Objective: This study was performed to explore a new method to synthesize PbFe 12 O 19 magnetic separation catalysts and analyze its ultrasonic catalytic activity for the degradation of rhodamine B (RhB) dye under ultrasonic vibration.Methods: A polyacrylamide gel method was developed to synthesize the hexagonal lead ferrite (PbFe 12 O 19 ) magnetic separation catalysts with different Fe/Pb molar ratios and sintering temperatures. Results:The phase structure and composition of PbFe 12 O 19 magnetic separation catalysts altered with the change in the Fe/Pb mole ratio and sintering temperature. The color properties, energy band values and degradation percentages of PbFe 12 O 19 magnetic separation catalysts for the degradation of RhB dye under ultrasonic vibration were linearly independent of Fe/Pb mole ratio and sintering temperature. The maximum degradation percentage of 78.99% for the PbFe 12 O 19 magnetic separation catalysts for the removal of RhB from wastewater was found at 2g/L of initial catalyst concentration, 50mg/L of initial dye concentration, and 180min of vibration time. Conclusion:The PbFe 12 O 19 magnetic separation catalysts exhibited high catalytic activity for the degradation of RhB dye under ultrasonic vibrations. Based on the experiment parameters, a neural network model was established to predict the effect of synthesis parameters on the degradation percentage of PbFe 12 O 19 catalysts. This work further confirmed that the neural network algorithm was available to predict the ultrasonic catalytic activity of semiconductor materials.

show abstract