BATISTA, S. O. S.; http://lattes.cnpq.br/5345709180299932; BATISTA, Sérgio Orlando de Souza.
Resumen:
In this study, nickel ferrite (NiFe204) plus nickel oxide (NiO) nanocomposites were
synthesized by chemical routes: combustion reaction at 500 0 C, and Pechini method
at 700, 900 and 1100 0 C. X-ray diffractometry (XRD) and scanning electron
microscopy (SEM) were used to the structural and morphological characterizations.
Hysteresis curves at room temperature were obtained using a vibrating sample
magnetometer (VSM). Also, the electrical resistance versus relative humidity of the
composites (adsorption and desorption) in the form of fims were obtained. These
measurements characterized the samples for application as humidity sensor devices.
Rietveld refinement of the XRD patterns possibly to identify and quantify the
presence of crystalline nickel ferrite and nickel oxide (in smaller concentration)
phases. The crystallite mean size for the samples obtained by the Pechini method
grows with increasing temperature from 700 to 900 ° C, being stable from 900 to
1100 ° C. The images obtained by SEM showed good morphology for the
nanoparticles, which favors the formation of pores for all samples. However, the
number of pores and volume of pores seems to be different for all samples, showing
influences on the electrical properties (qualities of the humidity sensor). It was also
observed an increase in the average grain size of samples with increasing heat
treatment temperature, probably due to the coalescence between crystallites favored
at higher temperatures. The magnetization curves for the samples showed low
coercivity and high saturation magnetization, which classify it as a soft ferromagnet
(or ferrimagnet). For the electrical resistance versus relative humidity curves, it was
observed that the sample obtained by combustion reaction method showed a shorter
response time, when compared to the Pechini reaction ones. In addition, samples
obtained by Pechini reaction at 700 ° C showed greater sensibility to humidity and
smaller recover time, both related to good performance in humidity sensor
applications.