تحضير وتشخيص مركبات النيكل/المنيوم النانويةالهجينةمع حامض الفوليك واقتراح معادلات لتحليل انتشار الحامض بين التجمعات الجزيئية

Preparation and Characterization of Ni/Al Nanohybrid with Folic Acid and Suggestion Equations to Evaluate the Diffusion of the Active Agent

For fully controlled drug release, it is important to understand the microstructure and nature of the layered double hydroxide that ultimately controls drug release properties. Ni/Al-Folic acid-Layered double hydroxide with the molar ratio of (R = 3, 4, 5 and 6) were prepared by two different approaches by direct (co-precipitation) and indirect of an ion-exchange method from aqueous solution by hydrothermal treatment for the formation of new nanohybrid compound as reported.

Layered double hydroxides of nickel and aluminum compounds were prepared under the hydrothermal treatment at 70, 120 and 180˚C. Characterization of LDH using X-Ray Diffractogram showed the presence of sharp and intense peaks with the d-spacing 7.9 Å which signify high crystallinity at 180˚C and it is regarded as the most convenient at this temperature degree. While, the XRD pattern of Folic acid-LDH showed the presence of sharp and intense peaks with the d-spacing 17.3 Å.

The comparison of the FTIR spectra of FA together with Ni-Al-NO₃-LDH and Ni-Al-FA-LDH reveals that the FTIR absorption bands for the nanocomposite resemble a mixture of the FA and LDH absorption characteristics, which indicates that the FA was successfully intercalated into the Ni-Al interlayer.

The release of Folic acid (FA) from the nanohybrid into the release media was accomplished using various aqueous solutions: carbonate, phosphate and sulphate. It is observed that carbonate dominated the accumulated release percentage.

Release kinetics of FA has been evaluated with various models such as zero^th order, first order and pseudo-second order as well as Bhaskar equation. It is observed that the release profiles of FA were governed by pseudo-second order.

Additionally, in this study, novel equations were innovated that were used for predicting the diffusion of guest anion through LDHs nanohybrid particles and applied it for the folic acid released. These equations were more suitable for diffusion than the previous equations like Bhaskar equation and it is the most convenient.

An Artificial Neural Network (ANN) based on the Quick Propagation (QP) algorithm was used in this study to predict the concentration of folic acid released (Ct) at the time t.