Chromium (Cr)-doped cobalt ferrite nanoparticles were synthesized using a sol–gel autocombustion method, with the chemical formula CoCr_xFe_2xO₄. The value of x ranged from 0.00 to 0.5 in 0.1 increments. X-ray diffraction analysis confirmed the development of highly crystalline cubic spinel structures for all samples, with an average crystallite size of approximately 40 to 45 nm determined using the Scherrer equation. Pellets were prepared using a traditional ceramic method. The magnetic and magnetostrictive properties of the samples were tested using strain gauge and VSM (vibrating sample magnetometer) techniques. The results of the magnetic and magnetostrictive tests showed that the chromium-substituted cobalt ferrites exhibited higher strain derivative magnitudes than pure cobalt ferrite. These findings indicated that the introduction of chromium into the cobalt ferrite structure led to changes in the material’s magnetic properties. These changes were attributed to anisotropic contributions, resulting from an increased presence of Co²⁺ ions at B-sites due to the chromium substitutions. In summary, this study concluded that introducing chromium into the cobalt ferrite structure caused alterations in the material’s magnetic properties, which were explained by changes in the cationic arrangement within the crystal lattice. This study successfully explained these alterations using magnetization and coercivity data and the probable cationic dispersion.

A solution equilibria study of ternary systems containing Mn²⁺ and Co²⁺ with Azelaic acid dihydrazide (AZDH) as L and α-amino acids L - Proline and L - Lysine as X of type [M_mL_lX xH_h], was carried out with the help of potentiometric method for data acquisition followed by chemometric modelling studies, (where m = 1, 2; The SOPHD programme is used to generate relative simulation and titration curves. The speciation analysis and evaluation of formation constants (303K and 0.01M ionic strength) were computed with the MINIQUAD-75 computer software, and concentration distribution graphs were generated with the HySS programme. Various statistical parameters were considered to choose the best-fit chemical models. The ∆log K formulation was used to compare the stability of ternary compleyxes with binary complexes.