In the project, the catalytic reduction of nitro aromatic reduction was studied. First, by modifying the cellulose nanocrystalline surface by the 3-aminopropyltrimethoxylan correction agent on the substrate. In order to increase the efficiency of the catalyst, the Tris complex (Dibenzylidene acetone) was synthesized by di-palladium (0) and fixed on the bed. Synthesized nano-catalyst synthesized by FT-IR spectroscopy, 1HNMR, X-ray diffraction pattern (XRD), scanning electron microscopes (SEM), X-ray diffraction EDX, transmitted electron microscopes (TEM), thermogravimetric analysyis (TGA) and Induced coupled plasma (ICP) was identified and characterized. The progress of the catalytic reaction was monitored by ultraviolet-visible electron spectroscopy. The kinetic parameters of activation energy, entropy and enthalpy respectively in reduction of para nitrophenol 17/36×106 (1/min), 138/6 (KJ/molK),47/50 (KJ/mol) were determined. The catalyst was used several times in the recovery cycle of the nitro reduction catalyst process and showed high efficiency without significant reducing the reaction rate. also in the project, cellulose@Ag nanocomposite adsorption was investigated in order to absorb the surface of the congored color. The synthesized magnetic nanoparticle composite was detected by FT-IR spectroscopy, VSM Analysis, X-ray diffraction, field emission scanning electron microscopy (FE-SEM) coiled with energy dispersive X-ray diffraction (EDX). Absorption efficiency was investigated with emphasis on various parameters such as pH, contact time, color concentration and amount of adsorbent. The results are as follows respectively 6/5, 15 (min), 30 (mg/l), and 0/05 (g) were determined. In order to better understand the adsorption process, adsorption kinetics and equilibrium isotherms were investigated. constant equations were determined using linear and nonlinear least squares fitting methods. In the study of the value of the absorption equations, a set of error functions such as R2, RMSE and ?2 were used. The results of this research have shown that the choice of the type of error function and the syntax of determining the parameters of the equations (linear and nonlinear fitting method) is very effective in the final conclusion in order to select the most suitable kinetics and isotherm.