Abstract
The paper demonstrates that activated carbon surface area, micropore volume, and toal pore volume can be estimated using multiple regression with iodine and methylene blue numbers. The method was developed by studying activated carbon samples made from rice husk precursors. A justification for the selection criteria is given based on the physicochemical characteristics of the adsorbent. Activated carbon was studied to systematically evaluate the influence of pore structure and surface chemistry. A technique has been developed to estimate the surface area, micropore volume and total pore volume of activated carbon samples by multiple regression of iodine number and methylene blue number. Among a series of KKK samples obtained by activating rice husks with phosphoric acid at different temperatures, it was studied that the samples (KKKR-400 and KKK-R-500), activated at a temperature of 400-500oC, have a high specific surface area. area and iodine number. The more oxygen in the initial and final products, the higher the ratio of the specific surface area and iodine number of ACM: it was found that the specific surface area (1690 m2/g) and iodine number (1150 mg/g) of the samples obtained by activation with phosphoric acid at a temperature of 500°C were higher.