International Journal of Environmental Science and Development

Abstract—In this study, activated carbon derived from cogon grass, an abundantly available and invasive weed, was employed as an adsorbent to Eliminate Iron (II) heavy metal from simulated wastewater. The research covered a series of sequential steps, commencing with the carbonization of cogon grass followed by chemical activation using phosphoric acid. Subsequently, aqueous solutions utilizing ferrous sulfate heptahydrate were prepared, leading to batch adsorption experiments. Analysis of the filtered samples was conducted using Flame Atomic Absorption Spectroscopy. Three pivotal factors—time, pH levels, and the adsorption dosage of activated carbon—were meticulously examined in the design of experiments. A Full Factorial Design was done and it did not only prove to be more economical but also provided a richer dataset. JMP® (SAS Institute) facilitated robust data management and analysis throughout the study. Impressively, the model obtained an R2 value of 0.9968, signifying a strong fit and the model’s representativeness concerning the dataset. Achieving a remarkable 99.33% iron removal, accompanied by a desirability value of 94.97%, highlighted the efficiency of the chosen parameters. Optimal conditions for this notable outcome included a pH of 2, an adsorption dosage of 5 grams, and a 30-minute time duration. The results show that Cogon Grass Activated Carbon (CGAC) is an effective adsorbent for the removal of iron heavy metal from wastewater.

Keywords—Cogon Grass, DOE, adsorption, activated carbon, wastewater treatment

[PDF]

Cite: Tristan Roy L. Panaligan, Jesuniño R. Aquino, Dominic B. Centeno, Kissie Mae M. Pedrosa, and Jezzilyn A. Tumamao, "Adsorption of Iron (II) ions from Simulated Industrial Wastewater utilizing Activated Carbon from Cogon Grass (Imperata Cylindrica)," International Journal of Environmental Science and Development vol. 15, no. 5, pp. 288-293, 2024.

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).