Skip to content
naulon
Not checkedNot checked for notices yet.

Ammoniacal nitrogen removal by Eichhornia crassipes-based phytoremediation: process optimization using response surface methodology

W. H. T. Ting, I. A. W. Tan, S. F. Salleh and 1 more

Applied Water Science · 2020

doi:10.1007/s13201-020-1163-x (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

Eutrophication is a serious environmental issue that needs urgent concern. There is necessity to treat wastewater with high ammoniacal nitrogen (AN) concentration to the permissible standard limit to protect the aquatic ecosystem. This study investigated the optimum condition for AN removal from wastewater using Eichhornia crassipes -based phytoremediation process. Face-centered central composite design (CCD) was employed as the experimental design, in which four operational variables including pH (4–10), retention time (2–14 days), macrophyte density (5–30 g/L) and salinity (0–5 g NaCl/L) were involved in the study, while five responses were investigated, namely AN removal efficiency ( Y 1 ), fresh biomass growth ( Y 2 ), COD ( Y 3 ), BOD ( Y 4 ) and TSS ( Y 5 ). AN removal was the main focus in this study. Through numerical optimization, the highest AN removal efficiency of 77.48% (initial AN concentration = 40 mg/L) was obtained at the following optimum condition: pH 8.51, retention time of 8.47 days, macrophyte density of 21.39 g/L and salinity of 0 g NaCl/L. The values predicted from the models agreed satisfactorily with the experimental values, which implied that response surface methodology was reliable and practical for experimental design developed using optimization of the phytoremediation process. The validation experiment using real semiconductor effluent further supported the high potential of the E. crassipes -based phytoremediation system to remove AN and other organic pollutants in this industrial effluent under optimal condition.

Abstract licence: CC BY-NC-ND

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.