JEB logo

Journal of Environmental Biology

pISSN: 0254-8704 ; eISSN: 2394-0379 ; CODEN: JEBIDP

About Journal
    Editor in Chief
    Editorial Board
    Reviewer Panel
    Publication Policies
    Guidelines for Editors
    Guidelines for Reviewers
    Abstracting and Indexing
    Subscription and Payments
    Contact Journal
Read Journal
    Current Issue
    Journal Archives
For Authors
    Guidelines for Authors
    Terms and Conditions
    Fees and Payments
    Track Paper Status
    JEB Awards

Google Search the Journal web-site:

    Abstract - Issue May 2021, 42 (3)                                     Back

nstantaneous and historical temperature effects on a-pinene

Boron removal from aqueous solution using coagulation- flocculation with curcumin : A response surface methodology


A.A. Halim1*, M.M. Hanafiah1,2, M. Asmi1 and Z. Daud3 

1Department of Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, 43600, Malaysia

2Centre for Tropical Climate Change System, Institute of Climate Change, Universiti Kebangsaan Malaysia, Bangi, 43600, Malaysia

3Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400, Malaysia

*Corresponding Author Email :



Received: 14.11.2020                                                                   Revised: 17.03.2021                                                         Accepted: 26.03.2021





Aim: Application of response surface methodology (RSM) to determine optimum parameters in the coagulation-flocculation process aided by curcumin for boron removal from aqueous solution was investigated.

Methodology: Different parameters such as pH, coagulant dosage, and curcumin dosage that effect boron removal were tested. Application of central composite design in RSM was used to design the coagulation-flocculation experiment.

Results: The results showed 75% of boron removal, while the optimum parameters for boron removal were observed at pH 2.8, 132.05 ppm poly aluminum chloride dose and 1161.4 ppm curcumin dose, respectively.      

Interpretation: Quadratic regression showed that the model was significant and lack of fit P value was 0.107 (p > 0.05), implying a significant model correlation between the variables and responses. The experimental data and predicted model proved that RSM is an appropriate approach for optimising the coagulation–flocculation process in removing boron from aqueous solution.      

Key words: Boron, Coagulation, Curcumin, Flocculation, Response surface methodology





Copyright © 2021 Triveni Enterprises. All rights reserved. No part of the Journal can be reproduced in any form without prior permission. Responsibility regarding the authenticity of the data, and the acceptability of the conclusions enforced or derived, rest completely with the author(s).