Literature DB >> 34374006

Potential of local plant leaves as natural coagulant for turbidity removal.

Azmi Ahmad1,2, Siti Rozaimah Sheikh Abdullah3, Hassimi Abu Hasan4,5, Ahmad Razi Othman4, Nur 'Izzati Ismail4.   

Abstract

The performance of local plants was tested using synthetic turbid water resembling real wastewater by measuring their ability to remove turbidity. The selected plants were A. indica, S. palustris, D. linearis, S. polyanthum, M. esculenta, P. sarmentosum, and M. malabathricum which can easily be found locally. The experiment was run based on coagulant dosages varied from 0 to 10 g/L for each plant with a rapid mixing speed at 180 rpm for 3 min, slow mixing speed at 10 rpm for 20 min, and settling time for 30 min. The results demonstrated that each plant has been capable of reducing turbidity by different amounts, with an increase in the coagulant dosage. The optimum coagulant dosages achieved for A. indica, S. palustris, S. polyanthum, and D. linearis were 10 g/L with turbidity removal at 26.9%, 24.9%, 24.9%, and 17.5%, respectively. P. sarmentosum and M. esculenta attained optimum coagulant dosages at 5 g/L with turbidity removal at 24.2% and 22.2%, and lastly M. malabathricum at 0.1 g/L (12.2%). P. sarmentosum was suggested to the best natural coagulant which achieved the highest removal of turbidity with a low dosage used.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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Keywords:  Coagulant; Dosage; Natural; Plant; Removal; Turbidity

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Year:  2021        PMID: 34374006     DOI: 10.1007/s11356-021-15541-7

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  1 in total

1.  Food By-Product Valorization by Using Plant-Based Coagulants Combined with AOPs for Agro-Industrial Wastewater Treatment.

Authors:  Rita Beltrão Martins; Nuno Jorge; Marco S Lucas; Anabela Raymundo; Ana I R N A Barros; José A Peres
Journal:  Int J Environ Res Public Health       Date:  2022-03-31       Impact factor: 3.390

  1 in total

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