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Water hyacinth (Eichhornia crassipes) – An efficient and economic adsorbent for textile effluent treatment – A review

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Sanmuga Priya, E., Senthamil Selvan, P.·2017·Arabian Journal of Chemistry

Abstract

Phytoremediation through aquatic macrophytes treatment system (AMATS) for the removal of pollutants and contaminants from various natural sources is a well established environmental protection technique. Water hyacinth ( Eichhornia crassipes ), a worst invasive aquatic weed has been utilised for various research activities over the last few decades. The biosorption capacity of the water hyacinth in minimising various contaminants present in the industrial wastewater is well studied. The present review quotes the literatures related to the biosorption capacity of the water hyacinth in reducing the concentration of dyestuffs, heavy metals and minimising certain other physiochemical parameters like TSS (total suspended solids), TDS (total dissolved solids), COD (chemical oxygen demand) and BOD (biological oxygen demand) in textile wastewater. Sorption kinetics through various models, factors influencing the biosorption capacity, and role of physical and chemical modifications in the water hyacinth are also discussed.

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Metadata

Authors
Sanmuga Priya, E., & Senthamil Selvan, P.
Venue
Arabian Journal of Chemistry
Published
2017-05
Volume
10
Pages
S3548-S3558
ISSN
1878-5352 (ISSN-L)
OpenAlex
W1978974450
Cited by
282
References
0
FWCI
6.69
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Water hyacinth (Eichhornia crassipes) – An efficient and economic adsorbent for textile effluent treatment – A review. https://app.cochat.ai/papers/10.1016/j.arabjc.2014.03.002
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Sanmuga Priya, E., & Senthamil Selvan, P. (2017). Water hyacinth (Eichhornia crassipes) – An efficient and economic adsorbent for textile effluent treatment – A review. Arabian Journal of Chemistry. https://doi.org/10.1016/j.arabjc.2014.03.002

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.