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Cited by 411

The DOI matches its Crossref record; 129 of the 129 references it cites were found in a registry or an index.

Membrane-based separation of potential emerging pollutants

Open access
Dharupaneedi, Suhas P., Nataraj, Sanna Kotrappanavar, Nadagouda, Mallikarjuna, Reddy, Kakarla Raghava, Shukla, Shyam S., Aminabhavi, Tejraj M.·2019·Separation and Purification Technology

Abstract

The potential emerging pollutants (PEPs) such as hazardous chemicals, toxic metals, bio-wastes, etc., pose a severe threat to human health, hygiene and ecology by way of polluting the environment and water sources. The PEPs are originated from various industrial effluent discharges including pharmaceutical, food and metal processing industries. These PEPs in contact with water may pollute the water and disturb the aquatic life. Innumerable methods have been used for the treatment of effluents and separating the toxic chemicals/metals. Of these methods, membrane-based separation processes (MBSPs) are effective over the conventional techniques for providing clean water from wastewater streams at an affordable cost with minimum energy requirement. Microfiltration (MF), ultrafiltration (UF), nanofiltration (NF), reverse osmosis (RO), and forward osmosis (FO) methods as well as hybrid technologies are discussed citing the published results of the past decade.

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Crossref · 10.1016/j.seppur.2018.09.003

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Metadata

Authors
Dharupaneedi, S. P., Nataraj, S. K., Nadagouda, M., Reddy, K. R., Shukla, S. S., & Aminabhavi, T. M.
Venue
Separation and Purification Technology
Publisher
Elsevier BV
Published
2019-02
Volume
210
Pages
850-866
ISSN
1383-5866 (ISSN-L)
OpenAlex
W2890177732
Cited by
411
References
129
FWCI
17.19
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Membrane-based separation of potential emerging pollutants. https://app.cochat.ai/papers/10.1016/j.seppur.2018.09.003
The paper
Dharupaneedi, S. P., Nataraj, S. K., Nadagouda, M., Reddy, K. R., Shukla, S. S., & Aminabhavi, T. M. (2019). Membrane-based separation of potential emerging pollutants. Separation and Purification Technology. https://doi.org/10.1016/j.seppur.2018.09.003

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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