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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Treatment of Synthetic Wastewater Containing Fe2+ Using Adsorption Method with Mulberry Leaves

Authors: Bedia ÖZTÜRK, Türkan BÖRKLÜ BUDAK;

Treatment of Synthetic Wastewater Containing Fe2+ Using Adsorption Method with Mulberry Leaves

Abstract

Besides the toxic effects of heavy metals on the environment, their harmful impact on water resources is becoming increasingly significant. Among these, Fe²⁺, due to its high levels in the body, negatively affects various organs such as the heart, liver, and pancreas. Several methods, including chemical precipitation, bioremediation, ion exchange, membrane filtration, electrochemical treatment, and adsorption, are well-documented in the literature for removing toxic substances. This study focused on removing Fe²⁺ cations from water using adsorption. For this purpose, an adsorbent made from mulberry leaves—commonly recognized in the literature for its health benefits—was utilized. During the experiment, optimal conditions for mulberry leaves were identified as: 0.3 g of adsorbent, 30 mg/L Fe²⁺ concentration, 30 °C temperature, 150 rpm agitation speed, pH 10, and 180 minutes of contact time.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average