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Structure · dataset · 2025

Data from: Magnetic covalent organic frameworks (mcofs): A sustainable solution for emerging organic contaminants (Eocs) from the river

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The dataset presented in this study comprises the comprehensive experimental results obtained from the synthesis and characterization of MCOFs.

Description

This data forms the empirical foundation for all findings and conclusions discussed in this paper. It includes quantitative metrics such as yields, purity percentages, and final concentrations for each MCOF sample.

Additionally, it contains raw and processed data points derived from the HPLC analysis, including retention times and peak areas, which serve as direct evidence for the separation and quantification of the compounds. The purpose of this dataset is to provide a complete and transparent record of the experimental work, enabling validation and future research. Under optimal conditions (pH 7, 100 mg adsorbent dosage, and 25-minute contact time), the MCOFs exhibited exceptional adsorption performance, with removal efficiencies of 90.0 % for DMP, 86.0 % for DBP, and 92.0 % for BPA.

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The developed analytical method achieved low detection limits (LODs) of 0.0058 mg/L for DMP, 0.0079 mg/L for DBP, and 0.0063 mg/L for BPA, indicating high sensitivity for trace-level contaminant detection in real water samples. Furthermore, the adsorbent demonstrated exceptional reusability, maintaining high performance after fifteen adsorption-desorption cycles, which is a significant improvement over conventional adsorbents.

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Provenance · 1 source records, 10 field assertions
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DataCite10.5061/dryad.7h44j10777 d agoJSON v1
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