Data from the batch adsorption of ciprofloxacin and lamivudine from synthetic solution using jamun seed (Syzygium cumini) biochar: Response surface methodology (RSM) optimization

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dc.contributor.authorRipanda, Asha
dc.contributor.authorRwiza, Mwemezi
dc.contributor.authorNyanza, Elias
dc.contributor.authorBakari, Ramadhani
dc.contributor.authorMiraji, Hossein
dc.contributor.authorNjau, Karoli
dc.contributor.authorVuai, Said
dc.contributor.authorMachunda, Revocatus
dc.date.accessioned2023-03-01T08:13:34Z
dc.date.available2023-03-01T08:13:34Z
dc.date.issued2023-02
dc.descriptionSDG 6: Clean Water and Sanitation, SDG 12: Responsible Consumption and Production.en_US
dc.description.abstractThis dataset expresses the experimental data on the batch adsorption of ciprofloxacin and lamivudine from synthetic solution using jamun seed (JS) (Syzygium cumini) biochar. Independent variables including concentration of pollutants (10-500 ppm), contact time (30–300 min), adsorbent dosage (1-1000 mg), pH (1-14) and adsorbent calcination temperature (250,300, 600 and 750 °C) were studied and optimized using Response Surface Methodology (RSM). Empirical models were developed to predict the maximum removal efficiency of ciprofloxacin and lamivudine, and the results were compared with the experimental data. The removal of polutants was more influenced by concentration, followed by adsorbent dosagage, pH, and contact time and the maximum removal reached 90%.en_US
dc.identifier.urihttps://dspace.nm-aist.ac.tz/handle/20.500.12479/1811
dc.identifier.urihttps://doi.org/10.1016/j.dib.2023.108975
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectJamun seed (Syzygium cumini) biocharen_US
dc.subjectAntimicrobial drugen_US
dc.subjectResponse surfaceen_US
dc.subjectEnvironmental remediationen_US
dc.subjectBiomass based adsorbentsen_US
dc.titleData from the batch adsorption of ciprofloxacin and lamivudine from synthetic solution using jamun seed (Syzygium cumini) biochar: Response surface methodology (RSM) optimizationen_US
dc.typeArticleen_US

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