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

© 2023 The Author(s)..

This 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%.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:47

Enthalten in:

Data in brief - 47(2023) vom: 24. Apr., Seite 108975

Sprache:

Englisch

Beteiligte Personen:

Ripanda, Asha [VerfasserIn]
Rwiza, Mwemezi J [VerfasserIn]
Nyanza, Elias Charles [VerfasserIn]
Bakari, Ramadhani [VerfasserIn]
Miraji, Hossein [VerfasserIn]
Njau, Karoli N [VerfasserIn]
Vuai, Said Ali Hamad [VerfasserIn]
Machunda, Revocatus L [VerfasserIn]

Links:

Volltext

Themen:

Adsorption
Antimicrobial drug
Biomass based adsorbents
Environmental remediation
Jamun seed (Syzygium cumini) biochar
Journal Article
Pollution
Response surface

Anmerkungen:

Date Revised 07.03.2023

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.1016/j.dib.2023.108975

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM353810916