Dataset Information

Isotherm, kinetic, thermodynamics and reusability data on the adsorption of antidepressant onto silver nanoparticle-loaded biowaste.

ABSTRACT: There has been an increase in the use of antidepressant drugs owing to significant economic challenges across the globe. Consequently, the increase in production of such drugs has impacted pharmaceutical pollution of industrial wastewaters discharged into the environment. Hence, there is a need to develop efficient adsorbents for antidepressant wastewater treatment. The impregnation of silver nanoparticles on biowaste was found to be highly effective in the treatment of oil-polluted water but has not been utilized in the adsorption of drugs. Herein, the dataset associated with the adsorption of antidepressants onto Ananas Comosus Peel (AP) and Silver nanoparticle-loaded Ananas Comosus peel (AgAP) was reported. Batch adsorption methodology was used to study the effect of antidepressant concentration (10-50 mg/L), sonication time (10-120 min), temperature (300-320 K) and adsorbent dosage (0.10-0.18 g). The concentration of antidepressant (Nortriptyline) in solution before and after adsorption was determined by the UV-Spectrophotometer at a maximum wavelength of 239 nm. The isotherm dataset was obtained from the Langmuir, Freundlich, Temkin and Dubinin-Raduskevich models, while kinetic data was evaluated by the pseudo-first order-pseudo-second-order, film diffusion and intraparticle diffusion rate equations. The data on the thermodynamics and adsorbent reusability were also provided. The dataset showed an adsorption capacity of 3.27 mg/g and 4.74 mg/g for AP and AgAP, respectively. The dataset is important to material and environmental scientists and revealed the efficiency of AP and AgAP in the treatment of antidepressant wastewater.

SUBMITTER: Akpomie KG

PROVIDER: S-EPMC8605408 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Environment-friendly composite hydrogel beads based on carboxymethyl cellulose (CMC), alginate (Alg) and graphene oxide (GO) were synthesized by an ionotropic gelation technique and studied as an efficient adsorbent for methylene blue (MB). The chemical structure and surface morphology of the prepared hydrogel beads were characterized by Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), thermogravimetric analysis (TGA), differential thermal analysis (DTA) and point of zero charge (pHpzc). A hybrid response surface methodology integrated Box-Behnken design (RSM-BBD) was successfully developed to model, simulate, and optimize the biosorption process. The synergistic effects between three critical independent variables including adsorbent dose (0.3-0.7 g), pH of the MB solution (6.5-9.5) and initial MB concentration (15-45 mg L-1) on the MB adsorption capacity (mg g-1) and removal efficiency (%) were statistically studied and optimized. The performance of the RSM-BBD method was found to be very impressive and efficient. Results proved that the adsorption process follows a polynomial quadratic model since high regression parameters were obtained (R 2-value = 99.8% and adjusted R 2-value = 99.3%). Analysis of variance (ANOVA) further confirms the validity of the suggested model. The optimal conditions for 96.22 ± 2.96% MB removal were predicted to be 0.6 g of CMC-Alg/GO hydrogel beads, MB concentration of 15 mg L-1 and pH of 9.5 within 120 min. The adsorption equilibrium is better described by the Freundlich isotherm, indicating that physisorption is the rate controlling mechanism. The MB adsorption process was thermodynamically spontaneous and endothermic. A reusability study revealed that the prepared adsorbent is readily reusable. The adsorbent still maintains its ability to adsorb MB for up to four cycles. Results reported in this study demonstrated that CMC-Alg/GO hydrogel beads are an effective, promising and recyclable adsorbent for the removal of MB from aqueous solutions.

Dataset Information

Isotherm, kinetic, thermodynamics and reusability data on the adsorption of antidepressant onto silver nanoparticle-loaded biowaste.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets