Adsorptive removal of acetaminophen onto acid-modified Raphia hookeri fruit epicarp

Inyinbor, Adejumoke Abosede; Bankole, Deborah Temitope; Solomon, Pamela H.

doi:10.1007/s13399-023-03871-0

Cited by 3 publications

(8 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Adsorption rates slowed as adsorption sites became saturated. 13 , 46 The evaluation of the experimental results with ANN predictions, as shown in Figure S1 , was found to be in good agreement.…”

Section: Resultsmentioning

confidence: 56%

“…The rapid adsorption rate was ascribed to the fact that there are many existing adsorption sites on the BSSPs for CQP uptake at the beginning of adsorption. Adsorption rates slowed as adsorption sites became saturated. , The evaluation of the experimental results with ANN predictions, as shown in Figure S1, was found to be in good agreement.…”

Section: Resultsmentioning

confidence: 60%

“…In a bid to achieve a cleaner environment and sustainable community goals, a less expensive, adaptable, and effective wastewater treatment technique is required. Adsorption of various water pollutants using agricultural wastes has captivated the interest of environmental scientists. − This is because agrowastes are readily available, amenable, effective, and low-cost materials suitable as adsorbent precursors.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Blighia sapida Waste Biochar in Batch and Fixed-Bed Adsorption of Chloroquine Phosphate: Efficacy Validation Using Artificial Neural Networks

Inyinbor,

Bankole,

Oluyori

2024

ACS Omega

Self Cite

View full text Add to dashboard Cite

The present study investigated the potency of biochar prepared from Blighia sapida seedpods (BSSPs) in the uptake of chloroquine phosphate (CQP) from single-component batch and multicomponent fixed-bed adsorption systems. BSSPs presented a highly porous structure with a BET surface area of 1122.05 m 2 /g, to which adsorption efficiency correlated. The Dubinin−Radushkevich isotherm energy was obtained as 129.09 kJ/mol, confirming the chemisorption nature of the BSSP-CQP adsorption system. The efficiency of the artificial neural network (ANN) was evaluated using the lowest mean square error (MSE = 7.27) and highest correlation coefficient (R 2 = 0.9910). A good agreement between the experimental results and the ANNpredicted data indicated the efficiency of the model. The percentage removal of 95.78% obtained for the column adsorption studies indicated the effectiveness of BSSPs in a multicomponent system. The mechanism of the interaction proceeded via hydrogen bonding and electrostatic attraction. This was confirmed by the high desorption efficiency (69.11%) with a HCl eluent. The degree of reversibility was found to be 2.95, indicating the reusability potential of BSSPs. BSSPs are therefore considered multilayered adsorbents with potential applications in pharmaceutical wastewater treatment.

show abstract

Section: Resultsmentioning

confidence: 56%

Section: Resultsmentioning

confidence: 60%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Blighia sapida Waste Biochar in Batch and Fixed-Bed Adsorption of Chloroquine Phosphate: Efficacy Validation Using Artificial Neural Networks

Inyinbor,

Bankole,

Oluyori

2024

ACS Omega

Self Cite

View full text Add to dashboard Cite

show abstract

“…Adsorption is a pre-treatment phase in the water purification industry which offers features such as simplicity, minimal sludge generation, significant reuse capability, easy and handy operation (Inyinbor et al, 2023b;Obayomi et al, 2023). Commercial activated carbon, which is frequently used in adsorption operations is expensive.…”

Section: Introductionmentioning

confidence: 99%

“…Biochar is gaining acceptance due to its high carbon content, excellent adsorption ability, large specific surface area and stable structure. Biochar preparation does not only eliminate wastes but also embodies the concept of resource reuse (Bashir et al, 2022;Inyinbor et al, 2023b). Artificial Neural Networks (ANN) are useful tools for modelling complex functional relationships like adsorption processes (Ghaedi et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Adsorptive removal of synthetic food dyes using low-cost biochar: Efficiency prediction, kinetics and desorption index evaluation

Bankole,

Inyinbor,

Oluyori

et al. 2024

Bioresource Technology Reports

View full text Add to dashboard Cite

The efficiency of Raphia hookeri adsorbent in indigo carmine dye removal: Economy depth via chemometrics

Inyinbor,

Bankole,

Solomon

et al. 2024

Heliyon

Self Cite

View full text Add to dashboard Cite

Adsorptive removal of acetaminophen onto acid-modified Raphia hookeri fruit epicarp

Cited by 3 publications

References 61 publications

Blighia sapida Waste Biochar in Batch and Fixed-Bed Adsorption of Chloroquine Phosphate: Efficacy Validation Using Artificial Neural Networks

Blighia sapida Waste Biochar in Batch and Fixed-Bed Adsorption of Chloroquine Phosphate: Efficacy Validation Using Artificial Neural Networks

Adsorptive removal of synthetic food dyes using low-cost biochar: Efficiency prediction, kinetics and desorption index evaluation

The efficiency of Raphia hookeri adsorbent in indigo carmine dye removal: Economy depth via chemometrics

Contact Info

Product

Resources

About