Removal of pharmaceutical compounds from synthetic hydrolysed urine using granular activated carbon: Column study and predictive modelling

Almuntashiri, Abdulaziz; Hosseinzadeh, Ahmad; Badeti, Umakant; Shon, Ho Kyong; Freguia, Stefano; Dorji, Ugyen; Phuntsho, Sherub

doi:10.1016/j.jwpe.2021.102480

Cited by 12 publications

(5 citation statements)

References 51 publications

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“…The optimal pH was then used throughout the experiment. Equation was used to calculate the amount of CQP adsorbed onto BSSPs at different time intervals, and eq was used to evaluate the removal efficiency, where C o and C e are the initial and equilibrium concentrations of CQP, respectively, V is the volume of the adsorbate, q t is the quantity adsorbed at time t , and W is the mass of the BSSP adsorbent. ,, q t = ( C normalo − C t ) V W % italicRe = { C normalo − C normale C o } × 100 …”

Section: Methodsmentioning

confidence: 99%

“…The artificial neural networks (ANNs) are models made up of layers (input and output) that are linked by nodes. ANN topography is composed of layers, the number of neurons that act as processing units in each layer, and the transfer functions. ,, This segment aimed to develop an ANN model that could successfully predict the efficiency of CQP adsorption with the best fit. In this work, the ANN model was developed in (MATLAB 2016a) mathematical software using a three-layered back-propagation neural network.…”

Section: Methodsmentioning

confidence: 99%

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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

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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.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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

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“…Several previous studies have used synthetic urine to evaluate removal of pollutants that can potentially be excreted in urine, such as residues and metabolites of pharmaceutical drugs, pesticides, hormones, personal care products, chemicals used for cleaning toilets and heavy metals (Landry et al, 2015;Sun et al, 2018;Almuntashiri et al, 2022;Goulart et al, 2022;Rodriguez et al, 2022;Yao et al, 2022). Many of these are presented as proof-of-concept studies, and there are often no follow-up studies to evaluate whether the treatments can be replicated with a real urine matrix.…”

Section: Removal Of Pollutants From Urinementioning

confidence: 99%

An urgent call for using real human urine in decentralized sanitation research and advancing protocols for preparing synthetic urine

Simha,

Courtney,

Randall

2024

Front. Environ. Sci.

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Recycling resources excreted in human urine can help achieve a sustainable future and circular economy in the sanitation space. However, many studies researching different technologies for safely recycling urine do not use real human urine for experimentation, relying instead on recipes for making synthetic or artificial solutions that attempt to mimic the composition of real human urine. This methodological choice is the focus of this article, which points out that the real urine matrix is extremely complex, with a metabolome (>2,500 metabolites) that differs greatly from that of synthetic urine (<15 metabolites). Therefore, experimental results obtained using synthetic urine can also differ from those obtained using real urine. To exemplify this, we review published literature in terms of four aspects: i) solubility of chemicals and buffering capacity of urine, ii) dissolved organics and membrane fouling, iii) thermodynamic modelling of chemical speciation in urine, and iv) removal of pollutants from urine. We recognise that there is a place for synthetic urine in sanitation research and provide examples of studies where its use is appropriate. Lastly, based on literature from the medical sciences, we provide preliminary guidelines on protocols for preparing synthetic urine that could improve experimentation involving human urine and accelerate the water sector’s transition to circularity.

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“…The most commonly applied micropollutant removal technologies from wastewater are ozonation and activated carbon adsorption. Adsorption is highly efficient [31][32][33], but activated carbon is, for the most part, fossil-based [34]. Therefore, a sustainable operation can only be achieved if the spent activated carbon is regenerated.…”

Section: Introductionmentioning

confidence: 99%

Chemical Regeneration of Mixed‐Matrix Membranes for Micropollutant Removal from Wastewater

Marx,

Back,

Hoiss

et al. 2023

Chemie Ingenieur Technik

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Incomplete removal of micropollutants in wastewater treatment leads to contamination of the aquatic environment. Mixed‐matrix membranes with different shares of embedded adsorbents are considered promising for the elimination of commonly found pharmaceuticals. However, their ideal geometry and reusability after a loading cycle remain uncertain. In this study, the life cycle of loaded membranes could be extended through chemical regeneration with ethanol at different temperatures. Moreover, membrane stability and adsorbent‐to‐membrane‐area ratio could be enhanced through a seven‐bore geometry.

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Removal of pharmaceutical compounds from synthetic hydrolysed urine using granular activated carbon: Column study and predictive modelling

Cited by 12 publications

References 51 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

An urgent call for using real human urine in decentralized sanitation research and advancing protocols for preparing synthetic urine

Chemical Regeneration of Mixed‐Matrix Membranes for Micropollutant Removal from Wastewater

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