Removal of pharmaceuticals from nitrified urine

Almuntashiri, Abdulaziz; Hosseinzadeh, Ahmad; Volpin, Federico; Ali, Syed Muztuza; Dorji, Ugyen; Shon, Ho Kyong; Phuntsho, Sherub

doi:10.1016/j.chemosphere.2021.130870

Cited by 18 publications

(15 citation statements)

References 39 publications

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“…In a nutshell, the point here is that competitive adsorption, which has been evoked in many other adsorption-related studies (Turk Sekulic et al 2019 ; Kim et al 2021 ; Shin et al 2021 ; Almuntashiri et al 2021 ), is a crucial parameter that has to be absolutely considered. A thorough consideration of competitive adsorption becomes all the more necessary when designing and engineering molecularly imprinted polymers intended for purifying real contaminated water (e.g.…”

Section: Limitations Of Molecularly Imprinted Polymersmentioning

confidence: 97%

Remediation of pharmaceuticals from contaminated water by molecularly imprinted polymers: a review

Zare‬

Fallah

et al. 2022

Environ Chem Lett

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The release of pharmaceuticals into the environment induces adverse effects on the metabolism of humans and other living species, calling for advanced remediation methods. Conventional removal methods are often non-selective and cause secondary contamination. These issues may be partly solved by the use of recently-developped adsorbents such as molecularly imprinted polymers. Here we review the synthesis and application of molecularly imprinted polymers for removing pharmaceuticals in water. Molecularly imprinted polymers are synthesized via several multiple-step polymerization methods. Molecularly imprinted polymers are potent adsorbents at the laboratory scale, yet their efficiency is limited by template leakage and polymer quality. Adsorption performance of multi-templated molecularly imprinted polymers depends on the design of wastewater treatment plants, pharmaceutical consumption patterns and the population serviced by these wastewater treatment plants.

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Section: Limitations Of Molecularly Imprinted Polymersmentioning

confidence: 97%

Remediation of pharmaceuticals from contaminated water by molecularly imprinted polymers: a review

Zare‬

Fallah

et al. 2022

Environ Chem Lett

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“…The used training backpropagation algorithm for the development of the models was Levenberg-Marquardt. Additionally, the sigmoid transfer function (tansig) and linear transfer function (purelin) were used in the hidden and output layers, consecutively [23]. In order to model, 70%, 15% and 15% of the experimental results were allocated to the training, validation and test phases, respectively.…”

Section: Artificial Neural Network Modelingmentioning

confidence: 99%

“…In order to model, 70%, 15% and 15% of the experimental results were allocated to the training, validation and test phases, respectively. In contrast to the output data, the experimental results were normalized in a range from 0.1 to 0.9 according to Equation ( 5) [23]:…”

Section: Artificial Neural Network Modelingmentioning

confidence: 99%

“…In contrast to the traditional modeling methods, the artificial neural network (ANN) is an influential and powerful modeling method and demonstrates a great performance in modeling processes that are highly complicated without fully understanding their mechanisms [23]. Various researches have been reported regarding the application of both RSM and ANN modeling procedures.…”

Section: Introductionmentioning

confidence: 99%

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Improving Formaldehyde Removal from Water and Wastewater by Fenton, Photo-Fenton and Ozonation/Fenton Processes through Optimization and Modeling

Hosseinzadeh

Najafpoor

Navaei

et al. 2021

Water

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This study aimed to assess, optimize and model the efficiencies of Fenton, photo-Fenton and ozonation/Fenton processes in formaldehyde elimination from water and wastewater using the response surface methodology (RSM) and artificial neural network (ANN). A sensitivity analysis was used to determine the importance of the independent variables. The influences of different variables, including H2O2 concentration, initial formaldehyde concentration, Fe dosage, pH, contact time, UV and ozonation, on formaldehyde removal efficiency were studied. The optimized Fenton process demonstrated 75% formaldehyde removal from water. The best performance with 80% formaldehyde removal from wastewater was achieved using the combined ozonation/Fenton process. The developed ANN model demonstrated better adequacy and goodness of fit with a R2 of 0.9454 than the RSM model with a R2 of 0. 9186. The sensitivity analysis showed pH as the most important factor (31%) affecting the Fenton process, followed by the H2O2 concentration (23%), Fe dosage (21%), contact time (14%) and formaldehyde concentration (12%). The findings demonstrated that these treatment processes and models are important tools for formaldehyde elimination from wastewater.

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“…Furthermore, AOPs can form oxidation byproducts in water and can potentially transform OMPs into other toxic species, which is the subject of ongoing research. Adsorption has been widely used for aqueous OMP removal due to ease of operation and high efficiency (up to 99%), but activated carbon (AC) adsorption of OMPs faces early breakthrough, slow kinetics, and interference from other matrix substances. Also, AC production and regeneration can be costly …”

Section: Introductionmentioning

confidence: 99%

Nanocomposite Polymeric Membranes for Organic Micropollutant Removal: A Critical Review

Chen

Lee

et al. 2022

ACS EST Eng.

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The prevalence of organic micropollutants (OMPs) and their persistence in water supplies have raised serious concerns for drinking water safety and public health. Conventional water treatment technologies, including adsorption and biological treatment, are known to be insufficient in treating OMPs and have demonstrated poor selectivity toward a wide range of OMPs. Pressure-driven membrane filtration has the potential to remove many OMPs detected in water with high selectivity as a membrane's molecular weight cutoff (MWCO), surface charge, and hydrophilicity can be easily tailored to a targeted OMP's size, charge and octanol−water partition coefficient (K ow ). Over the past 10 years, polymeric (nano)composite microfiltration (MF), ultrafiltration (UF), and nanofiltration (NF) membranes have been extensively synthesized and studied for their ability to remove OMPs. This review discusses the fate and transport of emerging OMPs in water, an assessment of conventional membrane-based technologies (NF, reverse osmosis (RO), forward osmosis (FO), membrane distillation (MD) and UF membrane-based hybrid processes) for their removal, and a comparison to the state-of-the-art nanoenabled membranes with enhanced selectivity toward specific OMPs in water. Nanoenabled membranes for OMP treatment are further discussed with respect to their permeabilities, enhanced properties, limitations, and future improvements.

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Removal of pharmaceuticals from nitrified urine

Cited by 18 publications

References 39 publications

Remediation of pharmaceuticals from contaminated water by molecularly imprinted polymers: a review

Remediation of pharmaceuticals from contaminated water by molecularly imprinted polymers: a review

Improving Formaldehyde Removal from Water and Wastewater by Fenton, Photo-Fenton and Ozonation/Fenton Processes through Optimization and Modeling

Nanocomposite Polymeric Membranes for Organic Micropollutant Removal: A Critical Review

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