Cetylpyridinium bromide assisted micellar-enhanced ultrafiltration for treating enrofloxacin-laden water

Chowdhury, Somnath; Halder, Gopinath; Mandal, Tamal; Sikder, Jaya

doi:10.1016/j.scitotenv.2019.06.074

Cited by 26 publications

(6 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several works regarding the removal of ENR using different techniques have been reported by researchers. Advance oxidation processes, such as ozonation, Fenton oxidation, electrochemical oxidation, 5 photo-degradation, 6 micellar-enhanced ultraltration, 7 and microbial remediation, 8 have been employed by researchers to eliminate ENR from wastewater. The major issues connected with these techniques are that they are either time-consuming or have the potential to produce secondary pollutants.…”

Section: Introductionmentioning

confidence: 99%

The biosorptive uptake of enrofloxacin from synthetically produced contaminated water by tamarind seed derived activated carbon

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

The biosorptive uptake of enrofloxacin from synthetically produced contaminated water by tamarind seed derived activated carbon

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…MEUF has been traditionally investigated for heavy metal ions and anions removals, but OMP removal was also reported, including PhACs, , phenols, dyes, and pesticides . Ionic surfactants can remove charged OMPs …”

Section: Conventional Membrane-based Processes For Omp Removalmentioning

confidence: 99%

“…CMCs can be lowered by adding salts or ionic/nonionic surfactants. Cationic surfactants (e.g., cetryltremethyl ammonium bromide (CTAB) and cetylpyridinium bromide (CPB)) have good commercial availabilities, large micellar sizes, and lower CMC values than anionic surfactants and are thus promising for OMP removal in MEUF. , Nonionic surfactants have low CMCs but cannot form ion-pair complexes with pollutants, which remove noncharged OMPs based on hydrophobic solubilization. Doulia and Xiarchos reported alachlor removal using nonionic surfactant-assisted MEUF.…”

Section: Conventional Membrane-based Processes For Omp Removalmentioning

confidence: 99%

Nanocomposite Polymeric Membranes for Organic Micropollutant Removal: A Critical Review

Chen

Lee

et al. 2022

ACS EST Eng.

View full text Add to dashboard Cite

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.

show abstract

“…In the literature, several data-based modelling techniques have been successfully developed to model complex catalytic reactors, namely, artificial neural network (ANN), support vector machine (SVM), and so forth. [5][6][7] Though ANN and SVM have widely been used in the last decade in almost all engineering fields, each modelling technique has its own strengths and weaknesses. ANN is considered an efficient modelling technique and is used in a wide range of scientific and engineering research areas due to its high prediction accuracy and capability of capturing non-linearity.…”

Section: Introductionmentioning

confidence: 99%

“…ANN is considered an efficient modelling technique and is used in a wide range of scientific and engineering research areas due to its high prediction accuracy and capability of capturing non-linearity. [5,8,9] ANN uses different activation functions, namely tan hyperbolic, log sigmoid, triangular basis, and so forth, consisting of weights and biases, and these activation functions are quite useful to capture nonlinearity in the system. During model building, ANN updates weights and biases so that the average training error on the given data reaches a minimum.…”

Section: Introductionmentioning

confidence: 99%

Comparative study of artificial intelligence based multi‐modelling approach and optimization of photoreactor

2023

Self Cite

View full text Add to dashboard Cite

This study presents a generic methodology for modelling and optimizing a reactor with complex and poorly understood kinetics. Here, a photoreactor is considered which performs photodegradation of sodium oxalate salt in spent Bayer liquor. Multiple data‐driven modelling methods, including artificial neural networks (ANN), genetic programming (GP), hybrid genetic programming‐grey wolf optimization (GP‐GWO), and multi‐gene genetic programming (MGGP), were used to model the reactor's performance based on experimental data. The input parameters considered for modelling were initial solution pH, power of the lamp, total organic carbon, and catalyst loading. The models were evaluated based on their predictability, explainability, complexity, and adherence to the reactor's phenomenology. The MGGP model was found to be the most effective and was used to generate surface plots showing the parity between experimental results and model predictions. Additionally, the MGGP model was optimized using GWO to determine the process conditions that maximize the reaction rate.

show abstract

Cetylpyridinium bromide assisted micellar-enhanced ultrafiltration for treating enrofloxacin-laden water

Cited by 26 publications

References 36 publications

The biosorptive uptake of enrofloxacin from synthetically produced contaminated water by tamarind seed derived activated carbon

The biosorptive uptake of enrofloxacin from synthetically produced contaminated water by tamarind seed derived activated carbon

Nanocomposite Polymeric Membranes for Organic Micropollutant Removal: A Critical Review

Comparative study of artificial intelligence based multi‐modelling approach and optimization of photoreactor

Contact Info

Product

Resources

About