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Record W4403425123 · doi:10.1016/j.desal.2024.118198

A perspective on MXene-enhanced biofiltration-membrane water reuse treatment systems: A review and experimental validation

2024· review· en· W4403425123 on OpenAlexaff
Mostafa Dadashi Firouzjaei, Jonathan Clayton, Hesam Jafarian, Ahmad Arabi Shamsabadi, Anupma Thakur, Rilyn Todd, Srinivasa Kartik Nemani, Mohtada Sadrzadeh, Mark Ellıott, Babak Anasori, Leigh G. Terry

Bibliographic record

VenueDesalination · 2024
Typereview
Languageen
FieldMaterials Science
TopicMXene and MAX Phase Materials
Canadian institutionsUniversity of Alberta
FundersU.S. Department of AgricultureNational Science Foundation
KeywordsBiofilterReuseWater treatmentMembranePerspective (graphical)Environmental scienceWaste managementEngineeringChemistryComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

As the demand for sustainable and efficient water treatment solutions grows, the integration of advanced nanomaterials has become a focal point in enhancing membrane technologies. The purpose of this review is to provide a comprehensive and critical analysis of the current state of research on Ti 3 C 2 T x MXenes, highlighting their unique properties, the challenges they address, and the potential they hold for MXene-enhanced biofiltration-membrane systems. The perspective systematically examines how Ti 3 C 2 T x MXenes, with their exceptional electrical conductivity, hydrophilicity, and tunable surface chemistry, can be integrated into biofiltration-membrane systems to improve key performance metrics such as water flux, contaminant rejection, and fouling resistance. Various processes, including biofiltration, adsorption, and nanofiltration, are discussed, where Ti 3 C 2 T x MXenes have been shown to have a potential application. In addition to synthesizing existing literature, experimental validations are presented that demonstrate how MXene incorporation can alter membrane morphology and structure, leading to improved antibacterial properties and enhanced overall performance. These findings underscore the transformative potential of Ti 3 C 2 T x MXenes in developing next-generation biofiltration-membrane technologies that are not only more efficient but also more sustainable. Through this perspective, the key challenges that remain, such as cost implications and long-term stability, are identified, and future research directions are proposed to address these issues. This in-depth analysis highlights the critical role MXenes can play in advancing water treatment technologies, particularly in the context of water reuse, and encourages further interdisciplinary research in this rapidly evolving field. • Ti₃C₂T ₓ MXene enhances performance in biofiltration-membrane hybrid systems. • First exploration of MXene use in biofiltration-membrane hybrids for water treatment • MXene integration boosts filtration efficiency and system stability. • MXenes reduce fouling and increase durability in biofiltration-membrane hybrids.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.490
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.056
GPT teacher head0.386
Teacher spread0.329 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2024
Admission routes1
Has abstractyes

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