MétaCan
Menu
Back to cohort
Record W2995515753 · doi:10.2166/aqua.2008.046

Effects of hydrophobe contents of amphiphilic polyelectrolytes on flocs size and removal efficiency of NOM from waters

2008· article· en· W2995515753 on OpenAlexaffabout
Raafat Alnaizy, Mohammad Sayem Mozumder, Basel F. Abu‐Sharkh, Shaikh A. Ali

Bibliographic record

VenueJournal of Water Supply Research and Technology—AQUA · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicMembrane Separation Technologies
Canadian institutionsWestern University
Fundersnot available
KeywordsIconComputer scienceLibrary scienceWorld Wide WebChemistry

Abstract

fetched live from OpenAlex

Research Article| August 01 2008 Effects of hydrophobe contents of amphiphilic polyelectrolytes on flocs size and removal efficiency of NOM from waters R. Alnaizy; R. Alnaizy 1Chemical Engineering Department, American University of Sharjah, P.O. Box 26666, Sharjah, United Arab Emirates Tel.: (971) 6-515-2710 Fax: (971) 6-515-2979; E-mail: ralnaizy@aus.edu Search for other works by this author on: This Site PubMed Google Scholar M. Sayem Mozumder; M. Sayem Mozumder 2Department of Chemical and Biochemical Engineering, The University of Western Ontario London, ON, N6A5B9, Canada Search for other works by this author on: This Site PubMed Google Scholar B. F. Abu-Sharkh; B. F. Abu-Sharkh 3Chemistry Department, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia Search for other works by this author on: This Site PubMed Google Scholar Sk. A. Ali Sk. A. Ali 3Chemistry Department, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia Search for other works by this author on: This Site PubMed Google Scholar Journal of Water Supply: Research and Technology-Aqua (2008) 57 (5): 329–336. https://doi.org/10.2166/aqua.2008.046 Article history Received: May 01 2007 Accepted: November 07 2007 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Cite Icon Cite Permissions Search Site Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThis Journal Search Advanced Search Citation R. Alnaizy, M. Sayem Mozumder, B. F. Abu-Sharkh, Sk. A. Ali; Effects of hydrophobe contents of amphiphilic polyelectrolytes on flocs size and removal efficiency of NOM from waters. Journal of Water Supply: Research and Technology-Aqua 1 August 2008; 57 (5): 329–336. doi: https://doi.org/10.2166/aqua.2008.046 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Polymer-based coagulants, such as amphiphilic polyelectrolytes, are used for water treatment in two distinct ways, as coagulant aids and as primary coagulants. In the latter role, polymers have a number of advantages over inorganic coagulants, notably the smaller volume of sludge produced and reduced sludge management costs. This study examines the impact of molecular structure of novel amphiphilic polyelectrolytes on floc size and size distribution determined by dynamic light scattering. These parameters are related to hydrophobe contents and charge of the polyelectrolyte. These characteristics are also related to the removal efficiency of natural organic matter (NOM). It is expected that a much lower amount of polymer is sufficient when amphiphilic polyelectrolytes are used as primary coagulants/flocculants in treating waters contaminated with NOM. The smaller polymer amount may result in lesser treatment costs as well as yielding a much lower sludge volume. Dynamic light scattering and UV absorbance results confirmed an optimum polymer dose of 0.3 ppm with up to 5% hydrophobe contents. The polymer hydrophobe contents were directly related to the system performance and NOM removal efficiency. The pH of the solution was virtually unaffected. amphiphilic, coagulation, flocculation, hydrophobe, NOM, polyelectrolytes This content is only available as a PDF. © IWA Publishing 2008 You do not currently have access to this content.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.897

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.251
Teacher spread0.236 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations10
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Water Supply Research and Technology—AQUASame topicMembrane Separation TechnologiesFrench-language works237,207