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Record W1906678904 · doi:10.1002/9781118590331.ch1

Microfiltration for casein and serum protein separation

2015· other· en· W1906678904 on OpenAlexaff
Kang Hu, James M. Dickson, Sandra E. Kentish

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEnvironmental Science
TopicMembrane Separation Technologies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMicrofiltrationCaseinUltrafiltration (renal)MembraneChromatographySkimmed milkCeramic membraneFractionationPermeationCross-flow filtrationSeparation processChemistryMaterials scienceSeparation (statistics)Chemical engineeringComputer scienceFood scienceEngineeringBiochemistry

Abstract

fetched live from OpenAlex

Microfiltration (MF) is typically operated at a relatively lower pressure and is mainly applied for larger particle separation and fractionation. In the dairy industry, cross-flow MF is mainly used to remove bacteria and spores from milk or to polish processing water. This chapter discusses the application of cross-flow MF to skim milk casein and serum protein separation using ceramic membrane systems (uniform transmembrane pressure TMP process (UTP), gradient porosity (GP) and Isoflux process), and polymeric membrane systems. The casein and serum protein separation performance can be improved generally by operating at a low permeate flux and high shear stress. To achieve this goal, one can select membranes with a specific design and/or operate the system at optimized conditions. Finally, the chapter explains an economic analysis of a ceramic membrane system and a polymeric membrane system for casein and serum protein separation in terms of capital investment and operation cost.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.014
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0050.000

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 head0.019
GPT teacher head0.277
Teacher spread0.258 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations6
Published2015
Admission routes1
Has abstractyes

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