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Record W2390177657

Extraction of Tartrazine from Food Colorants by PEG/Salt Aqueous Two-Phase System

2014· article· en· W2390177657 on OpenAlexaff
Jiang Bi

Bibliographic record

VenueZhongguo tiaoweipin · 2014
Typearticle
Languageen
FieldChemistry
TopicDye analysis and toxicity
Canadian institutionsScience North
Fundersnot available
KeywordsTartrazineExtraction (chemistry)PEG ratioPolyethylene glycolYield (engineering)ChemistrySalt (chemistry)ChromatographyAqueous solutionAqueous two-phase systemFood additiveMaterials scienceFood scienceOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

An aqueous two-phase system(ATPS)is presented with polyethylene glycol(PEG)and salt for the extraction of tartrazine in this paper.The extraction of tartrazine in ATPS is investigated.Concentration of(NH4)2SO4and PEG,pH value and other factors are evaluated to determine their effects on the extraction yield of tartrazine.The results show that the extraction yield strongly depends on the concentration of PEG and(NH4)2SO4.A high extraction yield around 98%is achieved with the following parameters:(NH4)2SO415%,PEG2000 18%,pH 6.It is found that the extraction yield undepends on the additional salt,but the presence of surfactant influences the extraction yield evidently.

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 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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
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)0.0020.000

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 head0.008
GPT teacher head0.257
Teacher spread0.249 · 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
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

Citations0
Published2014
Admission routes1
Has abstractyes

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