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Record W2390407085

Preparation of glycosylated nitrosyl hemoglobin and application in meat batter

2012· article· en· W2390407085 on OpenAlexaff
Ning Li

Bibliographic record

VenueFood Science and Technology International · 2012
Typearticle
Languageen
FieldMedicine
TopicNitric Oxide and Endothelin Effects
Canadian institutionsScience North
Fundersnot available
KeywordsNitriteSodium nitriteFood scienceChemistryHemoglobinCooked meatControl sampleChromatographyBiochemistryOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

Sodium nitrite is an important food additive in meat industry,but because of its potential carcinogenicity,the use of nitrite is limited.In this study,fresh blood cell was used for synthesizing glycosylated nitrosyl-hemoglobin(G-NO-Hb),and the preparation conditions were optimized.The results showed that the optimum pH for synthesizing G-NO-Hb was 7.5,amount of sodium nitrite was 2 g/L.The G-NO-Hb was applied in meat batter,the result revealed that the meat batter adding G-NO-Hb had a higher a*-value than control and adding nitrite's sample,and the residual nitrite was only 13.29 mg/kg which was significantly lower than the 24.77 mg/kg of adding nitrite's sample(P0.05).It revealed that G-NO-Hb as a potential pigment used in meat processing substitute for nitrite can not only produce the pink color but also reduce the residual nitrite in cured meat products.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.341
Threshold uncertainty score0.158

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)0.0000.000

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 head0.008
GPT teacher head0.294
Teacher spread0.286 · 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

Citations2
Published2012
Admission routes1
Has abstractyes

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