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Characteristics and Use of Yellow Stripe Trevally Hydrolysate as Culture Media

2009· article· en· W2146795068 on OpenAlexaff
Vilailak Klompong, Soottawat Benjakul, Duangporn Kantachote, Fereidoon Shahidi

Bibliographic record

VenueJournal of Food Science · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Hydrolysis and Bioactive Peptides
Canadian institutionsMemorial University of Newfoundland
FundersThailand Research Fund
KeywordsHydrolysateFood scienceSolubilityAmino acidFish <Actinopterygii>MoistureChemistryBiologyBiochemistryHydrolysisOrganic chemistryFishery

Abstract

fetched live from OpenAlex

Characteristics and the use as culture media of protein hydrolysate from yellow stripe trevally (HF(25)) were determined in comparison with Bacto Peptone. HF(25) had the higher contents of ash (45.73%), lipid (0.77%), and moisture (4.34%) but lower protein content (42.11%) than did Bacto Peptone (P < 0.05). HF(25) powder was slightly darker than Bacto Peptone (P < 0.05). HF(25) contained a higher amount of essential amino acids (44.05%) than did Bacto Peptone (19.34%). HF(25) and Bacto Peptone consisted of several minerals at varying levels and had an excellent solubility over a wide pH range. At water activity (a(w)) greater than 0.75, the much higher moisture sorption was found in HF(25) (P < 0.05). HF(25) showed the higher bacterial productivity ratio than did Bacto Peptone (P < 0.05). When HF(25) and commercial Bacto Peptone were used as microbial media to determine microbial load of environmental and food samples and pathogenic bacteria, HF(25) generally exhibited similar potential in culturing those microorganisms (P > 0.05). Thus, the conversion of low market value species to fish protein hydrolysate, which can be used as the nitrogenous substrate for microbial growth, could be achieved.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.255

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 head0.015
GPT teacher head0.252
Teacher spread0.238 · 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

Citations41
Published2009
Admission routes1
Has abstractyes

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