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Record W2806275578 · doi:10.5376/ija.2018.08.0015

Processing and Storage Effects on the Proximate Composition, Changes in Heavy Metal Contents and Total Volatile Base Nitrogen (TVB-N) of Selected Fish Species in Osun State, Nigeria

2018· article· en· W2806275578 on OpenAlexvenueno aff
Faith E. Bala, A. V. Ikujenlola, T.O. Omobuwajo

Bibliographic record

VenueInternational Journal of Aquaculture · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFish Biology and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFish <Actinopterygii>ChemistryFood scienceComposition (language)NitrogenFisheryProximateEnvironmental chemistryBiologyOrganic chemistry

Abstract

fetched live from OpenAlex

This study assessed the effect of location, processing methods and storage on the proximate composition, heavy metal contents and total volatile base nitrogen (TVB-N) of some selected fish species from Asejire and Opa reservoirs, Osun state. The fish species were processed by salting, drying, smoking, storing (25 ± 2°C) and analyzed for proximate composition, heavy metal contents and TVB-N. Protein, fat, ash and carbohydrate increased after processing but moisture content reduced. During storage the heavy metal concentrations reduced but moisture content and TVB-N increased; indicators of deterioration. The study concluded that processes such as smoking, drying and salting contributed to the keeping quality of the fishes and reduced the bio-accumulated heavy metal concentrations of the fish species.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.012
GPT teacher head0.223
Teacher spread0.211 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2018
Admission routes1
Has abstractyes

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