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Record W4388539383 · doi:10.1093/jas/skad281.774

PSXI-12 In Vitro Assessment of Binding Agents as an Alternative to Activated Charcoal for the Prevention of Boar Taint

2023· article· en· W4388539383 on OpenAlexaff
Melissa Parent, Christine Bone, E. James Squires

Bibliographic record

VenueJournal of Animal Science · 2023
Typearticle
Languageen
FieldNursing
TopicNuts composition and effects
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAndrostenoneBoar taintBiocharActivated charcoalChemistryCharcoalEstroneSkatoleAnimal scienceChromatographyFood sciencePyrolysisBiochemistryBiologyEndocrinologyOrganic chemistryHormone

Abstract

fetched live from OpenAlex

Abstract Boar taint is an off odor and flavor that occurs once meat from uncastrated male pigs is heated, and results from the deposition of androstenone in the fat. Androstenone circulates between the liver and gut via the enterohepatic circulation, where it can be recirculated back to the liver or deposited in the fat. Previous studies from our lab have demonstrated that adding activated charcoal (AC) to feed is effective at disrupting enterohepatic circulation and preventing boar taint; however, AC is expensive and currently not approved for use as a feed additive. Spent filter aid (SFA) is a byproduct of corn syrup production, contains up to 33% diatomaceous earth (DE), and can be used as an energy source. DE and biochar have been used to bind toxins in the gastrointestinal tract and have a high surface area and porosity like that of AC. Additionally, biochar is approved and used as a feed additive in cattle production, and both biochar and SFA are available at a much lower cost. Therefore, the objective of this study was to evaluate the androstenone binding efficiency of SFA and biochar in vitro to assess their suitability as potential dietary treatments for preventing boar taint. AC, biochar and SFA were incubated for 30 minutes at 37℃ with radiolabeled androstenone, estrone sulphate (E1S), or estrone (E1) dissolved in buffer. Following incubation, the unbound radioactive steroid fraction was quantified using a scintillation counter and binding efficiency was calculated using a modified Michaelis-Menten equation. Statistical analysis was conducted with a 2-way ANOVA in SAS with Tukey-Kramer’s post hoc test. The binding efficiency (Bmax/K) of AC was greater than both biochar (P < 0.0001) and SFA (P < 0.0001). However, the maximum binding (Bmax) of androstenone by AC (97.30% ± 0.44) was 13% greater than that of biochar (84.53% ± 0.79) and nearly double that of SFA (50.50% ± 0.22). Of the binding agents tested, SFA had some selective binding for androstenone as the Bmax for androstenone was greater than both E1S (P < 0.0001) and E1 (P = 0.0013). These results suggest that biochar may be a suitable alternative to AC for use as a feed additive as it can bind high concentrations of androstenone, and its binding characteristics were most like AC. Future animal studies are needed to evaluate the effects in vivo to assess the efficacy of biochar as a dietary treatment for boar taint.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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)0.0020.001

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 head0.057
GPT teacher head0.418
Teacher spread0.360 · 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 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
Published2023
Admission routes1
Has abstractyes

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