MétaCan
Menu
Back to cohort
Record W18800907 · doi:10.1089/jmf.2007.0573

Long term trend and source apportionment of ambient VOCs in Windsor

2013· article· en· W18800907 on OpenAlexfundno aff
Zhi Li

Bibliographic record

VenueJournal of Medicinal Food · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Windsor
KeywordsApportionmentTerm (time)Environmental scienceWindsor

Abstract

fetched live from OpenAlex

Angiotensin-converting enzyme (ACE) inhibitory activity and antihypertensive activity of bovine and porcine collagen hydrolysates in spontaneously hypertensive rats (SHR) were investigated. The hydrolyzed collagens were subjected to ultrafiltration using membranes with cutoffs of 30-50 kDa (permeate P1), 5-8 kDa (permeate P2), or 1-2 kDa (permeate P3) in order to obtain products with a narrower range of molecular size. The hydrolyzed bovine and porcine collagens and their permeates showed low ACE inhibitory activity (50% inhibitory concentration [IC(50)] = 5.42-15.58 mg of protein/mL). However, after in vitro gastrointestinal digestion, a significant increase in the ACE inhibitory potency of the hydrolyzed collagens was observed (IC(50) = 0.97-4.02 mg of protein/mL). Permeates had a higher ACE inhibitory activity and hypotensive activity than non-ultrafiltered hydrolysates. The P1 permeate of bovine and porcine collagen and the P3 fraction of the porcine collagen hydrolysate exhibited the best antihypertensive activity in vivo, promoting a maximum reduction in blood pressure of 22 mm Hg, 21.33 mm Hg, and 21.33 mm Hg, respectively, while lisinopril promoted a maximum reduction of 51.00 mm Hg. These results suggest that the commercial collagen hydrolysates of bovine and porcine origin may be a potential source of bioactive peptides.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.011
GPT teacher head0.207
Teacher spread0.196 · 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 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

Citations2
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Medicinal FoodSame topicAtmospheric chemistry and aerosolsFrench-language works237,207