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Record W3212052597 · doi:10.1002/jat.4264

Toxicological evaluation of <scp>Phospholipase D</scp> from <scp><i>Kitasatospora paracochleata</i></scp>

2021· article· en· W3212052597 on OpenAlexaff
K.J. Matten, Alastair Mak

Bibliographic record

VenueJournal of Applied Toxicology · 2021
Typearticle
Languageen
FieldHealth Professions
TopicOral and gingival health research
Canadian institutionsCantox Health Sciences InternationalIntertek (Canada)
Fundersnot available
KeywordsGenotoxicityPhospholipaseToxicityAdverse effectNo-observed-adverse-effect levelPharmacologyToxicologyBiologyChemistryFood scienceBiochemistryEnzyme

Abstract

fetched live from OpenAlex

Phospholipases are used extensively in the production of food ingredients, typically as processing aids, to enzymatically convert glycerophospholipids and provide functional properties in meat products or baking confections. The current study examined the safety of Phospholipase D derived from Kitasatospora paracochleata (strain No. 362-PLD) for use as a processing aid in various food applications, where it may be present in the finished products at trace levels. The safety assessment of Phospholipase D included two in vitro genotoxicity studies and a 90-day subchronic toxicity study in rats. No evidence of genotoxicity was observed in a bacterial reverse mutation test or in a chromosome aberration test. In the subchronic toxicity study, no test article-related adverse effects were observed upon Phospholipase D administration to rats at doses levels of 0, 750, 1500, and 3000 mg/kg body weight/day throughout a 90-day study period. Thus, the no-observed-adverse-effect level (NOAEL) was considered to be 3000 mg/kg body weight/day. This safety assessment supports the safe use of Phospholipase D as a processing aid in food production and the presence of trace levels in finished 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 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 score0.001
Threshold uncertainty score0.003

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 head0.138
GPT teacher head0.453
Teacher spread0.316 · 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
Published2021
Admission routes1
Has abstractyes

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