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Record W2976953125 · doi:10.31531/2581-3080.1000129

A Descriptive Study of the Regulations of Leachable and Extractables of US, Europe and Canada

2018· article· en· W2976953125 on OpenAlexaboutno aff
Abhishek Chakraborty

Bibliographic record

VenueInternational Journal of Pharmaceutics & Pharmacology · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsDescriptive researchDescriptive statisticsBusinessSociologySocial scienceMathematicsStatistics

Abstract

fetched live from OpenAlex

Leachables and extractables are one of the most important reasons for drug product quality deterioration and degradation. These components tend to migrate from the interior regions of the packaging material to the drug product by causing interactions, due to absorption or adsorption of the same on the Drug Product. The USFDA, EU and Health Canada laid down specific non-exhaustive regulation and guidelines that are to be followed in mandatory to attain drug approvals from these regulated regions. The USFDA, in its recent revision of its ANDA (Abbreviated New Drug Application) checklist, has included leachables and 3xtractables as an essential parameter of rejection of the ANDA application. The same agency recommends the applicant to take up leachables and extractables study during the developmental stages, to avoid further repercussions. The EU, on the other hand, suggests the regulations on the same leachables and extractables mainly for the plastic-based packaging containers, while mentioning the testing for glass-based containers. Canada has the least of the three in content regarding the leachables and extractables however, the same country respects a proper protocol in testing, threshold setting and its inclusion in final CTD submission in line with the laid regulations of the USFDA. The complete document describes the regulations of these three regions about leachables and extractables.

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 score0.128
Threshold uncertainty score0.985

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 head0.023
GPT teacher head0.321
Teacher spread0.298 · 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

Citations5
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Pharmaceutics & PharmacologySame topicRecycling and Waste Management TechniquesFrench-language works237,207