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Novel Chiral HPLC Method for Accurate Identification and Quantification of R&S Enantiomers in Ropivacaine on Immobilized Chiral Stationary Phase: Development and Validation

2024· article· en· W4403220745 on OpenAlex
Althaf hussain shaik, Ramakrishna Reddy Kotanka, Kiran Kumar Ruthala, Srinivasa Rao Gandholi, Kirankumar Nalla

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCurrent Analytical Chemistry · 2024
Typearticle
Languageen
FieldChemistry
TopicAnalytical Chemistry and Chromatography
Canadian institutionsnot available
FundersHealth CanadaAbbott Laboratories
KeywordsEnantiomerChiral stationary phaseChromatographyRopivacaineChiral derivatizing agentPhase (matter)ChemistryHigh-performance liquid chromatographyChiral column chromatographyIdentification (biology)Stationary phasePharmacologyOrganic chemistryMedicineBiology

Abstract

fetched live from OpenAlex

Purpose: Ropivacaine is a widely used local anesthetic for managing postoperative pain, particularly in procedures such as caesarean sections. While historically used as a racemate, its structural similarity to mepivacaine and bupivacaine within the pipecoloxylidide group is notable. Both enantiomers of ropivacaine exhibit similar nerve-blocking properties, but the R enantiomer is associated with increased cardiotoxicity compared to the S-Ropivacaine, like bupivacaine. This study aimed to develop and validate precise and rapid chiral chromatographic techniques for quantifying potential (R&S enantiomers). Methods: We used normal phase chromatography with a (3,5-dimethylphenylcarbamate) immobilized- type polysaccharide stationary phase to quantify R&S enantiomers. The method followed ICH Q2(R1) guidelines, employing CHIRAL ART Amylose-SA for determining S-Ropivacaine enantiomeric purity in pharmaceutical drugs. The validation included accuracy and LOQ (limit of quantification) profiles, with measurement error assessments. Linear regression of accuracy profiles post square root transformations set acceptance limits at ±10%. Results: The method accurately quantified R&S enantiomers, adhering to ICH Q2(R1) guidelines. Validation showed high accuracy and precise LOQ profiles. Measurement error assessments confirmed reliability. Linear regression of accuracy profiles stayed within ±10% acceptance limits, confirming the method's suitability for determining S-Ropivacaine enantiomeric purity. Conclusion: The developed chiral chromatographic method provides an effective means of quantifying the enantiomeric purity of S-Ropivacaine in pharmaceutical drugs. Its adherence to ICH Q2(R1) guidelines ensures reliability and accuracy in measurement. This method enables precise determination of S-Ropivacaine content, which is crucial for optimizing therapeutic outcomes while minimizing the risk of cardiotoxicity associated with the R enantiomer.

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.100
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)0.0000.000

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 head0.063
GPT teacher head0.388
Teacher spread0.325 · 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