Evidence map›Paper›PMID 41866793›Full record

ArticleBiomedical chromatography : BMC2026

Quality by Design-Based Development of a Robust LC Method for Simultaneous Estimation of Process- and Degradation-Related Impurities in Rifapentine Drug Product for the Treatment of Active and Latent Tuberculosis.

Siva Prasad Korikana, Sreenivasa Rao Battula, Naresh Konduru, Aravind Kurnool, Divya Kumar Vemuri, Venkata Lakshamana Sagar Dantinapalli

Abstract read
In one paragraph

Article in Biomedical chromatography : BMC, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Siva Prasad KorikanaDepartment of Chemistry, GITAM School of Science, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India.
Sreenivasa Rao BattulaDepartment of Chemistry, GITAM School of Science, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India.ORCID https://orcid.org/0000-0002-0242-5032
Naresh KonduruDepartment of Chemistry, GITAM School of Science, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India.ORCID https://orcid.org/0000-0003-0815-9238
Aravind KurnoolDepartment of Chemistry, Sridevi Women's Engineering College, Science and Humanities, Hyderabad, Telangana, India.ORCID https://orcid.org/0000-0002-4828-073X
Divya Kumar VemuriDepartment of Chemistry, GITAM School of Science, GITAM Deemed to be University, Hyderabad, Telangana, India.
Venkata Lakshamana Sagar DantinapalliDepartment of Chemistry, Raffles University, Alwar, Rajasthan, India.ORCID https://orcid.org/0009-0007-3371-2791

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A precise, robust, and stability-indicating liquid chromatographic (LC) method coupled with a photodiode array (PDA) detector was developed and validated for the quantitative estimation of rifapentine, an essential therapeutic agent for both active and latent tuberculosis (TB). The chromatographic separation was achieved on a YMC Pack C18 column (250 × 4.6 mm, 5 μm) using a gradient elution with Solvent A composed of phosphate buffer (pH 6.3) and acetonitrile (90:10, v/v), and Solvent B consisting of 100% acetonitrile. The optimized parameters included a flow rate of 1.0 mL min

Indexed as

Antibiotics, AntitubercularDrug ContaminationRifampinChromatography, High Pressure LiquidChromatography, LiquidDrug StabilityLatent TuberculosisLimit of DetectionLinear ModelsReproducibility of ResultsAntibiotics, AntitubercularRifampinrifapentineanalytical QbD principlesand forced degradation studieshigh‐performance liquid chromatography techniquerifapentine‐related substancestreatment of latent tuberculosis

Identifiers

PMID41866793
PMCPMC13006746

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.