Evidence map›Paper›PMID 41776153›Full record

ReviewPharmaceutical research2026

Impurity Characterization Across Drug Development Stages: Analytical Methodologies and Regulatory Perspectives.

Subathra Ramamoorthy

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pharmaceutical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

1 author.

Subathra RamamoorthyVeranova, Devens, MA, USA. sramamoorthy.pharma@gmail.com.ORCID http://orcid.org/0009-0004-6766-6074

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rigorous identification, quantification, and control of impurities are fundamental to ensuring the safety, efficacy, and quality of pharmaceutical products throughout the drug development lifecycle. As unavoidable byproducts of complex synthesis and manufacturing processes, impurities span a diverse range of compounds-including organic, inorganic, residual solvent, and genotoxic species-all of which require meticulous characterization using a suite of analytical techniques. This review synthesizes best practices for impurity classification, source mapping, and alignment of control strategies with global regulations (ICH Q3A/B, Q3C, Q3D, and M7), distinguishing phase-appropriate profiling, stress testing, and fully validated, stability-indicating methods. Advanced structural-elucidation tools (LC-MS/MS, HRMS, NMR) are surveyed alongside key strategies for lifecycle change management. Special emphasis is placed on mutagenic impurities, especially nitrosamines, highlighting how recent industry experience and regulatory actions have reshaped risk management and analytical sensitivity requirements. The discussion extends to emerging trends-green analytical chemistry, AI-driven prediction and interpretation, and real-time monitoring via Process Analytical Technology (PAT) and Real-Time Release Testing (RTRT)-that are redefining impurity control from reactive detection to proactive prevention. Collectively, this review provides scientists, regulators, and quality professionals with actionable frameworks for robust impurity management, facilitating compliance and accelerating pharmaceutical development.

Indexed as

Drug ContaminationDrug DevelopmentHumansPharmaceutical PreparationsQuality ControlPharmaceutical Preparationsgreen analytical chemistryICH guidelinesimpurity profilingLC–MSmutagenic impuritiesnitrosaminesPAT/RTRTstability-indicating methods

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.