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eISSN: 2582-8185 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

The paradigm shifts in cleaning validation: From arbitrary limits to science-based patient safety

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  • The paradigm shifts in cleaning validation: From arbitrary limits to science-based patient safety

Birju Patel 1, *, Nageswara Pacha 2, Jayminkumar Patel 3, Ryan Le 4 and Abhishek Singh 5

1 Validation Engineering, Anika Therapeutics, Bedford, MA, USA.

2 Validation Specialist, TechData Service Company LLC, King of Prussia, PA, USA.

3 Analytical R and D, Amneal Pharmaceuticals, Piscataway, NJ, USA.

4 Validation Specialist, Independent Researcher, Rensselaer, NY, USA.

5 Validation Specialist, Armaan Biotech and IT Consultants Inc, Nazareth, PA, USA.

Review Article

World Journal of Advanced Research and Reviews, 2026, 29(01), 961-975

Article DOI: 10.30574/wjarr.2026.29.1.0089

DOI url: https://doi.org/10.30574/wjarr.2026.29.1.0089

Received on 10 December 2025; revised on 14 January 2026; accepted on 17 January 2026

Cleaning validation has undergone a significant paradigm shift over the past three decades, evolving from prescriptive, arbitrary acceptance criteria to sophisticated risk-based methodologies grounded in toxicological science. This comprehensive review traces the evolution of cleaning validation practices from their inception in the late 1980s through the current era of health-based exposure limits. The transformation has been driven by regulatory advancements, including the United States Food and Drug Administration's (FDA) early guidance documents, the International Council for Harmonisation (ICH) quality guidelines (Q9, Q10, Q12), and the European Medicines Agency's (EMA) landmark 2014 guideline on setting health-based exposure limits. This review examines the transition from traditional acceptance criteria based on fractions of therapeutic doses and analytical detection limits to scientifically justified limits derived from Acceptable Daily Exposure (ADE) and Permitted Daily Exposure (PDE) values. Risk assessment methodologies including Failure Mode and Effects Analysis (FMEA), Hazard Analysis and Critical Control Points (HACCP), and risk ranking tools are critically evaluated for their application in cleaning validation programs. The mathematical frameworks for calculating Maximum Allowable Carryover (MACO) using both traditional and health-based approaches are presented and compared. Analytical method considerations, including Total Organic Carbon (TOC) analysis, High-Performance Liquid Chromatography (HPLC), and swab recovery validation, are discussed within the context of risk-based strategies. Implementation challenges, including equipment grouping, worst-case selection, and lifecycle management, are addressed. The review concludes with an examination of emerging trends, including the integration of Quality Risk Management (QRM) principles, continuous process verification, and the application of data integrity requirements to cleaning validation documentation. This evolution represents a maturation of pharmaceutical quality systems toward science-based and patient-focused manufacturing practices. 

Cleaning validation; Risk-based approach; Health-based exposure limits; Permitted Daily Exposure; Acceptable Daily Exposure; Quality Risk Management; Pharmaceutical manufacturing; Cross-contamination

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2026-0089.pdf

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Birju Patel, Nageswara Pacha, Jayminkumar Patel, Ryan Le and Abhishek Singh. The paradigm shifts in cleaning validation: From arbitrary limits to science-based patient safety. World Journal of Advanced Research and Reviews, 2026, 29(1), 961-975. Article DOI: https://doi.org/10.30574/wjarr.2026.29.1.0089

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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