98%
921
2 minutes
20
Background: Cleaning activities are critical in pharmaceutical manufacturing to prevent cross-contamination of Active Pharmaceutical Ingredients (APIs). Traditionally, cleaning validation protocols have focused on production lines. However, there is a growing trend toward extending these protocols to Quality Control (QC) laboratories, encompassing both glassware and stainless-steel equipment.
Objectives: This paper presents a systematic approach for developing cleaning validation protocols specifically designed for QC laboratory equipment, aimed at improving cleaning effectiveness and ensuring regulatory compliance.
Methods: The proposed methodology includes: (i) identifying the worst-case API; (ii) performing recovery studies to optimize sampling methods and solvent selection; and (iii) employing statistical tools such as descriptive analysis and hypothesis testing to refine the protocol in line with current industry standards.
Results: A case study involving Oxcarbazepine demonstrates the application of the proposed protocol, evaluating surface contamination across various QC instruments and assessing detergent residues to validate cleaning effectiveness.
Conclusion: The proposed strategy provides a structured, statistically grounded framework for developing cleaning validation protocols in QC laboratories, promoting effective contamination control and adherence to regulatory standards.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12229404 | PMC |
http://dx.doi.org/10.1007/s40199-025-00566-x | DOI Listing |
Water Res
August 2025
College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai, China. Electronic address:
Pipeline cleaning is essential for maintaining water quality and safeguarding public health within water distribution networks. Although ice slurry pigging is widely adopted due to its effectiveness and environmental advantages, challenges remain in accurately quantifying cleaning efficacy and optimising maintenance intervals. This study develops a stress-driven wall material removal model calibrated using field-measured turbidity data, allowing for a comprehensive assessment of cleaning effectiveness based on post-cleaning shear resistance.
View Article and Find Full Text PDFJ Fish Biol
September 2025
College of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Citrobacter freundii, a common zoonotic pathogen affecting humans, livestock and fish, is recognized for its substantial impact on largemouth bass (Micropterus salmoides) mortality. However, the mechanisms of C. freundii infection in largemouth bass remain poorly understood.
View Article and Find Full Text PDFActa Psychol (Amst)
September 2025
School of Physical Education, Shandong University, Jinan, Shandong 250061, China. Electronic address:
Introduction: This study explores how destination image shapes international tourists' satisfaction and loyalty in a heritage tourism setting, focusing on Mount Taishan as a case study. It investigates direct and indirect pathways, including mediating roles and demographic controls.
Methods: One thousand eight hundred international tourists were initially surveyed at Mount Taishan during the 2023 peak season, with 1650 valid responses retained after data cleaning.
J Food Prot
September 2025
Department of Food, Nutrition, Dietetics and Health, Kansas State University. Electronic address:
Foodborne outbreaks and recalls within the tree fruit industry are making producers re-evaluate appropriate cleaning and sanitation practices during harvesting. Without effective sanitation, bacteria can create niches and form biofilms. This study evaluated the efficacy of silver dihydrogen citrate (SDC) and chlorine dioxide (ClO) gas to control Escherichia coli and Listeria innocua on experimentally inoculated harvesting equipment at commercial apple packinghouses within the Midwest and Pacific Northwest regions.
View Article and Find Full Text PDFJ Dairy Sci
September 2025
Advance Image Processing Research Laboratory (AIPRL), Institute of Computer and Software Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan 64200, Pakistan.
Food contamination remains a serious global concern due to its health risks, with milk being one of the most commonly adulterated foods in developing countries such as Pakistan, India, and Bangladesh. Accurate detection of milk contamination is essential for ensuring consumer safety and maintaining food industry standards. This study explores both invasive and noninvasive approaches for contamination analysis.
View Article and Find Full Text PDF