Particle Loss Studies:
In aseptic pharmaceutical production, undetected airborne particle contamination from tubing systems can jeopardize sterility assurance and lead to audit failures.
EU GMP Annex 1 and ISO 14644-TR21 now require a deeper understanding and control of particle transport risks in all types of installations, including traditional legacy systems, isolators, and RABS-based filling machines.
We assess your installed tubing layout to identify the most particle-sensitive and high-risk configurations, considering all the variables that can impact the transportation.
On-site or laboratory-based testing to measure the impact of tubing configuration on the reliability of your clean room airborne particulate environmental data.
Expert analysis of findings with full documentation, helping you assess potential impact on your aseptic process, defining appropriate alert and action limits to meet regulatory expectations.
Accurate particle monitoring is the foundation of a compliant and effective contamination control strategy — yet even the most advanced systems can suffer from undetected particle loss during transport.
Our Particle Loss Measurement Service offers a data-driven, risk-based approach to identify, quantify, and mitigate particle losses in your sampling system. By simulating actual process conditions and testing various tubing lengths, materials, and layouts, we help you understand how your system performs in reality — not just in theory.
Service now available in EMEA, US, Brazil, Japan, and Taiwan.
Why is isokinetic sampling essential — and how do you ensure you’re achieving it? This application note explains the principles and offers actionable recommendations.
Environmental factors and equipment configurations can introduce variability in aerosol particle measurements. Learn how to detect, understand, and reduce it.
When sampling through tubing, particle loss is inevitable — but how much is it? This technical paper breaks it down by tubing type, length, and flow rate.
Watch this expert-led session to learn how to minimize loss and improve data reliability in real-world setups.