УкраїнськийTampon curat Diferențele de eficiență de curățare între diferite materiale
1. Cotton Swabs Have the Highest Absorbency and Recovery Rate: Experiments show that cotton swabs perform best at absorbing liquids and releasing residue, with recovery rates exceeding 70%, significantly higher than materials like polyester and nylon.
2. Mechanical Decontamination Capability of Polyester/Nylon Swabs: Polyester and nylon swabs have a denser fiber structure, making them suitable for mechanical cleaning of smooth metal surfaces. Cu toate acestea, capacitatea lor de a absorbi reziduurile este relativ slabă, cu rate de recuperare de obicei în jur de 20%-30%.
3. Specific Advantages of Foam/Macro-Foam Swabs: For cleaning tasks requiring large areas and low residue, macro-foam swabs can quickly cover surfaces, but they can easily leave fiber residue when performing high-precision sampling. 4. Company Advantages: Suzhou Jujie Electron Co., Ltd. utilizes 48 fully automated weaving, cleaning, and forming production lines, enabling precise control of cotton swab fiber density and surface treatment. This ensures that each Clean Swab's water absorption and fiber-free performance meet ISO Class 5/6 ultra-clean requirements, achieving optimal cleaning efficiency across different materials.
Cum să utilizați tampoane curate pentru prelevarea de probe în timpul validării curățării (CIP)?
Puncte cheie pentru utilizarea tampoanelor curate pentru prelevarea de probe în timpul validării curățării (CIP)
1. Pre-wetting Before Sampling: Studies have shown that pre-wetting cotton swabs (especially cotton or polyester) has a recovery rate approximately three times higher than dry swabs. Se recomandă ca tampoanele de bumbac să fie umezite cu detergent neutru 0,1% înainte de prelevare în timpul validării CIP.
2. Standardized Sampling Area and Template: To avoid area estimation errors, a rectangular 25cm² template is used, maintaining slight bending pressure during each sampling. Acest lucru reduce semnificativ eroarea de eșantionare și îmbunătățește fiabilitatea testării TOC.
3. Correction for Multi-Factor Influences: Sampling error primarily stems from factors such as analyst, surface roughness, and residual concentration. It is recommended to incorporate Monte-Carlo simulation into the validation plan to estimate the error and set reasonable acceptance limits (LODs) based on experimental results.
4. Suzhou Jujie's Technical Support: The company is equipped with high-end testing equipment such as infrared spectrometers and liquid particle counters, enabling rapid on-site assessment of post-sampling residual levels. Automated production lines using laser and ultrasonic cutting ensure consistent size and material quality for each Clean Swab, improving the repeatability of CIP validation.
