Biomed Instrum Technol. 2023;57(4):163-170. doi: 10.2345/0899-8205-57.4.163. Epub 2024 Jan 3.
Parametric release, which relies on use of process data for product release, provides many benefits. However, adoption by the sterilization industry has been slow, with release typically involving biological indicator (BI) growth responses/ dosimetry readings. The current article highlights how the data provided by the process (described through examples for ethylene oxide [EO], vaporized hydrogen peroxide [VHP], and radiation) may be better used to inform parametric release implementation. The examples involving EO and VHP demonstrated the ability of the sterilization equipment to deliver validated parameters repeatedly after the load presented was validated. For instances in which load variability has not been addressed in performance qualification, BI testing or even measurement of EO concentration cannot reliably or fully inform the impact of such variance on the validated process. "Direct" monitoring of EO concentration is a current requirement in ISO 11135:2014. Nonetheless, the findings presented here show that EO and VHP concentrations can be determined by the calculated method, rendering the use of a concentration measurement probe somewhat superfluous. In alignment with European Union good manufacturing practice Annex 17, a key requirement of parametric release is to have sufficient data to demonstrate the repeatability of the validated process. Similar to gas technologies, radiation processing strives to implement parametric release but is limited by the currently available means of measuring all critical parameters, such as photon delivery.
参数放行依赖于产品放行时使用过程数据,具有许多优势。然而,该放行方式在灭菌行业的采用速度缓慢,放行通常涉及生物指示剂(BI)的生长响应/剂量计读数。本文重点介绍了如何更好地利用过程提供的数据(通过环氧乙烷[EO]、汽化过氧化氢[VHP]和辐射的示例进行描述)来为参数放行实施提供信息。EO 和 VHP 的示例展示了在验证负载后,灭菌设备能够重复提供经过验证的参数的能力。对于性能确认中未涉及负载变化、BI 测试甚至 EO 浓度测量的情况,BI 测试甚至 EO 浓度测量无法可靠或完全告知此类变化对经过验证的过程的影响。ISO 11135:2014 目前要求“直接”监测 EO 浓度。尽管如此,这里提出的发现表明,EO 和 VHP 浓度可以通过计算方法确定,这使得使用浓度测量探头有些多余。按照欧盟良好生产规范附录 17 的要求,参数放行的一个关键要求是要有足够的数据来证明验证过程的可重复性。与气体技术类似,辐射加工也努力实现参数放行,但受到目前可用的测量所有关键参数(如光子传递)手段的限制。