Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
Int J Pharm. 2024 Feb 15;651:123736. doi: 10.1016/j.ijpharm.2023.123736. Epub 2023 Dec 22.
Droplets find wide application across diverse industries, where maintaining their quality is paramount. Precise control over the substance content within droplets demands non-destructive and online analysis techniques, such as Process Analytical Technology (PAT), often integrated with control strategies. In this context, the present study focuses on the example of controlling droplet quality during the dripping process of pills. Leveraging the dripping and image acquisition systems established in previous research, a novel feedback control system centered on image processing was devised for the quality control of dripping pills. The system was developed and its efficacy was assessed, yielding satisfactory outcomes. The proposed system facilitates real-time monitoring of pill weight through the analysis of droplet images during the dripping process, thereby offering real-time feedback control of pill weight. Importantly, this system holds potential for broader applications beyond the scope of this study.
液滴在众多行业中有广泛的应用，保持其质量至关重要。需要非破坏性和在线分析技术来精确控制液滴内的物质含量，例如过程分析技术 (PAT)，通常与控制策略集成。在这种情况下，本研究以控制丸剂滴注过程中液滴质量为例。利用前期研究中建立的滴注和图像采集系统，设计了一种以图像处理为中心的新型反馈控制系统，用于控制滴注丸剂的质量。开发了该系统并对其功效进行了评估，取得了令人满意的结果。该系统通过分析滴注过程中的液滴图像，实现了丸重的实时监测，从而实现了丸重的实时反馈控制。重要的是，该系统除了本研究范围之外，还有更广泛的应用潜力。
