Key application and case analysis of microscopic counting method in the detection of insoluble particles in glass drug packaging materials

In the pharmaceutical industry, glass bottles (including ampoules and penicillin bottles) are the main containers for parenteral drug injections, and their quality directly affects drug safety. Glass containers are not entirely inert and may be eroded by different solution media. During the production filling process, glass particles may be introduced, posing a safety hazard to patients.

These insoluble particles include glass fragments, glass flakes, and silicone particles, which may be generated by mechanical force detachment or chemical erosion. Once insoluble particles enter the human body with injections, they may cause adverse reactions such as vascular embolism, phlebitis, granulomas, etc. Therefore, it is crucial to perform insoluble particle detection on glass drug packaging materialsThis article combines the case of insoluble particle detection in glass bottles to comprehensively introduce the detection performance and application value of YH-MIP-0205Pro fully automatic microscopic counting method insoluble particle analyzer.

1 Instrument adaptability:

technical performance：The detection range covers 1 μ m-500 μ m, with a resolution of up to 0.1 μ m. Equipped with a high-precision electric control system (XYZ three-axis movement) and a 6 megapixel color high-definition camera.

Automation and EfficiencyRealize full process automation, including automatic filtering, drying, sample loading, testing, scanning, and report issuance. The testing time is usually less than 20 minutes.

Compliance and StandardsCompliant with multiple regulatory requirements such as the Chinese Pharmacopoeia (2025 edition), the United States Pharmacopeia (USP), the European Pharmacopoeia (EP), and the Japanese Pharmacopoeia (JP). The software system complies with the requirements of 21 CFR Part 11 and GMP for data integrity.

Accurate traceability and analysis：Retaining the original morphology image of each particle, combined with super-resolution algorithm and AI intelligent algorithm, can effectively distinguish particles and assist in analyzing their sources (such as fibers, silicone debris, etc.).

II Detection instance:

Original image of filter membrane

Maplist

Ten glass bottles were washed, filtered, and tested. The test results showed:

The average number of particles in the particle size range of 2 μ m ≤ X ≤ N is 17.5 per volume;

The average number of particles in the particle size range of 5 μ m ≤ X ≤ N is 5.7 per volume;

The average number of particles in the particle size range of 10 μ m ≤ X ≤ N is 2.2 per volume;

The average number of particles in the particle size range of 25 μ m ≤ X ≤ N is 1.1 per volume;

The average number of particles in the particle size range of 50 μ m ≤ X ≤ N is 0.9 per volume;

The average number of particles in the particle size range of 100 μ m ≤ X ≤ N is 0.6 per volume;

During the detection process, the equipment successfully obtained the morphological characteristics of the particles, providing a visual basis for quality improvement.

III The application value of the instrument:

Based on this testing example, the YH-MIP-0205Pro fully automatic microscopic counting method insoluble particle analyzer has demonstrated core value in the quality control of pharmaceutical packaging materials:

Integrating full lifecycle managementAccording to the guiding principles of the 2025 edition of the Chinese Pharmacopoeia 9016, foreign body control should cover the entire process from research and development to clinical use. This device can be used for evaluating the compatibility of raw materials and optimizing processes during the research and development phase; Can be used for online monitoring and deviation investigation during the production phase; Even in the transportation and storage process, the protective performance of packaging materials can be evaluated under simulated conditions.

buildParticle dataLibrary and warning mechanismBy utilizing the particle morphology and classification data generated by the device, enterprises can gradually build their ownparticledatabase By analyzing historical data trends, potential quality risk points (such as equipment wear and tear) can be identified in advance, achieving a paradigm shift in quality management from "passive detection" to "active prevention".

Yinhuang Technology's YH-MIP-0205Pro is not only a testing instrument, but also a pharmaceutical company's achievement in an increasingly strict regulatory environmentPrecise quality control, efficient pollution tracing, and proactive risk preventionA powerful tool. It provides key technical support for ensuring the safety and effectiveness of drug packaging materials and drugs by deeply integrating traditional microscopic counting methods with automation and AI technology.