Evaluation of particle size distribution of sub-visible particles in powder injections with different packaging forms - small-sized sub-visible particles should not be ignored

被引:0
|
作者
Wang, Tao [1 ]
Lu, Enhao [1 ]
Dai, Qiwen [2 ]
Huang, Xueli [1 ]
Yao, Qiquan [2 ]
Sha, Xianyi [1 ]
机构
[1] Fudan Univ, Sch Pharm, Dept Pharmaceut, Key Lab Smart Drug Delivery, Shanghai, Peoples R China
[2] Alpharmaca Inc, Shanghai, Peoples R China
关键词
Powder injection; small-sized sub-visible particles; dual-chamber bag; vial; SPOS; CONTAMINATION;
D O I
10.1080/03639045.2023.2251582
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Objectives: Sub-visible particle, or particulate matter, is an important indicator in the safety assessment of clinical infusions. The present study aims to evaluate the effect of the packaging formats of antibiotic on the distribution of sub-visible particles in the small particle size range (< 10 lm), to provide evidence for explanation to clinical adverse reactions and guidelines for rational drug use. Methods: The conventional light blockage and the single particle optical sensing (SPOS) technology were applied to determine the size distribution of the sub-visible particles in the redissolved injections in different packages (dual-chamber bag and vial) from different manufacturers. In order to verify our hypothesis, the influences of active pharmaceutical ingredient (API) and solvent were controlled. Further, scanning electron microscopy (SEM) was utilized to observe the morphological characteristics of sub-visible particles from different package injections. Results: After redissolving, the small-sized sub-visible particles (< 10 lm) in the solution of injectable powder packaged in the dual-chamber bag were significantly lower than that of the conventional injectable powder packaged in the vial, and the difference remained significant after controlling for API. The results observed by SEM also supported the differences in the amount of particulate matter between the two packaging formats, showing a higher number of sub-visible particles from sodium chloride dissolved preparations packed in vails, with irregular shapes. Conclusion: In our study, the differences in the distribution of sub-visible particles were mainly attributed to the packaging formats. The dual-chamber bag injection might be an effective alternative to reduce the adverse reactions caused by sub-visible particles.
引用
收藏
页码:551 / 558
页数:8
相关论文
共 25 条
  • [21] Quantification of sub-visible particles within platform downstream unit operations of API processing using micro-flow imaging
    Costanzo, Joseph A.
    Shamlou, Parviz A.
    Weiss, William F.
    McGarvey, Bernard M.
    Langan, Sarah E.
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2014, 247
  • [22] The Strengths of Total Holographic Video Microscopy in Detecting Sub-Visible Protein Particles in Biopharmaceuticals: A Comparison to Flow Imaging and Resonant Mass Measurement
    Rahn, Harri
    Oeztuerk, Merve
    Hentze, Nikolai
    Junge, Friederike
    Hollmann, Markus
    JOURNAL OF PHARMACEUTICAL SCIENCES, 2023, 112 (04) : 985 - 990
  • [23] Discrimination Between Silicone Oil Droplets and Protein Aggregates in Biopharmaceuticals: A Novel Multiparametric Image Filter for Sub-visible Particles in Microflow Imaging Analysis
    Strehl, Rene
    Rombach-Riegraf, Verena
    Diez, Manuel
    Egodage, Kamal
    Bluemel, Markus
    Jeschke, Margit
    Koulov, Atanas V.
    PHARMACEUTICAL RESEARCH, 2012, 29 (02) : 594 - 602
  • [24] Discrimination Between Silicone Oil Droplets and Protein Aggregates in Biopharmaceuticals: A Novel Multiparametric Image Filter for Sub-visible Particles in Microflow Imaging Analysis
    René Strehl
    Verena Rombach-Riegraf
    Manuel Diez
    Kamal Egodage
    Markus Bluemel
    Margit Jeschke
    Atanas V. Koulov
    Pharmaceutical Research, 2012, 29 : 594 - 602
  • [25] Image Classification of Degraded Polysorbate, Protein and Silicone Oil Sub-Visible Particles Detected by Flow-Imaging Microscopy in Biopharmaceuticals Using a Convolutional Neural Network Model
    Fedorowicz, Filip M.
    Chalus, Pascal
    Kirschenbuhlera, Kyra
    Drewes, Sarah
    Koulov, Atanas
    JOURNAL OF PHARMACEUTICAL SCIENCES, 2023, 112 (12) : 3099 - 3108