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Optical Density Value and Ratio as Novel Indexes for Nanoemulsion Sterile Filtration Process Control or
Zhi-Biao Wang1, Pu Shan1, Duo-Qian Wei1
1National Vaccine and Serum Institute, Ke Chuang 6th Street, Beijing Economic-Technological Development Area, Beijing 101111, China.
Journal of Pharmaceutical Sciences
|January 2, 2021
Summary
Optical density monitoring offers a simple, rapid method for controlling nanoemulsion sterile filtration. This technique effectively reduces filtration loss and monitors for leaks, enhancing nanoemulsion characterization.
Area of Science:
- Pharmaceutical Sciences
- Chemical Engineering
Background:
- Sterile filtration is crucial for removing microorganisms in nanoemulsion preparation.
- Current sterile filtration methods lack effective process control parameters.
- Existing nanoemulsion characterization techniques have limitations.
Purpose of the Study:
- To establish a simple and rapid approach for nanoemulsion sterile filtration process control.
- To utilize optical density (OD) detection as a process control parameter.
- To correlate OD with nanoemulsion content and monitor filtration integrity.
Main Methods:
- Continuous monitoring of optical density (OD) or OD ratio of the filtrate during sterile filtration.
- Exploration of the correlation between OD and nanoemulsion content.
- Determination of OD ratio for emulsion stability testing.
- Comparison of OD ratio sensitivity with particle size detection.
Main Results:
- A strong correlation was found between OD and nanoemulsion content, reducing sterile filtration loss.
- The OD ratio showed significant changes after sterile filtration, indicating its utility for monitoring leakage.
- OD ratio proved more sensitive and convenient than particle size detection for stability monitoring.
Conclusions:
- Optical density detection serves as an effective process control parameter for nanoemulsion sterile filtration.
- The OD ratio can be reliably used as a characterization index for nanoemulsion stability.
- This approach overcomes limitations of existing methods, improving process control and characterization.

