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Optimization of Microfluidizer-Produced PLGA Nano-Micelles for Enhanced Stability and Antioxidant Efficacy: A Quality
Esma Nur Develi Arslanhan1, Fatemeh Bahadori2,3, Zahra Eskandari3,4
1Department of Biotechnology, Institute of Health Sciences, Bezmialem Vakif University, Fatih, 34093 Istanbul, Turkey.
This study optimized poly(lactic-co-glycolic acid) nano-micelles (PLGANM) production using microfluidization, significantly improving their physical stability for drug delivery. Optimized parameters ensure scalable and reproducible manufacturing for clinical applications.
Area of Science:
- Pharmaceutical Sciences
- Materials Science
- Nanotechnology
Background:
- Poly(lactic-co-glycolic acid) nano-micelles (PLGANM) are crucial for parenteral delivery of poorly water-soluble drugs.
- Conventional methods often result in PLGANM with poor physical stability, limiting their clinical utility.
- Enhancing PLGANM stability is vital for long-term storage and successful clinical translation.
Purpose of the Study:
- To optimize the microfluidizer-based preparation of poly(lactic-co-glycolic acid) nano-micelles (PLGANM).
- To enhance the physical stability and ensure robust, scalable manufacturing of PLGANM.
- To investigate the influence of key microfluidization parameters on PLGANM attributes.
Main Methods:
- Utilized a Central Composite Design (CCD) to systematically tune microfluidization parameters.
- Analyzed the impact of PLGA amount, Tween 80 concentration, homogenization pressure, and number of passes on PLGANM size and polydispersity.
- Compared microfluidizer-produced nano-micelles (PMFZ) with those from traditional oil-in-water (POW) methods over 60 days.
Main Results:
- Optimized microfluidization parameters (82.96 mg PLGA, 6.78 mL 5% T80, 11,000 psi, 1 pass) yielded stable PLGANM.
- Microfluidization demonstrated superior control over particle size and polydispersity compared to traditional methods.
- Analyzed stability of PLGANM over a 60-day period.
Conclusions:
- Microfluidization, guided by a Quality by Design (QbD) framework, provides precise control over PLGANM attributes.
- This optimized method enables reproducible production of physically stable PLGANM.
- The findings support the clinical translation and long-term storage of PLGANM for drug delivery applications.
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