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Production of MCM-41 Nanoparticles with Control of Particle Size and Structural Properties: Optimizing Operational
Rafael R Castillo1,2,3, Lorena de la Torre4, Félix García-Ochoa4
1Department of Chemistry in Pharmaceutical Sciences, Faculty of Pharmacy, Universidad Complutense de Madrid, 28040 Madrid, Spain.
Researchers developed a scalable method for synthesizing MCM-41 mesoporous silica nanoparticles (MSNs). This robust process yields controlled size and porous nanostructures suitable for biomedical applications.
Area of Science:
- Materials Science
- Nanotechnology
- Chemical Engineering
Background:
- MCM-41 mesoporous silica nanoparticles (MSNs) are crucial for biomedical applications.
- Controlling MSN size and porosity during synthesis is challenging, especially at larger scales.
Purpose of the Study:
- To develop and validate a scalable synthesis method for MCM-41 MSNs.
- To optimize synthesis parameters for controlled particle size and pore structure.
- To ensure process robustness and reproducibility from lab to pilot scale.
Main Methods:
- Taguchi experimental design at laboratory scale (1 L) to study key parameters (TEOS addition rate, maturation time, temperature, CTAB concentration).
- One-by-one optimization of conditions for scale-up.
- Pilot plant scale (5 L) validation using a cylindrical reactor to assess stirring speed, impeller type, TEOS addition, and maturation time.
Main Results:
- Optimized synthesis conditions achieved controlled MSN size (100-200 nm) and pore structure (3 nm).
- The process was successfully scaled to pilot plant level without significant particle enlargement or pore deformation.
- Identified robust and reproducible synthesis parameters: 60 °C, TEOS/CTAB molar ratio of 8, 2 g/L CTAB, 2 mL/min TEOS addition, 400 rpm stirring, and 60 min maturation time.
Conclusions:
- A scalable and robust method for synthesizing MCM-41 MSNs with controlled properties was established.
- The developed methodology is suitable for producing MSNs for biomedical applications.
- The process demonstrated reproducibility across different scales and reactor types.
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