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Design of Experiments (DoE) is a structured, statistical method used in the pharmaceutical industry to determine the relationship between multiple input variables (factors) and the resulting outputs (responses). It is a cornerstone of Quality by Design (QbD) and is widely used in product development, process optimization, and validation.


🎯 Purpose of DoE in Pharma


🧪 Applications of DoE in Pharma

  1. Formulation Development
    • Optimizing excipient levels, drug release, stability
    • E.g., selecting binder type and concentration for tablets
  2. Process Development
    • Mixing speed, granulation time, drying temperature
    • E.g., optimizing fluid bed granulation or coating processes
  3. Analytical Method Development
    • Selecting optimal detection wavelength, pH, or flow rate
  4. Scale-Up and Technology Transfer
    • Understanding variability and critical limits at larger batch sizes
  5. Cleaning Validation and Hold Time Studies

📊 Types of DoE Designs

DoE TypeUse Case
Full Factorial DesignEvaluate all possible combinations of factors
Fractional Factorial DesignReduce experiments while identifying key factors
Response Surface Methodology (RSM)Optimize levels of significant variables
Plackett-Burman DesignScreening large number of variables quickly
Central Composite Design (CCD)For curvature detection and optimization

🧮 Basic Example

Objective: Optimize tablet hardness
Factors: Compression force, granule size
Response: Hardness (kP)

A DoE can help determine which factor affects hardness more and what the ideal setting is for consistent product quality.


📑 Regulatory Support


Benefits of DoE in Pharma

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