How to prepare a calibration curve

Franz diffusion cell experiment | Testing permeability of pharmaceutical formulations

Optimising suspensions | Factorial design for stable pharmaceutical suspensions

Optimising Capsules | Powder Flow and Factorial Design

Optimising Tablets | Factorial Design Case Study

3² Factorial Design | Building the Experiment Grid

Factors and Levels | Setting Up a Factorial Design

Factorial Design Explained | Optimisation for Drug Formulation

Simplex Optimisation | A Faster Alternative to Factorial Design

Validating Your Model | R², Residuals, and Common Mistakes

Contour Plots Explained | Finding the Optimum Formulation

Interaction Effects | When Factors Work Together

Regression Models | Turning Experiments into Equations

Factorial design equation explained | Understanding interaction terms

Optimising gels | Factorial design for topical gel formulations

Optimising creams | Factorial design for stable and effective creams

Data fitting explained (part 4) Exponential growth, decay and half-life

Data fitting explained (part 3) | Polynomial models, quadratic and cubic curves

Data fitting explained (part 5) | Logarithmic, power, sigmoidal, Gaussian and sinusoidal models

Data fitting explained (part 6) | Choosing the right model and evaluating fit quality

Data fitting explained (part 2) | Linear models and straight-line relationships

Data fitting explained (part 1) | What it is and why it matters