Non-compartmental pharmacokinetic analysis is a model-independent method that does not require assumptions about the underlying compartment model. It uses statistical moments to analyze drug concentration-time data following a single dose. Key parameters that can be estimated include clearance, mean residence time, volume of distribution, half-life, and bioavailability. The analysis involves calculating the area under the curve based on the trapezoidal rule to summarize overall drug exposure.

1. Non compartmental
Pharmacokinetics
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2. Non compartmental
Pharmacokinetics
• Non-compartmental analysis also known as model
independent methods because it does not require the
assumption of specific compartment model.
• Also called SHAM (Shape, Height, Area, Moments)
• This method is based on the assumption that the drugs or
metabolites follow linear kinetics, so this technique can be
applied to any compartment model.
• This method is based on statistical moments theory where it
involves collection of experimental data following a single
dose of drug.
• Non-compartmental analysis (NCA) is a simple and quick
method for evaluating the exposure of a drug. It allows you
to evaluate things like linearity and in vivo exposure.

3. Compartment model Vs Non
Compartment models

4. Parameters measured
• Clearance: CL=Dose/AUC
• Mean residence time: MRT=AUMC/AUC
• MRT= is defined as the average amount of time
spent by the drug in the body before being
eliminated.
• Steady state volume of distribution: Vss=MRT*CL
= Dose* AUMC/AUC2
• Half-life: Terminal slope of the natural log of the data
• F% = AUCEV/AUCIV

6. Areas of the trapezoids
•  Area under the curve,
AUC = Area of one trapezoid
=(1/2)(Cn-1 + Cn)(tn – tn-1)