Transcript Introducing Freshmen to Drug Delivery

Introducing Freshmen to
Drug Delivery
Stephanie Farrell and Robert P. Hesketh
Chemical Engineering
Rowan University
ASEE Annual Conference, June 2000
Drug Delivery

Exciting multidisciplinary field
• Medicine, pharmaceutical
sciences, chemistry, chemical
engineering

What role do chemical
engineers play?
Introduction
This experiment was used in

Freshman Clinic
• Required of all freshmen
• 1 3-week module in each discipline
• Common thread: measurements

Graduate / Senior Elective
• Apply concepts of drug delivery
and model development
Overview


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Introduction to drug
formulations
Experiment
Measurements
Data analysis
Drug Delivery



Rate
Duration
Location, location, location
Rate and Duration of
Release

Contac 12 hr cold capsules
• membrane system

• oral osmotic
Location Location Location
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Enteric-coated aspirin
Stomach
Intestine
pH 2 HCl
pH 8 NaOH
Lozenge Formulations

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Topical
anaesthetics
Pain relief
Antifungal
agents
CNS
depressants
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Sore throat
Cancer
Aids
Depression
Parkinsonism
Experiment
Cherry Cough Drop
Menthol (7.6 mg) + red dye
Md
mass of
dissolved
drug
M0
initial mass
7.6 mg
t=0
M
mass
remaining
Measurement
Samples
Menthol Calibration
0.1
C (m g/m L)
Spectrophotometer
y = 0.2746x
0.08
0.06
0.04
0.02
0
0
0.1
0.2
0.3
0.4
Absorbance (540 nm )
Concentration
Data Analysis

Model:

M d  M 0 1  e t

• M0=7.6 mg
• Md from measurement
• Need to determine 
Does It Make Sense?

What does the model tell us?

M d  M 0 1  e t
Md(t = 0) = 0

Md(t = ) = M0
= 7.6 mg
Parameter Evaluation
Linear form
 M0  Md
ln 
 M0




  t

Plot with Excel
Use Trendline
Slope = 
0
ln{(M0-Md)/M0}

-0.5
0
5
10
15
20
25
30
35
-1
y = -0.0938x
-1.5
2
R = 0.9952
-2
-2.5
-3
time (min)
Data Representation

Use model to
calculate Md
Compare with
Experimental
Data
Release Profile
8
Md (mg)

6
4
Md (expt)
2
Md (model)
0
0
10
20
30
time (min)
40
50
Conclusion
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Introduction to drug delivery
Chemical engineering principles
Simple, visual experiment
Concentration measurement
Excel, data analysis, parameter
evaluation
Compare data with model
Feedback
“I enjoyed last night's class
immensely. It was a practical
approach to tying in many of the
concepts we've been learning,
with a twist of fun. Cool.”
– James Downing, MSE candidate