Team:Manchester/Model/Costing
Cost Analysis
Contents
Overview and Motivation Methodology Results ConclusionsOverview and Motivation
During our human practices discussion with the Police it was brought to our attention that not all officers carry a breathalyser device and they are rather bulky: our patch could be an alternative, compact solution that all officers could carry provided it was suitable.
This obviously introduces constraints to the device if is to be suitable for this purpose.
| Constraint Summary | Constraint | Reasoning |
|---|---|---|
| Maximum expression time | The AlcoPatch would need to equally as fast as current methods, if not faster. This would increase the likelihood of uptake as it is an improvement on the current portable methods of blood alcohol detection | Requirement suggested during the discussion |
| Minimum expression amount | Expression needs to be high enough that the result can be seen since the device it designed to be portable and used 'roadside' where lighting conditions may not be ideal | Experimental observation |
While this analysis is regarding Glucose not Alcohol it is included as a proof of concept of the system rather than to provide informative results. Since the majority of the project focused on Alcohol however these constraints were still used as all analyses should be informed and guided by the human practices.
Methodology
Time independant analysis
The model was run for a range of different enzyme ratios, maintaining a constant total amount of enzyme
MATHJAX CONCERVATION EQUATION ([Etotal] = [GOx] + [HRP] = constant)
All simulations that didn't violate the constraints were recorded
MATHJAX CONSTRAINT 1 ([Oxidised ABTS @ tmax] > [Minimum Oxidised ABTS])
The cost of the simulation was estimated assuming the cost of everything but the enzyme costs are negligible
MATHJAX COST EQUATION (CostTotal = CostGOx * [GOx] + CostHRP * [HRP])
Time dependant analysis
The model was run for a range of different enzyme ratios, maintaining a constant total amount of enzyme
MATHJAX CONCERVATION EQUATION ([Etotal] = [GOx] + [HRP] = constant)
All simulations that didn't violate the constraints were recorded
MATHJAX CONSTRAINT 1 ([Oxidised ABTS @ t] > [Minimum Oxidised ABTS])
MATHJAX CONSTRAINT 2 (t < tmax)
The cost of the simulation was estimated assuming the cost of everything but the enzyme costs are negligible
MATHJAX COST EQUATION (CostTotal = CostGOx * [GOx] + CostHRP * [HRP])
Results
PLACEHOLDER FOR GRAPHS, 2D and 3D
Conclusions
PLACEHOLDER
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