
- •Lecture 2.3: Classical Sensors II
- •Geometry of diffusion/sensor response
- •A ‘Mendeleev table’ for biosensors
- •Outline
- •Steady state: analogy to electrostatics
- •Diffusion and capture in steady-state
- •Time-dependent capture
- •Integer dimensional sensors
- •Exact solutions in 3D
- •Summary: For integer sensors
- •Performance limit of biosensors
- •Conclusions

Principles of Electronic Nanobiosensors
Unit 2: Settling Time
Lecture 2.3: Classical Sensors II
By Muhammad A. Alam
Professor of Electrical and Computer Engineering Purdue University
alam@purdue.edu
1

Geometry of diffusion/sensor response
aM |
fM |
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pM |
nM µM |
mM M |
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(Planar) |
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2NS2 |
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D ρ02 |
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NS a0 1 |
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ρ0 |
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(SiNW) |
2

A ‘Mendeleev table’ for biosensors
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mM |
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For other geometries, we need a slightly better technique |
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based on ‘diffusion-equivalent capacitance …’ |
3 |
Outline
•Introduction
•So many sensors ... How to classify them
•Geometry of diffusion defines response time
–Approach based on ‘diffusion triangle’
–Approach based on ‘diffusion capacitance’
•Conclusion
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Alam, Principles of Nanobiosensors, 2013 |
4 |
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