Biochip — Appunti TiTilda

Indice

Introduction

Hello reader this is a short summary of our notes about the course “Biochip”. If you find an error or you think that one point isn’t clear please tell me and I fix it (sorry for my bad english). -NP

Chapter Zero: Bases

Definition of Biosensor: A (chemical) sensor based on a biological entity.

Biosensor work with an Analyte and Receptors:

Analyte \xrightarrow{bind} Receptor \xrightarrow{change} Electronic transformation

Planar configuration: Receptor is immobilized on the sensor.

Technological issue: how to attach the molecule to a solid substrate while presenting its function (in a liquid environment) \implies chemical functionalization.

Geometrical Parameters (for simplify analysis):

Motion of fluids \to Navier-Stokes

We work with fluids + particles and simple fluids.

Chapter One: Fluids Law

Main properties of fluid:

Simple fluids:

Complex fluids:

1.1 Properties

Density: \rho = \frac{\text{Mass}}{\text{Volume}}[\frac{kg}{m^3}] \implies important to set flowing and sedimentation time of particles \to decrease with temperature (higher is the temperature lowest is the density)

Viscosity: \eta = \frac{F}{A} * \frac{y}{u} [P_a * s] but \frac{F}{A} is called shear stress \tau \to \eta = \tau * \frac{y}{u} \implies Express the resistance to deformation by \tau

Viscosity increase with the temperature (low temperature, high viscosity)

\eta (T) = \eta_0 e^{-bT}

Viscosity of blood estimates greater than water (5,5 vs 1)

Non-Newtonian fluids

Pseudo-Plastic: non-newtonian at some point the \eta decrease and it’s simplest to move (honey)

Dilatant: non-newtonian at some point the \eta increase and it’s hardest to move

1.2 Flow Regimes

Laminar Flow

Turbulent Flow

Chaotic flow with vortex

Reynolds Number: R_e = \frac{\rho * 2r * v}{\eta}

R_e < 2300 laminar flow.

R_e > 3000 turbulent flow.

We work with R_e < 1 usually

For non-circular conduits we use an approximation to work to an equivalent circular radius

r_{eq} = \frac{2*Area}{Perimeter}

\overline{v} = \frac{d}{t}

Q = \frac{V}{t} = \frac{A*d}{t} = A*\overline{v}

1.3 Velocity profiles

For pressure-driven laminar flow, the no slip condition at the conduit walls implies that v=0 \implies parabolic velocity profiles.

We have difference due the slip with the wall, so:

The velocity change with the channel changes

1.4 Resistance to Flow

The energy dissipated in the friction of the fluid against the conduit walls requires a pressure difference \Delta P to create a flow rate Q [\frac{m^3}{s}]

Poiseuille law: Q = \frac{\Delta P}{R}

R: fluidic resistance, depends on the conduit section [\frac{P_a * s}{m^3}]

The analogous of Q is I = \frac{\Delta V}{R}, will be a lot of analogy with electronic law and fluids one.

How calculate R know the characteristic of the conductor:

R = \frac{8*\eta*L}{\pi * r^4} [\frac{P_a * s}{m^3}]

Whit rectangular section (so, without approximation)

R = \frac{12* \eta * L}{C(\frac{w}{h}) * h^3 *w}

C: friction factor.

So in our case, if \frac{w}{h}>1,4 use the formula without approximation, otherwise the other one.

C(\frac{w}{h}) = (1 - 0,63 \frac{h}{w})

Mass conservation Law: like Kirchhoff

We can use the same law of the conservation of voltage in the fluids case.

1.5 Hydrodynamic Capacitance

Q = C_h \frac{d \Delta P}{dt}

C_h = \frac{\int{Q(t) dt}}{\Delta P} = \frac{Volume}{\Delta P} [\frac{m^3}{P_a}] \implies analogous with electronic capacity.

Time constant: R_h * C_h [s]

Type of walls:

1.6 Surface Tension

Force necessary to break the surface

F = 2\gamma * L + mg

\gamma: surface tension coefficient [\frac{N}{m}]

Meniscus in a capillarity

POV of the surface

Wettability: Ability of a liquid to adhere to a solid surface.

In case of water, the surface can be:

We can determine the wettability using the contact angle \theta_c

It possible uses the electricity to modify the surface wettability, liquid must contain ions.

1.7 Forces in Micro fluidic system

1.7.1 Diffusion

If we put a drop of ink in a cup of water, we can see the diffusion \implies Brownian motion \to tends to the equilibrium with a random walk.

A spatial gradient of molecule (mass) concentration C[\frac{kg}{m^3}]

Fick’s law: J = -D \frac{\partial C}{\partial x}

D: diffusion coefficient [\frac{m^2}{s}]

J: \frac{\partial m}{\partial t \partial A}

L_{diff} = \cong \sqrt{D t}

Diffusion coefficient: D = \frac{k*T}{6*\pi*\eta*r} \to spherical particles at low R_e

Diffusion time is a lot, diffusion is slow:

1fM \implies D = 1,5*10^{-6} \frac{cm^2}{s}

Peclet Number: P_e = \frac{v * L}{D}

Quantitative figure of merit of the competition between forced flow and diffusion transport.

1.7.2 Drag Force

A particle moving in a viscous fluid (viscosity \eta) with relative velocity v \to friction force (drag).

For spherical particles of radius r and R_e low: F_{drag} = -6 * \pi * \eta * r * v

Electrokinetics: Electrostatic Coulomb force on a charged particle (q) immersed in an electric field E

F_E = q* E = F_d = 6 \pi \eta r v \implies migration velocity: v = \frac{q}{6 \pi \eta r} E = \mu * E \to \mu = \frac{q}{6 \pi \eta r}

\mu: electrophoretic mobility

In constant E, the transit time depends on the mobility of the molecule. \mu \cong \frac{q}{r}, depends on the size.

In this case we don’t use water but gel \to higher viscosity.

1.7.3 Dielectrophoresis (DEP)

Neutral dielectric particles in liquids can moved by means of DEP, a net force that acts on the particle in a non-uniform electric field (gradient).

\alpha = \frac{\vec{p}}{\vec{E}} [\frac{cm^2}{V}]

Ultima modifica:
Scritto da: Niccolò Papini