Team:Oxford/biopolymer containment

From 2014.igem.org

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<h1blue2>Maximise rate.</h1blue2>
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<h1blue2>1. Maximise rate.</h1blue2>
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A primary function of the beads is to maximise reaction rate per bead volume; halving the radius of a sphere doubles its surface area:volume ratio. Many, small, bacteria-embedded agarose beads (to a technical limit) are therefore optimal, as the average bacterium is closer to the surface of each bead and being ‘used’ more efficiently. Substrate molecules which follow Brownian motion are more likely to collide with and be broken down by ‘outer’ bacteria. Similarly, on average, product molecules have a shorter path length to the surface and are likely to diffuse out faster:  
A primary function of the beads is to maximise reaction rate per bead volume; halving the radius of a sphere doubles its surface area:volume ratio. Many, small, bacteria-embedded agarose beads (to a technical limit) are therefore optimal, as the average bacterium is closer to the surface of each bead and being ‘used’ more efficiently. Substrate molecules which follow Brownian motion are more likely to collide with and be broken down by ‘outer’ bacteria. Similarly, on average, product molecules have a shorter path length to the surface and are likely to diffuse out faster:  
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To simplify the electrical analysis I will talk about the voltage levels at varying points throughout the circuit with two different light levels, light and dark.<br><br>
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<h1blue2>2. Protect bacteria</h1blue2>
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A. When light is incident on the photodiode, a small voltage is created across its terminals. This voltage is immediately amplified by 10 to get a larger voltage at node A. (Using the BPW21 photodiode on the fifth floor of the Thom building, Vlight=4V and Vdark=-6V.) The voltage produced at A is now a sizeable amount but it is offset from 0V, which will make further analysis harder.<br><br>
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B. Using a voltage divider resistor network, we created a fixed voltage point equal to the dark voltage offset at A. We put an OP-AMP setup as a voltage follower between this and the next part of the circuit, to isolate the network and ensure that the voltage level created wasn’t affected by any circuitry downstream. This fixed voltage (-6V) can be measured at the node labelled OFFSET. We inputted the voltages A and OFFSET into a unity gain comparator. Which created a voltage at B which follows the equation B=OFFSET-A. By having the OFFSET equal to Vdark, it will cause the voltage for one of the light levels to be 0V. (Now at node B, Vlight=-10V and Vdark=0.)<br><br>
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C. If necessary we can amplify the voltage at B again using the non-inverting amplifier which has a gain which follow the equation: Gain=1+R10/R9. With the resistor values seen in figure 5, the gain=10.  Although the maximum voltage we can produce is limited by the OP-AMP’s inability to provide voltages larger than the power rails which supply it (+/-15V). So by using the BPW21 no further amplification is available, so I removed R9 so that the gain was reduced down to Gain=1. So that at C we have Vlight=-10V and Vdark=0V.<br><br>
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D. For the final stage, we created another fixed voltage point which will control the threshold light level (-5V). Since the last OP-AMP has no feedback, the gain is effectively infinite and the output will saturate to the power rails. If the voltage at C is larger than -5V (Vdark=0), the output of the OP-AMP will saturate positively causing the voltage at node D= +15V. This will cause the green LED to illuminate, indicating that it is safe to pour down the sink as there is no light being produced, as there is no SFGFP present because there is no DCM left. When the voltage at C is lower than -5V (Vlight=-10), the output of the OP-AMP will saturate negatively causing the voltage at node D=-15V. This will cause the red LED to illuminate, indicating that it is not safe to pour down the sink as there is light being produce, as there is GFP present because there is still DCM left.
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As desired we have a binary output which simply shows the user when the DCM mixture is safe to pour down the sink.
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For this system and others of its type, it is highly valuable to maximise local substrate concentration to the bacteria within the viable range of toxicity, especially while the viable concentration range to the strain remains a limitation to the breakdown rate (directly or indirectly).
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In our case, the diffusion-limiting polymer chosen was cellulose acetate (as its synthesis from cellulose is straightforward and safe) for which we modeled diffusion data for variable polymer thickness (see below). Acetylation stoichiometry or even polymer type entirely, polymer density and methods of bead coating are among many variables that can be further researched and optimised for desirable diffusion coefficients.
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As bacteria need direct access to water, yet DCM is water-soluble only up to ~200mM, for limited water-solubility substrates, as part of future research, we propose suspending beads at the interface of a biphasic mixture of the two by exploiting differences in density. In such a system, the immediate substrate ‘reservoir’ is essentially maximised.
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For the purposes of this project we opted to construct beads less dense than water, as the aqueous DCM concentration of the biphasic system is more reliable, and we had yet to establish the robustness of the diffusion-limiting system to external fluctuations in [DCM].
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Revision as of 18:55, 28 September 2014


Biopolymer Containment


Introduction

The ‘Realisation’ sections of our project aim to bridge the gap between laboratory research and industrial application by the development of a novel biotechnology. Our project aims to synthesise bacteria-containing biopolymer capsules to maximise reaction rate, acting simultaneously as a substrate diffusion barrier, such that the rate of DCM intake is less than or equal to the rate of DCM breakdown by the strain, allowing the capsules to be in direct contact with higher [DCM] while restricting the local bacterial [DCM] to a viable concentration.

Why is this necessary?
Why is this necessary?
1. Maximise rate.

A primary function of the beads is to maximise reaction rate per bead volume; halving the radius of a sphere doubles its surface area:volume ratio. Many, small, bacteria-embedded agarose beads (to a technical limit) are therefore optimal, as the average bacterium is closer to the surface of each bead and being ‘used’ more efficiently. Substrate molecules which follow Brownian motion are more likely to collide with and be broken down by ‘outer’ bacteria. Similarly, on average, product molecules have a shorter path length to the surface and are likely to diffuse out faster:

Assuming ρ (a coefficient of bacterial density), to be independent of r (distance from bead center) and R (bead radius), avg. bacterium-surface distance =



Oxford iGEM 2014
2. Protect bacteria

For this system and others of its type, it is highly valuable to maximise local substrate concentration to the bacteria within the viable range of toxicity, especially while the viable concentration range to the strain remains a limitation to the breakdown rate (directly or indirectly).

In our case, the diffusion-limiting polymer chosen was cellulose acetate (as its synthesis from cellulose is straightforward and safe) for which we modeled diffusion data for variable polymer thickness (see below). Acetylation stoichiometry or even polymer type entirely, polymer density and methods of bead coating are among many variables that can be further researched and optimised for desirable diffusion coefficients.

As bacteria need direct access to water, yet DCM is water-soluble only up to ~200mM, for limited water-solubility substrates, as part of future research, we propose suspending beads at the interface of a biphasic mixture of the two by exploiting differences in density. In such a system, the immediate substrate ‘reservoir’ is essentially maximised.

For the purposes of this project we opted to construct beads less dense than water, as the aqueous DCM concentration of the biphasic system is more reliable, and we had yet to establish the robustness of the diffusion-limiting system to external fluctuations in [DCM].
Building the biosensor - step 1
Building the biosensor - step 1
Step 1: Designing and visualising the biosensor

The replaceable cartridge

This cartridge is where the reporting bacteria would be held. The basic design is a block of agarose containing the bacteria, surrounded by a thin film, encased in a solid plastic shell to make it more user friendly. This cartridge is therefore very cheap and simple as it would have to be replaced every time the reporting bacteria culture became unusable.

The design shown here is an initial idea that is aesthetically pleasing.



The housing for the electronics

This housing is designed to contain the replaceable cartridge. The GFP sensing circuit will be contained in the top half of the box shown here to allow the circuit (specifically the light sensing diodes and the blue LEDs (both shown in the 3D images below)) to have maximum exposure to the reporting bacteria. The design also allows the cartridge to have maximum exposure to the solution that it is sensing.

Oxford iGEM 2014
Building the biosensor - step 2
Building the biosensor - step 2
Step 2: Constructing the components in 123D Design

To construct the complicated shape of the biosensor housing, we had to 3D print two halves of the biosensor individually so that we could have hollow sections. This is because 3D printers can’t easily construct anything that isn’t fully supported. This is the one major drawback of this type of rapid prototyping. The files of this construction are shown below.



Therefore, when we 3D printed the cartridge, we couldn’t go for the fancy designs that are shown above in SolidWorks. Therefore we had to opt for a much more linear design. The files of this construction are shown below.



These files were then transferred into Meshmixer . This planned out the actual printing of the components and performed certain useful features such as strength analysis to allow us to spot any large weaknesses before printing took place.
Building the biosensor - step 3
Building the biosensor - step 3
Step 3: Finished product

Pictures of the finished biosensor are shown below. The idea is that this biosensor can then be used as a very cheap sensor that can give a basic binary answer to the question ‘is there a safe level of chlorinated solvents present?’ This safe level will ideally be the 5ppm that is the maximum safe level for drinking water in the UK.

Oxford iGEM 2014