Difference between revisions of "Team:Munich/Hardware"

 
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<!-- Head End -->
 
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<!-- Content Begin -->
 
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<img id="TopPicture" width="960" src="https://static.igem.org/mediawiki/2017/b/be/T--Munich--FrontPagePictures_Attributions.jpg">
 
 
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<td width=160></td>
 
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</tr>
<tr><td colspan=6 align=left valign=center>
+
<tr id="hardwareFrontPage">
<font size=7 color=#51a7f9><b style="color: #51a7f9">Hardware</b></font>
+
<td colspan=2>
</td>
+
<table width=320>
</tr>
+
 
 
<tr>
 
<tr>
<td colspan = 6 align="left">is
+
<td>
<p class="introduction">
+
<a href="/Team:Munich/Hardware/QuakeValve"><img class="picture1" src="https://static.igem.org/mediawiki/2017/0/08/T--Munich--Overlay.png"></a>
Our pathogen detection approach relies on Cas13a digesting RNA. A common way of monitoring RNase activities is using commercially available RNaseAlert, consisting of a fluorescent RNA beacon. This is impractical for in-field applications because commercial fluorescence detectors are expensive and inconveniently large. We therefore make our pathogen detection system fit for in-field applications by developing a cheap and handy fluorescence detector. Although many previous iGEM teams constructed fluorescence detectors, we could not find any that had a high enough sensitivity or the ability to measure fluorescence quantitatively. We therefore constructed a detector matching our requirements and compared it to others in a cost vs sensitivity diagram.
+
                </p>
+
<p class="introduction">
+
Our detector is paper-based and can detect fluorescein concentrations down to 200 nM. The detector is able to automatically
+
measure fluorescence in units of equivalent fluorescein concentrations. It fits in a pipette box and costs less
+
than 15 $. We were able to measure a time trace of Cas13a digesting RNaseAlert with our detector. For comparison
+
we also measured a positive control containing RNase A and a negative control containing only RNaseAlert. The
+
data are displayed in the figure bellow.
+
                </p>
+
<div class="captionPicture">
+
<img src="https://static.igem.org/mediawiki/2017/e/e2/T--Munich--Hardware_kinetic.png">
+
<p>
+
Time lapse measurement of Cas13a digesting RNaseAlert on paper using our detector. The
+
positive control contains RNaseA and RNaseAlert. The negative control contains only RNaseAlert. Data points are
+
connected with lines for the convenience of the eye. Error bars represent the measurement uncertainties of the detector.
+
</p>
+
</div>
+
<p class="introduction">
+
The time traces show an enzymatic reaction taking place on filter paper. This proves that our detector is sensitive
+
enough and meets our requirements. However the detector is not limited to our specific application but can be used
+
for the detection of any fluorescence signal in biological or chemical systems. We therefore think that our detector
+
can benefit other iGEM teams and research groups that want to make fluorescence based detection fit for in-field
+
applications.
+
                </p>
+
 
+
</td>
+
</tr>
+
 
+
 
+
 
+
 
+
 
+
 
+
<tr><td colspan=6 align=center valign=center>
+
<h3>Overall Design</h3>
+
<p> 
+
Light from a blue LED is filtered by a blue filter foil and excites fluorophores on a filter paper. The excitation light
+
is blocked by an orange filter foil while the emission light from the fluorophores passes through the orange filter foil
+
and illuminates a light dependent resistor (LDR). The LDR changes its resistance corresponding to the intensity
+
of the fluorescence light. Finally an Arduino Nano measures the resistance via a voltage divider and calculates the
+
fluorophore concentration. The two figures below show this overall design and the operational detector.</p>
+
 
</td>
 
</td>
</tr>
+
<td>
 
+
<tr><td colspan=6 align=center valign=center>
+
<h3>Components</h3></td></tr>
+
<tr><td colspan=6 align=center valign=center>
+
<h4>Micro Controller</h4>
+
<p> 
+
We used an Arduino Nano for automatized data collection. This micro controller has analog pins that can measure
+
voltages from 0 to 5 V and gives an integer from 0 to 1023 as output. The micro controller is connected via an USB port with a computer or smart-phone where the data can be processed further.</p>
+
 
</td>
 
</td>
 
</tr>
 
</tr>
 +
</table>
  
<tr><td colspan=6 align=center valign=center>
+
<a href="/Team:Munich/Hardware/SampleProcessing"><img id="picture3" src="https://static.igem.org/mediawiki/2017/0/08/T--Munich--Overlay.png"></a>
<h4>Light Dependent Resistor (LDR)</h4>
+
<a href="/Team:Munich/Hardware/Paperstrip"><img id="picture2" src="https://static.igem.org/mediawiki/2017/0/08/T--Munich--Overlay.png"></a>
<p id="equation1"> 
+
For the detection of fluorescence light we used a light depending resistor (LDR). A LDR decreases its resistance <i>R<sub>LDR</sub></i> with increasing light intensity <i>I</i>. The dependence of the resistance <i>R<sub>LDR</sub></i> on the light intensity <i>I</i> is</p>
+
<div class="equationDiv"><img src="https://static.igem.org/mediawiki/2017/3/33/T--Munich--Hardware_equation1.png"><span>(1)</span></div>
+
<p>
+
where γ is a parameter depending on the type of resistor being used and can even differ for LDRs with the same type
+
designation.
+
</p>
+
<p>
+
<a href="#equation1">Equation 1</a> is motivated from the equation
+
</p>
+
<div class="equationDiv"><img class="largeEquation" src="https://static.igem.org/mediawiki/2017/4/4b/T--Munich--Hardware_equation2.png"><span>(2)</span></div>
+
<p>
+
which is given in the data sheet of the LDR. The denominator is the decadic logarithm of the fraction of two light
+
intensities of 100 Lx and 10 Lx. <i>R<sub>10</sub></i> and <i>R<sub>100</sub></i> are the corresponding resistances at these light intensities. The used resistor with the type designation GL5516 NT00183 has a parameter γ of 0.8.
+
</p>
+
<p>
+
The response of a LDR depends on the wavelength λ of the incoming light. The data sheet provides information on
+
the relative response normalized to the maximal response. The relative response is maximum for a wavelength of 540
+
nm and is therefore appropriate for detection of green fluorophores.
+
</p>
+
 
</td>
 
</td>
</tr>
+
<td colspan=4>
 
+
<a href="/Team:Munich/Hardware/Detector"><img id="picture4" src="https://static.igem.org/mediawiki/2017/0/08/T--Munich--Overlay.png"></a>
<tr><td colspan=6 align=center valign=center>
+
<h4>Circuit for Resistance Measurements</h4>
+
<p> 
+
A voltage divider as shown in the figure below is the simplest way to measure resistance.
+
</p>
+
<p>
+
Applying Kirchhoff’s laws we get
+
</p>
+
<div class="equationDiv"><img class="largeEquation" src="https://static.igem.org/mediawiki/2017/b/b1/T--Munich--Hardware_equation3.png"><span>(3)</span></div>
+
<p>
+
and
+
</p>
+
<div class="equationDiv"><img src="https://static.igem.org/mediawiki/2017/9/99/T--Munich--Hardware_equation4.png"><span>(4)</span></div>
+
<p id="equation5">
+
<i>R<sub>LDR</sub></i> and <i>U<sub>LDR</sub></i> are the resistance and voltage drop at the LDR. <i>R<sub>ref</sub></i> and <i>U<sub>ref</sub></i> are the resistance and voltage drop at a reference resistor. <i>U<sub>0</sub></i> is the supply voltage which we choose to be 5V. This gives
+
</p>
+
<div class="equationDiv"><img class="largeEquation" src="https://static.igem.org/mediawiki/2017/c/c7/T--Munich--Hardware_equation5.png"><span>(5)</span></div>
+
<p>
+
an equation to calculate <i>R<sub>LDR</sub></i> from <i>U<sub>LDR</sub></i>, which can be measured with the micro controller.
+
</p>
+
<p>
+
We need to find an equation to choose an optimal resistor <i>R<sub>ref</sub></i> . We want a maximum change of <i>U<sub>LDR</sub></i> for a certain detection range of <i>R<sub>LDR</sub></i>. Therefore <a href="#equation5">equation 5</a> is solved for <i>U<sub>LDR</sub></i> giving
+
</p>
+
<div class="equationDiv"><img class="largeEquation" src="https://static.igem.org/mediawiki/2017/3/3f/T--Munich--Hardware_equation6.png"><span>(6)</span></div>
+
<p>
+
The change ∆<i>U<sub>LDR</sub></i> of <i>U<sub>LDR</sub></i> between a maximum value <i>R<sub>max</sub></i> and a minimum value <i>R<sub>min</sub></i> of <i>R<sub>LDR</sub></i> is
+
</p>
+
<div class="equationDiv"><img class="largeEquation" src="https://static.igem.org/mediawiki/2017/9/9b/T--Munich--Hardware_equation7.png"><span>(7)</span></div>
+
<p id="equation8">
+
which has a maximum for
+
</p>
+
<div class="equationDiv"><img src="https://static.igem.org/mediawiki/2017/c/c0/T--Munich--Hardware_equation8.png"><span>(8)</span></div>
+
<p>
+
We expect an <i>R<sub>max</sub></i> of approximately 2 MΩ and an <i>R<sub>min</sub></i> of approximately 1 MΩ. By using <a href="#equation8">equation 8</a> as a guideline we choose <i>R<sub>ref</sub></i> to be 1.5 MΩ.
+
</p>
+
 
</td>
 
</td>
 
</tr>
 
</tr>
  
<tr><td colspan=6 align=center valign=center>
+
<tr>
<h4>Light Emitting Diode (LED)</h4>
+
<td colspan=6>
<p> 
+
<div class="captionPicture">
To detect green fluorophores we choose a blue LED with peak emission at 470 nm. For optimum performance we
+
choose the brightest LED we could find. The used LED has a luminous intensity of 12 cd, a maximum current of 20
+
mA and a forward voltage of 3.2 V.
+
</p>
+
</td>
+
</tr>
+
 
+
<tr><td colspan=6 align=center valign=center>
+
<h4>NPN Transistor</h4>
+
<p> 
+
To provide a stable illumination, it is crucial to supply the LED with a constant voltage. We therefore control it via
+
a NPN transistor with type designation BC635. Its base-emitter-on voltage is 2 V.
+
</p>
+
</td>
+
</tr>
+
 
+
<tr><td colspan=6 align=center valign=center>
+
<h4>Control Circuit for the LED</h4>
+
<p> 
+
The digital output pin is connected to the base of the transistor via a voltage divider, consisting of the resistor <i>R<sub>1</sub></i> with a resistance of 1 kΩ and the resistor <i>R<sub>2</sub></i> with a resistance of 9.1 kΩ. When the output pin is set to 5 V a voltage of 4.5 V is present at the base of the transistor. This is above the base-emitter-on voltage and the LED is turned on.
+
The resistor <i>R<sub>3</sub></i> with resistance 39 Ω was chosen empirically to limit the LEDs working current and to power it at
+
maximum brightness. The control circuit is illustrated in the image bellow.
+
</p>
+
</td>
+
</tr>
+
 
+
<tr><td colspan=6 align=center valign=center>
+
<h4>Light Filter Foils</h4>
+
<p> 
+
For filtering the emission and excitation light we used filter foils from LEE filters. The producer provides transmission
+
spectra for every filter foil. For the excitation filter we choose the filter color "TOKYO BLUE" and for the emission
+
filter we choose the filter color "RUST". We used our UV-Vis spectrometer to measure the spectra of different combinations
+
of filter foils. As shown in the figure bellow, a combination of one orange and two blue filter foils blocks
+
nearly all light up to 700 nm. This combination is therefore ideal for blocking the excitation light of the blue LED
+
from reaching the LDR.
+
</p>
+
</td>
+
</tr>
+
 
+
<tr><td colspan=6 align=center valing=center>
+
<div class="captionPicture"><img src="https://static.igem.org/mediawiki/2017/d/d4/T--Munich--Hardware_spectra.png">
+
 
<p>
 
<p>
Transmission spectra of the chosen filter foils of our detector. The transmission spectra for the
+
Complete overview of all modular hardware parts in our pathogen detection system. Shown are counterclockwise and starting in in the upper left corner: The Quake valve that controls fluid flow, our sample processing device, the paper strip where a reaction mix is stored and the readout reaction takes place and finally our low-cost fluorescence detector "Lightbringer" that performs the readout measurement. Images are clickable and linked to the corresponding wiki subsection.  
orange filter foil(orange graph) has nearly no overlap with the transmission spectra of the blue filter foil(blue graph).
+
The transmission spectra of two blue and one filter foil(black graph) is therefore nearly 0 up to 700 nm.
+
</p>
+
</div>
+
</td>
+
</tr>
+
  
<tr><td colspan=6 align=center valign=center>
 
<h4>Filter Paper</h4>
 
<p> 
 
We choose glass fiber filter paper from Whatman Laboratory Products with type designation "934-AH" to detect
 
fluorescence on. In contrast, cellulose or nitrocellulose filter paper is auto fluorescent and causes a high background
 
signal.
 
 
</p>
 
</p>
</td>
+
</div></td>
 
</tr>
 
</tr>
  
<tr><td colspan=6 align=center valign=center>
+
<tr><td colspan=6 align=left valign=center>
<h4>3D Printed Parts</h4>
+
<font size=7 color=#51a7f9><b style="color: #51a7f9">Hardware</b></font>
<p> 
+
We intended to put the LED,the fluorescence sample and the LDR in direct proximity, to ensures a maximum use
+
of excitation light and emission light. We therefore chose a sandwich-like design for our sample holder that can be
+
placed into a slot where the detection system snaps in and keeps the sample in position.
+
</p>
+
<p>
+
In detail, two blue filter foils are stacked and glued with tape in front of two excitation windows of the upper half of
+
the sandwich. One orange filter foil is glued to the lower half of the sandwich. The two detection windows enable us
+
to measure a blank sample and an actual sample with the exact same set-up. We avoid using scotch tape to cover
+
the detection windows because tape is usually auto fluorescent and causes a high background signal. A piece of filter
+
paper is placed between the two halves of the sandwich. The upper and lower part of this sandwich are pressed
+
together with magnets to hold the filter paper in position and ensure an user-friendly exchange of filter papers. An
+
explosion drawing of the sample holder is shown in the figure below.
+
</p>
+
<p>
+
The sandwich can now be inserted into the slot of the detection device. The LED and the LDR are mounted onto
+
beams at opposite sites of the detection device. The sandwich snaps in when the LED and the LDR are at the right
+
position under the excitation and over detection window. Four magnets apply an additional force to the beams and
+
press the LED and the LDR close together. This design ensures that the distance between filter paper, LED and
+
LDR is only limited by the thickness of the filter foils. An explosion drawing of the detection slot is shown in the figure below.
+
</p>
+
 
</td>
 
</td>
 
</tr>
 
</tr>
 
<tr class="lastRow"><td colspan=6 align=center valign=center>
 
<h4>List of Materials and Cost Calculation</h4>
 
<table class="myTable" width=60%>
 
<th class="leftAligned">Used item</th>
 
<th class="rightAligned">Cost in EUR</th>
 
 
<tr>
 
<tr>
<td class="leftAligned">Geekcreit ATmega328P Arduino compatible Nano</td>
+
<td colspan = 6 align=center valign=center>
<td class="rightAligned">2.51</td>
+
<p class="introduction">
</tr>
+
<tr>
+
The liberation of diagnostic tests from expensive lab infrastructure requires innovative ways of sample processing and measuring. We therefore developed a set of portable hardware tools with the goal of providing an automated sample-to-answer solution. The heart of our system is <a class="myLink" href="https://2017.igem.org/Team:Munich/Hardware/Detector">‘Lightbringer’</a>, our fluorescence detector, which is capable of measuring kinetics of biological or chemical reactions on <a class="myLink" href= "https://2017.igem.org/Team:Munich/Hardware/Paperstrip" >paper.</a> Built from 3D–printed parts and standard electronic components, it can be assembled for less than 15$, while offering a sensitivity competitive to commercial fluorescence readers. Additionally, tackling the challenge of sample pre-processing in field, we developed a portable <a class="myLink" href="https://2017.igem.org/Team:Munich/Hardware/SampleProcessing"> fluidic system</a>, featuring a temperature control unit for lysis and isothermal PCR. Conceiving a platform independent of lab infrastructure, we demonstrate the feasibility of <a class="myLink" href="https://2017.igem.org/Team:Munich/Hardware/QuakeValve"> controlling fluid flow</a> with bike tires and air balloons. All hardware components are designed and documented with the aim of enabling the community to reproduce and extend our set of tools.
<td class="leftAligned">USB cable</td>
+
                </p>
<td class="rightAligned">1.50</td>
+
</tr>
+
<tr>
+
<td class="leftAligned">LDR</td>
+
<td class="rightAligned">0.15</td>
+
</tr>
+
<tr>
+
<td class="leftAligned">Blue LED</td>
+
<td class="rightAligned">0.10</td>
+
</tr>
+
<tr>
+
<td class="leftAligned">2 NPN Transistors</td>
+
<td class="rightAligned">0.12</td>
+
</tr>
+
<tr>
+
<td class="leftAligned">Green LED</td>
+
<td class="rightAligned">0.10</td>
+
</tr>
+
<tr>
+
<td class="leftAligned">Hole raster board</td>
+
<td class="rightAligned">0.42</td>
+
</tr>
+
<tr>
+
<td class="leftAligned">8 resistors</td>
+
<td class="rightAligned">0.48</td>
+
</tr>
+
<tr>
+
<td class="leftAligned">Filter foils</td>
+
<td class="rightAligned">0.10</td>
+
</tr>
+
<tr>
+
<td class="leftAligned">10 Magnets</td>
+
<td class="rightAligned">4.80</td>
+
</tr>
+
<tr>
+
<td class="leftAligned">ca. 100 g PLA</td>
+
<td class="rightAligned">3.00</td>
+
</tr>
+
<tr>
+
<td class="leftAligned">4 M3 screws</td>
+
<td class="rightAligned">0.04</td>
+
</tr>
+
<tr>
+
<td class="leftAligned">4 M3 nutts</td>
+
<td class="rightAligned">0.04</td>
+
</tr>
+
<tr>
+
<td class="leftAligned">Total cost</td>
+
<td class="rightAligned">13.36</td>
+
</tr>
+
</table>
+
<p> 
+
We kept an eye on using only low cost and easy available items for the construction of our detector.
+
</p>
+
</td>
+
</tr>
+
  
<tr class="lastRow"><td colspan=6 align=center valign=center>
 
<h3>Calibration</h3></td></tr>
 
<tr><td colspan=6 align=center valign=center>
 
<h4>Derivation of a Calibration Function</h4>
 
<p> 
 
We want to find an equation that relates fluorophore concentration <i>c</i> and the corresponding resistance <i>R<sub>LDR</sub></i>. The light intensity <i>I</i> at the LDR during a fluorescence measurement is a sum of signal intensity <i>I<sub>s</sub></i> and background intensity <i>I<sub>b</sub></i>:
 
</p>
 
<div class="equationDiv"><img src="https://static.igem.org/mediawiki/2017/4/4f/T--Munich--Hardware_equation9.png"><span>(9)</span></div>
 
<p>
 
We assume that <i>I<sub>b</sub></i> is the intensity for a water sample. Importantly, wet samples give a different background signal than dry ones, suspectedly due to different light scattering on the filter paper. With equation 1 this gives an equation for the resistance <i>R<sub>b</sub></i> of a water sample and for the resistance <i>R<sub>LDR</sub></i> for a fluorescence sample,
 
</p>
 
<div class="equationDiv"><img src="https://static.igem.org/mediawiki/2017/8/88/T--Munich--Hardware_equation10.png"><span>(10)</span></div>
 
<div class="equationDiv"><img src="https://static.igem.org/mediawiki/2017/3/3f/T--Munich--Hardware_equation11.png"><span>(11)</span></div>
 
<p id="equation12">
 
Then, the normalized resistance can be expressed as
 
</p>
 
<div class="equationDiv"><img class="largeEquation" src="https://static.igem.org/mediawiki/2017/c/cc/T--Munich--Hardware_equation12.png"><span>(12)</span></div>
 
<p>
 
We assume that the intensity <i>I<sub>s</sub></i> of fluorescence light depends linearly on the concentration c of fluorophores and the
 
light intensity <i>I<sub>0</sub></i> produced by the LED,
 
</p>
 
<div class="equationDiv"><img src="https://static.igem.org/mediawiki/2017/7/7e/T--Munich--Hardware_equation13.png"><span>(13)</span></div>
 
<p>
 
and that the background intensity <i>I<sub>b</sub></i> depends also linearly on <i>I<sub>0</sub></i>,
 
</p>
 
<div class="equationDiv"><img src="https://static.igem.org/mediawiki/2017/c/c7/T--Munich--Hardware_equation14.png"><span>(14)</span></div>
 
<p id="equation15">
 
Therefore
 
</p>
 
<div class="equationDiv"><img class="largeEquation" src="https://static.igem.org/mediawiki/2017/7/7b/T--Munich--Hardware_equation15.png"><span>(15)</span></div>
 
<p>
 
where <i>k</i> is a constant that depends on the transmission spectra of the filter foils, the spectra of the fluorophore, the
 
spectra of the LED and light scattering effects of the filter paper,but not on <i>I<sub>0</sub></i>. <i>k</i> can be assumed to be constant for one specific measurement set-up.
 
</p>
 
<p id="equation16">
 
<a href="#equation15">Equation 15</a> inserted into <a href="#equation12">equation 12</a> gives the final equation relating <i>c</i> to <i>R<sub>LDR</sub></i>
 
</p>
 
<div class="equationDiv"><img class="largeEquation" src="https://static.igem.org/mediawiki/2017/f/f7/T--Munich--Hardware_equation16.png"><span>(16)</span></div>
 
</td>
 
</tr>
 
 
 
 
<tr><td colspan=6 align=center valign=center>
 
<h4>Determination of the Calibration Parameter</h4>
 
<p> 
 
 
<p> 
 
We want to find a value for k from <a href="#equation16">equation 16</a>.
 
</p>
 
<p>
 
We therefore prepared 10-fold dilutions from 100 nM to 1 mM. For each measurement we pipetted 30 µl of sample on
 
a fresh filter paper, placed it in the detector and turned on the LED. We measured the resistance <i>R<sub>LDR</sub></i> directly with a multimeter. After each measurement the detector was cleaned gently with ethanol. The first and last measurement
 
of each series was conducted with plain water to determine <i>R<sub>b</sub></i> and to confirm the absence of contaminations. A plot of the normalized resistances is shown in the figure bellow. We fitted the data with <a id="equation16">equation 16</a> to determine a value for <i>k</i> using a value of 0.8 for γ gives
 
</p>
 
<div class="equationDiv"><img class="largeEquation" src="https://static.igem.org/mediawiki/2017/d/d4/T--Munich--Hardware_equation17.png"><span>(17)</span></div>
 
 
<div class="captionPicture">
 
<div class="captionPicture">
<img src="https://static.igem.org/mediawiki/2017/5/57/T--Munich--Hardware_calibrier.png">
+
<img width=960 src="https://static.igem.org/mediawiki/2017/2/26/Schema_final_lowres.png">
 
<p>
 
<p>
Normalized resistances <i>R<sub>LDR</sub></i>/<i>R<sub>b</sub></i> vs fluorescein concentration
 
<i>c</i> and corresponding fit function.
 
 
</p>
 
</p>
 
</div>
 
</div>
<p>
 
To determine that <i>k</i> does not depend on the intensity <i>I<sub>0</sub></i> we made two measurement series. We changed the resistance <i>R<sub>3</sub></i> in series to the LED to dim the light Intensity <i>I<sub>0</sub></i>. We used a 39 Ω resistor and a 60 Ω resistor. For the set-up with the 39 Ω resistor we additionally measured a 200 nM sample because this is the expected final working condition of the detector.
 
</p>
 
</td>
 
</tr>
 
  
 
 
<tr class="lastRow"><td colspan=6 align=center valign=center>
 
<h3>Automatized Data Collecting and Processing</h3>
 
<p>
 
We want to verify if a reaction with a fluorescence product is taking place on a filter paper. Therefore we need to
 
measure the resistance <i>R<sub>LDR</sub></i> over a certain time certain period. We choose to measure a data point
 
every 5 min over a time period of 1.5 h to take trace of the reaction kinetics. Before such a measurement series a blank
 
measurement with plain water is performed to determine the resistance <i>R<sub>b</sub></i>.
 
</p>
 
<p>
 
As a first step the exact value of the supply voltage <i>U<sub>0</sub></i> needs to be measured. The supply voltage is connected via an additional voltage divider with an analog pin. The voltage divider consists of a 100 Ω resistor and a 910 kΩ resistor. The analog pin measures still a correct value for the supply voltage <i>U<sub>0</sub></i> because the first resistor is negligible small
 
compared to the second resistor. We did not connect the analog pin directly with the power supply to prevent the
 
micro controller from damage in case of a short circuit or a peak voltage caused by an other component of the overall
 
device. The micro controller measures the supply voltage 50 times with a delay time of 50 ms between measurements.
 
It calculates the average of <i>U<sub>0</sub></i> and the relative empirical standard deviation <i>σ<sub>U0</sub></i>
 
, which is used as measurement
 
uncertainty for further calculations.
 
</p>
 
<p>
 
To initiate a resistance measurement of the LDR the LED needs to be turned on by setting a digital output pin to 5
 
V. An additional green LED on the device is turned on as well to indicate that a measurement is taking place. After
 
a waiting time of 30 s the actual measurement starts. This waiting time was determined empirically and is required
 
because of the slow response of the LDR. <i>U<sub>LDR</sub></i> is measured in the same way as <i>U<sub>0</sub></i>. The average of <i>U<sub>LDR</sub></i> and the
 
relative empirical standard deviation <i>σ<sub>ULDR</sub></i> are calculated. Equation 5 is used to calculate <i>R<sub>LDR</sub></i> from the average
 
of <i>U<sub>LDR</sub></i>. We derived an equation for the propagation of the relative systematic and the relative statistical uncertainty
 
of <i>U<sub>0</sub></i> and <i>U<sub>LDR</sub></i>. For the relative statistical uncertainty <i>σ<sub>stat</sub></i> of <i>R<sub>LDR</sub></i> we get
 
</p>
 
<div class="equationDiv"><img class="largeEquation" src="https://static.igem.org/mediawiki/2017/e/e9/T--Munich--Hardware_equation18.png"><span>(18)</span></div>
 
<p>
 
We used a value of 1 digit for the absolute systematic uncertainty for a voltage measurement. The relative systematic
 
uncertainty is 1/U for a measured voltage U. For the relative systematic uncertainty <i>σ<sub>sys</sub></i> of <i>R<sub>LDR</sub></i> we therefore get
 
</p>
 
<div class="equationDiv"><img class="largeEquation" src="https://static.igem.org/mediawiki/2017/0/09/T--Munich--Hardware_equation19.png"><span>(19)</span></div>
 
<p>
 
The equation for the total uncertainty <i>σ<sub>RLDR</sub></i> is then
 
</p>
 
<div class="equationDiv"><img class="largeEquation" src="https://static.igem.org/mediawiki/2017/d/d8/T--Munich--Hardware_equation20.png"><span>(20)</span></div>
 
<p>
 
<i>R<sub>LDR</sub><i>, <i>R<sub>b</sub><i> and their uncertainties are calculated by the microcontroller, read by the computer and saved for further analysis in a text file.
 
</p>
 
</td>
 
</tr>
 
 
<tr><td colspan=6 align=center valign=center>
 
<h3>Data Analysis and Final Result</h3></td></tr>
 
 
<tr><td colspan=6 align=center valign=center>
 
<p>
 
With <a href="#equation12">equation 12</a> and the fitted value for <i>k</i> the measured resistances can be translated into fluorescein concentrations <i>c</i>. <a href="#equation12">Equation 12</a> solved for <i>c</i> is
 
</p>
 
<div class="equationDiv"><img class="largeEquation" src="https://static.igem.org/mediawiki/2017/a/a3/T--Munich--Hardware_equation21.png"><span>(21)</span></div>
 
<p>
 
The equation for the relative uncertainty <i>σ<sub>c</sub></i> of the fluorescein concentration <i>c</i> is
 
</p>
 
<div class="equationDiv"><img class="largeEquation" src="https://static.igem.org/mediawiki/2017/c/c3/T--Munich--Hardware_equation22.png"><span>(22)</span></div>
 
<p>
 
where <i>σ<sub>k</sub></i> is the relative uncertainty from the fit of <i>k</i>. We are now enabled to measure fluorescence in units of equivalent fluorescein concentrations <i>c</i>. We analysed data of a first experiment with these equations. The resulting figure is shown in the beginning of this documentation.
 
</p>
 
 
</td>
 
</td>
 
</tr>
 
</tr>

Latest revision as of 09:14, 9 December 2017


Complete overview of all modular hardware parts in our pathogen detection system. Shown are counterclockwise and starting in in the upper left corner: The Quake valve that controls fluid flow, our sample processing device, the paper strip where a reaction mix is stored and the readout reaction takes place and finally our low-cost fluorescence detector "Lightbringer" that performs the readout measurement. Images are clickable and linked to the corresponding wiki subsection.

Hardware

The liberation of diagnostic tests from expensive lab infrastructure requires innovative ways of sample processing and measuring. We therefore developed a set of portable hardware tools with the goal of providing an automated sample-to-answer solution. The heart of our system is ‘Lightbringer’, our fluorescence detector, which is capable of measuring kinetics of biological or chemical reactions on paper. Built from 3D–printed parts and standard electronic components, it can be assembled for less than 15$, while offering a sensitivity competitive to commercial fluorescence readers. Additionally, tackling the challenge of sample pre-processing in field, we developed a portable fluidic system, featuring a temperature control unit for lysis and isothermal PCR. Conceiving a platform independent of lab infrastructure, we demonstrate the feasibility of controlling fluid flow with bike tires and air balloons. All hardware components are designed and documented with the aim of enabling the community to reproduce and extend our set of tools.