Difference between revisions of "Team:Madrid-OLM/Demonstrate"

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<h3>★  ALERT! </h3>
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<p>This page is used by the judges to evaluate your team for the <a href="https://2018.igem.org/Judging/Medals">medal criterion</a> or <a href="https://2018.igem.org/Judging/Awards"> award listed below</a>. </p>
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<p> Delete this box in order to be evaluated for this medal criterion and/or award. See more information at <a href="https://2018.igem.org/Judging/Pages_for_Awards"> Instructions for Pages for awards</a>.</p>
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<h1>Demonstrate</h1>
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<h3>Gold Medal Criterion #4</h3>
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<p>
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Teams that can show their system working under real world conditions are usually good at impressing the judges in iGEM. To achieve gold medal criterion #4, convince the judges that your project works. There are many ways in which your project working could be demonstrated, so there is more than one way to meet this requirement. This gold medal criterion was introduced in 2016, so check our what 2016 teams did to achieve their gold medals!
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        <title>Demostrate</title>
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        <meta name="description" content="The demostration tha all of our proyect works">
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Please see the <a href="https://2018.igem.org/Judging/Medals">2018 Medals Page</a> for more information.
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                        <div class="col-md-10 col-lg-8">
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                            <h1 id="Teamtittle">Demonstrate</h1>
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                            <p class="lead">Our initial idea has always been to implement a feasible way of getting to what we have called “the Internet of BioThings”.</p>
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                            <a class="btn btn--primary-2 btn--sm type--uppercase" href="https://2018.igem.org/Team:Madrid-OLM/Description#iotb">
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                                    <span class="btn__text">
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                                        LINK A OUR VISION. IoBT
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                                    </span>
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                                </a>
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                            <br/><br/>
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                            <p class="lead">To get there, we had to test four different and correlated sections:</p>
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                            <ol class="ourlist">
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                                <li class="marginmod"><p class="lead">Obtaining accurate protein concentration data from the environment. .</p></li>
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                                <li class="marginmod"><p class="lead">Automating the protocol of analysis for ease of measurement replication and calibration.</p></li>
 +
                                <li class="marginmod"><p class="lead">Uploading the data obtained to the cloud in real time.</p></li>
 +
                                <li class="marginmod"><p class="lead">Designing a scalable process looking forward to integrating eventually new target molecules.</p></li>
 +
                               
 +
                            </ol>
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                            <p class="lead">This year, we have been working on how to solve these issues, and now, we are proud to share with you our final working solutions:</p>
 +
                            <ol>
 +
                                <li class="marginmod"><p class="lead">After trying different approaches, we have finally refined a method to quantify protein concentration in a sample using aptamers, bound to a gold electrode, and measured by an open source potentiostat. The resulting data is replicable and suits the requirements of our sensor (being an affordable, simple, and fast system of measurement).</p></li>
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                                <a class="btn btn--primary-2 btn--sm type--uppercase" href="https://2018.igem.org/Team:Madrid-OLM/Aptamer">
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                                    <span class="btn__text">
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                                        Aptamers
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                                    </span>
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                                </a>
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                                <a class="btn btn--primary-2 btn--sm type--uppercase" href="https://2018.igem.org/Team:Madrid-OLM/ElectrodeIntegration">
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                                    <span class="btn__text">
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                                        Binding to electrode
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                                    </span>
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                                </a>
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                                <li class="marginmod"><p class="lead">For our final device, we have made a complete microfluidics system, including a DIY manufactured pressure pump system and an affordable control system to automate the sample processing and its measurement.</p></li>
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                                <a class="btn btn--primary-2 btn--sm type--uppercase" href="https://2018.igem.org/Team:Madrid-OLM/HardawareMicrofluidics">
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                                    <span class="btn__text">
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                                        Microfluidics
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                                    </span>
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                                </a>
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                                <li class="marginmod"><p class="lead">To be able to show the data obtained to our target community, we have integrated a WiFi module in our hardware whose job is to upload the data obtained by our sensor to a Firebase cloud server. We have also developed an iOS application providing our final user with a user-friendly way of visualizing the data obtained by our nodes.</p></li>
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                                <a class="btn btn--primary-2 btn--sm type--uppercase" href="https://2018.igem.org/Team:Madrid-OLM/HardwareElectronics">
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                                    <span class="btn__text">
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                                        Electronics
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                                    </span>
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                                </a>
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                                <li class="marginmod"><p class="lead">The points enumerated above illustrate only one of the two halves of the project. Our device would be meaningless without a way of scaling its system of measurement to other molecules. In parallel to the device development, we have established a complete new aptamer development process. It includes the very aptamer discovery, its characterization, a computational improvement and an optimal aptamer integration in our device. </p></li>
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                                <a class="btn btn--primary-2 btn--sm type--uppercase" href="https://2018.igem.org/Team:Madrid-OLM/AptDiscovery">
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                                    <span class="btn__text">
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                                        Aptamer Discovery
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                                    </span>
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                                </a>
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                                <a class="btn btn--primary-2 btn--sm type--uppercase" href="https://2018.igem.org/Team:Madrid-OLM/AptCharacterization">
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                                    <span class="btn__text">
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                                        Aptamer Characterization
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                                    </span>
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                                </a>
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                                <br/><br/>
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                                <a class="btn btn--primary-2 btn--sm type--uppercase" href="https://2018.igem.org/Team:Madrid-OLM/Computationaimprovement">
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                                    <span class="btn__text">
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                                        Computational Improvemnt
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                                    </span>
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                                </a>
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                                <br/><br/>
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                            </ol>
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                            <p class="lead">The success of the whole process has been demonstrated in each particular wiki page, which you could review clicking on the links provided above. You could also replicate our experiments (to see if it works) following the detailed instructions that we have provided in our GitHub documentation.</p>
 +
                            <p class="lead">If you want to check in person how our final prototype works, we would love to meet you in our stand at the giant jamboree. If you are too impatient to wait for this event we give you a little spoiler in the following video. Hope you will enjoy it! </p>
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                                    <source src="https://static.igem.org/mediawiki/2018/9/93/T--Madrid-OLM--Proyect--Demostrate--Demovideo2.webm" type="video/webm">
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{{Madrid-OLM/footer}}

Latest revision as of 03:11, 18 October 2018

Madrid-OLM

Demostrate

Demonstrate

Our initial idea has always been to implement a feasible way of getting to what we have called “the Internet of BioThings”.

LINK A OUR VISION. IoBT

To get there, we had to test four different and correlated sections:

  1. Obtaining accurate protein concentration data from the environment. .

  2. Automating the protocol of analysis for ease of measurement replication and calibration.

  3. Uploading the data obtained to the cloud in real time.

  4. Designing a scalable process looking forward to integrating eventually new target molecules.

This year, we have been working on how to solve these issues, and now, we are proud to share with you our final working solutions:

  1. After trying different approaches, we have finally refined a method to quantify protein concentration in a sample using aptamers, bound to a gold electrode, and measured by an open source potentiostat. The resulting data is replicable and suits the requirements of our sensor (being an affordable, simple, and fast system of measurement).

    2. Aptamers Binding to electrode

  2. For our final device, we have made a complete microfluidics system, including a DIY manufactured pressure pump system and an affordable control system to automate the sample processing and its measurement.

    3. Microfluidics

  3. To be able to show the data obtained to our target community, we have integrated a WiFi module in our hardware whose job is to upload the data obtained by our sensor to a Firebase cloud server. We have also developed an iOS application providing our final user with a user-friendly way of visualizing the data obtained by our nodes.

    4. Electronics

  4. The points enumerated above illustrate only one of the two halves of the project. Our device would be meaningless without a way of scaling its system of measurement to other molecules. In parallel to the device development, we have established a complete new aptamer development process. It includes the very aptamer discovery, its characterization, a computational improvement and an optimal aptamer integration in our device.

    5. Aptamer Discovery Aptamer Characterization

    Computational Improvemnt

The success of the whole process has been demonstrated in each particular wiki page, which you could review clicking on the links provided above. You could also replicate our experiments (to see if it works) following the detailed instructions that we have provided in our GitHub documentation.

If you want to check in person how our final prototype works, we would love to meet you in our stand at the giant jamboree. If you are too impatient to wait for this event we give you a little spoiler in the following video. Hope you will enjoy it!