Engineering content update final

wiki/pages/engineering.html

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         <h1>Learn</h1>
         <p>
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+            Through our tests, we were able to learn many things about our aptamer probe. For example, we learned that
+            the aptamer probes had much weaker fluorescence values than we had imagined. With a 100µL solution of 500µM
+            aptamer solution and 500µM biomarker solution, the maximum Relative Fluorescence Unit (RFU) was 846. While
+            this is a measurable value, we realized that there is much more research needed to improve this system and
+            increase the RFU value in some way. This would be able to prevent false positives during screenings, and we
+            would recommend other teams to explore this topic of amplification.<br><br>
+            Furthermore, we were able to verify the specificity and durability of aptamers. Although we did know through
+            literature that aptamers were better in terms of specificity and durability compared to antibodies, we were
+            able to verify this through our specificity test and shelf life test. Our experiments build off of prior
+            experiments with aptamers, and is another example of the versatility of aptamers probes.<br><br>
+            We also learned that the FRET mechanism works very well. In our experiments, when we had only a solution of
+            S2.2 aptamer probes without Mucin 1 biomarkers, the aptamer probes virtually did not fluoresce, since the
+            RFU values were similar to that of pure buffer solution. This exemplifies the high accuracy of the aptamer
+            probe mechanism utilizing the FRET mechanism to make the aptamer probes only fluoresce in the presence of
+            the desired target.
+        </p>
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         <h1>Design</h1>
         <p>
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+            We explored various previous literature conducted on breast cancer patients, as well as literature on the
+            detection of breast cancer through the ELISA method detecting levels of Mucin 1 biomarker. As shown in the
+            box and whisker chart below, literature showed that the error bars of the standard mean error overlapped
+            between breast cancer patients and healthy patients.
+        <div style="display: flex; flex-direction: column; align-items: center; width: 100%; margin: 14px 0">
+            <img width="50%" src="https://static.igem.wiki/teams/4334/wiki/engineeringchart.png">
+            <div class="smaller">(Werfalli, et al.)</div>
+        </div>
+        Thus, we determined that our method may not provide the most accurate assessment of who requires further
+        screening due to risk of false positives—and alarming potential patients is a situation we’d like to avoid. For
+        this reason, we propose to implement our screening method to detect diseases where any presence of biomarkers is
+        an indication for the necessity of treatment (including hepatitis B virus). When it comes to breast cancer
+        applications, we propose to apply this method in the future where technology for the identification of Mucin 1
+        biomarker concentrations in patients with breast cancer have improved.
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