Dilution and ELISA model submission
Mon, Sep 21, 2026 · Week 5 · Genetics of Disease (Medical Interventions)
Today's goal: Submit your standard curve, model ELISA data, and interpretation to close the dilution week.
This is a model of the work you should turn in today. Use it to check your own: match the structure and the level of detail, do not copy it. Your data and wording should be your own.
Interpretation: Well 1 was positive because its color matched the most concentrated standard on my curve, while Well 4 was effectively negative. I knew this by reading each well's color signal across to the best-fit line and down to its concentration.
Source of error: reading colors by eye is subjective, so two people might assign slightly different concentrations to a medium-blue well; a plate reader would reduce this error.
For the wet lab I want to: pipette more carefully so my dilution steps are exactly tenfold.
This model shows the level of evidence and organization needed to complete: A packaged submission with the labeled standard curve, the model ELISA data table, a short interpretation of which samples were positive, and one source of error.
- State the question and method.
- Present the observations and data with units.
- Explain the result, limitations, and next investigation.
Keep the structure. Replace the question, facts, measurements, and evidence. Then recheck units, vocabulary, and whether the conclusion goes beyond the evidence.
Also due today: Submit graph, data table, and interpretation on Schoology.
Turn in: Dilution and ELISA model report
Go to Schoology to turn this in.
Submit one PDF. Put your first and last name in the document header. Name the file: FirstName LastName - Assignment Title - YYYY-MM-DD.pdf.
Open Schoology PDF upload helpIf you cannot get in, see Mr. Mendoza. Do not skip the work.
Claim ceiling: Today's evidence supports a classroom claim about today's lesson. It cannot prove causation, diagnose a real patient, or justify action outside this room.
One exam-style question that uses exactly what you practiced today. Try it before you reveal the answer, then read why each choice is right or wrong.
Tap an answer to see the full explanation. Nothing is recorded or graded.
It builds this reusable test skill: Identifying a source of measurement error in a colorimetric assay.
- Name the concept or data pattern being tested.
- Cross out choices that violate that rule or the evidence.
- Justify the best remaining choice before checking the answer.