Wax Moth Infection Model for Antibiotic Adjuvants

Wax Moth Infection Model for Antibiotic Adjuvants

ISEF Category: Translational Medical Science

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Subcategory: Pre-Clinical Studies  ·  Difficulty: Advanced  ·  Setup: Home Setup  ·  Time: 1 to 2 Months

The Hook

A tiny wax moth larva can act like a living test subject for infection studies. That makes it useful when you want to compare treatment ideas before anyone thinks about people. You can ask whether plant oils help weak antibiotic doses work better against a harmless skin bacterium. That gives you a real pre-clinical question with simple equipment.

What Is It?

Galleria mellonella is the wax moth larva. Researchers use it as a simple infection model because it can survive in a lab or home setup, and its immune system gives useful signals when it faces microbes. Think of it like a practice field for testing whether a treatment idea has a chance before it moves to more complex models.

In this project, you test whether an essential oil acts as an adjuvant. An adjuvant is a helper ingredient that boosts another treatment. Your main question is whether a low, subinhibitory dose of an antibiotic works better when paired with an oil. You then watch survival, activity, or another clear outcome after challenge with Staphylococcus epidermidis, a common BSL-1 skin bacterium that students can study more safely than many pathogens.

Why This Is a Good Topic

This topic works well because you can change one thing at a time, such as oil type, oil dose, or antibiotic dose, and measure a clear outcome like larval survival or movement. It also connects to a real medical problem, which is drug resistance and treatment support. You can learn how to build controls, compare groups, and turn biological responses into clean data. That makes it a strong pre-clinical project for a student who wants original research without a university lab.

Research Questions

  • How does adding an essential oil change larval survival after exposure to a subinhibitory antibiotic dose and Staphylococcus epidermidis?
  • What is the effect of different essential oils on survival when paired with the same weak antibiotic dose?
  • Does the dose of essential oil change the size of the treatment benefit in the infection model?
  • To what extent does the order of treatment, oil first versus antibiotic first, change the outcome?
  • Which combination of oil and antibiotic produces the strongest improvement over either treatment alone?
  • How does treatment with an essential oil affect a sham-infected control group?
  • What is the effect of storing the essential oil before use on its apparent adjuvant activity?

Basic Materials

  • Galleria mellonella larvae from a bait supplier or science supplier.
  • Prepared agar plates for culture work.
  • BSL-1 strain of Staphylococcus epidermidis from a school or approved teaching source.
  • Essential oil samples with clear ingredient labels.
  • Sterile cotton swabs.
  • Disposable inoculation loops or sterile spreaders.
  • Micropipettes and sterile tips.
  • Small sterile microcentrifuge tubes.
  • Disposable gloves.
  • Safety glasses.
  • Digital kitchen scale with 0.1 g accuracy.
  • Permanent marker for labeling.
  • Seal-able plastic incubation container.
  • Notebook or spreadsheet for tracking outcomes.
  • Phone camera for documenting groups under the same lighting.
  • Alcohol wipes for surface cleaning.

Advanced Materials

  • Analytical balance.
  • Class II biosafety cabinet if your institution requires one for culture handling.
  • Incubator with stable temperature control.
  • Spectrophotometer or plate reader for bacterial growth checks.
  • Hemocytometer or colony counting supplies.
  • Stereo microscope for larval health scoring.
  • Autoclave or approved sterilization access.
  • Gas chromatography mass spectrometry data for essential oil composition, if available through a partner lab.
  • Image analysis setup for consistent scoring of larval color and movement.
  • Calibrated pipettes with low-volume tips.
  • pH meter for checking treatment solutions.
  • Data logger for temperature and humidity.

Software & Tools

  • Google Sheets: Organizes group data, survival outcomes, and treatment labels for comparison graphs.
  • R or RStudio: Runs survival curves, significance tests, and cleaner plots for the treatment groups.
  • ImageJ: Measures image brightness or color shifts if you score larval appearance from photos.
  • PubMed: Helps you find review articles and primary papers on insect infection models and antibiotic adjuvants.
  • NIH PubMed search filters: Narrows results to review papers, recent studies, and related pre-clinical work.

Experiment Steps

  1. Define the single outcome you will measure, such as survival, activity score, or appearance score, so your design stays focused.
  2. Choose one antibiotic and one or two essential oils, then justify why those choices fit a BSL-1 pre-clinical model.
  3. Plan control groups that separate the effect of infection, the antibiotic alone, the oil alone, and the combined treatment.
  4. Decide how you will standardize larval size, lighting, handling, and scoring so your data stay comparable across groups.
  5. Build a data table and analysis plan before you start, including how you will summarize survival and compare groups.
  6. Pilot the workflow with non-living practice samples or mock scoring, then refine the protocol before collecting real results.

Common Pitfalls

  • Using larvae of very different sizes, which can make survival outcomes hard to compare.
  • Letting the essential oil sit unevenly on the treatment surface, which changes the real dose each larva receives.
  • Mixing up infected and sham-treated controls, which makes it impossible to tell whether the treatment helped.
  • Scoring larval health under different room light or camera settings, which can distort color and movement data.
  • Treating the result as proof of medical effectiveness, when the model only supports a pre-clinical comparison.

What Makes This Competitive

A strong version of this project does more than ask whether a combo works. It compares multiple oils, tests dose response, and uses clean controls that separate antimicrobial action from simple larval stress. You can also raise the quality by pre-registering your analysis plan, using survival statistics instead of only visual scoring, and checking whether oil chemistry explains the result. That kind of design makes the project feel closer to real pre-clinical research.

Project Variations

  • Test essential oils against a different BSL-1 bacterium, such as a teaching strain of E. coli, to compare how the model responds to Gram-negative versus Gram-positive cells.
  • Swap survival scoring for image-based activity analysis, then quantify how fast larvae recover normal movement after treatment.
  • Compare whole essential oils with a single major component, such as thymol or eugenol, to see whether the mixture works better than one ingredient.

Learn More

  • PubMed: Search for review articles on Galleria mellonella infection models, insect immunity, and antibiotic adjuvants.
  • NIH PubMed Central: Read free full-text papers on larval infection studies and pre-clinical screening methods.
  • NCBI Bookshelf: Look for free textbook chapters on microbiology, antimicrobial action, and experimental design.
  • USDA Agricultural Research Service: Search for insect biology resources if you want background on larval development and handling.
  • OpenStax Biology 2e: Use the free textbook for quick review of immune response, microbes, and experimental controls.

For next steps tailored to your interests, skill level, and timeline, work one-on-one with a MehtA+ mentor. Learn more about MehtA+ Science & Engineering Research Mentorship →

To discover more projects, visit the MehtA+ Science Fair Project Discovery Hub​ →

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