Rethink your drink: An experiment to predict the effect of drinks on teeth

The sugary drinks provide food to bacteria generally found in the mouth. This bacteria then generates acid which causes tooth decay. But what is more dangerous, the fizz, sugar or the duration of exposure? My work explores these aspects
Dhruv Deshpande
Captain Nichola Goddard School
Grade 8

Presentation

No video provided

Hypothesis

I assume that the three sodas I'm using will cause more damage than the juices because these sodas are bubbly and fizzy. So, maybe the fizziness will cause the eggshell to erode faster.

I already know that sugar leads to mast decaying-causing factor for our teeth which means that the drinks with the most sugar content may be the most harmful drink.

Research

Before doing the experiments, I researched on the following topics:

  • Tooth Decay

When a tooth has decay, it indicates that the acid has cut through the enamel and affected the dentine (the part inside the tooth and prone to decay).

  • Effect of sugary drinks on teeth

The sugary drinks provide food to bacteria generally found in the mouth. The bacteria then generate acid which starts affecting the tooth.

  • Finding an item similar to teeth

I wanted to figure out an object or material which can be similar to teeth as I can’t test on any actual tooth.

My search and reading on the internet [3,4] showed that eggshell or chalk are very similar to a human tooth’s enamel in terms of color and material contents. I chose to use an eggshell to analyze the effect of corrosion on the inside walls after the experiment.

Variables

My controlled variables are:

  • Time- 36 to 48 hours - reading every 12 hours
  • Quantity of drink- 222ml ( 1 small can)
  • brown eggs

My uncontrolled variables are:

  • Temperature of the space
  • Container contaminatio

    My responding variables are: * The color variation of the eggshell * Texture and erosion of the eggshell

Observation Method:

  • After taking the pictures for every reading ( every 12 hours). Each picture was rated on a scale of 0 - 3 by me.
  • 0 - no change
  • 1 - not bad
  • 2 - bad
  • 3 - worst

Precaution taken: Eggs of same color tone were carefully chosen for every experiment .

Procedure

First Step: Measure (222ml or 1 can) and pour the drink into the container then put the brown egg into the drink (ex. Coca Cola). Label (date, time and drink name) and place the container in an undisturbed place. Leave the drink for 2 days.

Second Step: I took a reading every 12 hours. To take a reading you will need a camera, a spoon, a mask and gloves.  Wear your mask and gloves, then dip the spoon into the drink and pull the egg out. Place the egg on the lid of the container and click a picture of the egg and drink together. Do that for 2days (4 readings-every 12 hours).

Third step: We can’t test all the available drinks so; I decided to do a Machine learning model which will predict how bad the drink is based on its contents. To do this I used a machine learning model [8] to train my data and then on Scratch 3, I programmed the Machine learning model.

Observations

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Analysis

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Conclusion

In this study, I tested Diet Coca Cola, Sprite, Fanta, Orange Juice and Apple Juice (3 sodas & 2 juices).

Results indicated that over a period of 2 days every egg dipped in these drinks showed some level of discoloration, gradual staining and skin erosion.

Although sodas had a substantial effect on the eggshells, 2 juices, namely: Orange and Apple had drastically eroded the shells and stained the eggs in just 2 days. This impact was visible within the first 12 hrs.

Based on these observations and some additional information from the internet [5], I trained a Machine learner model. Using this model I could predict the effect of a drink given information about its ingredients.

Application

The extension of this work to formulate a Machine Learning model helps to utilize experimental science further in a more useable artefact. Personally, I benefitted from the exposure to ML development and solution focused approach to problem solving. I strongly believe that this work can help individuals make more informed soda/drink choices and improve oral health outcomes.

Sources Of Error

1) Repeating experiments would have provided more clarity to the results and further analysis 2) I tried to use the same type of soda every single time however, once opened the liquid loses its fizz over time. However, I believe this has least impact on the results as the ingredients do not degrade 3) I used the same spoon to remove egg for pictures. This might have caused cross contamination of liquids. 4) I cleaned the containers before repeating the experiment. I am unsure if any residue from previous experiment might affect the subsequent results.

Citations

  1. https://makdentalgroup.com/the-top-3-worst-drinks-for-your-teeth/

  2. To find out what were the most dangerous drinks for our teeth and what do bacteria do to make a cavity.

  3. https://www.webmd.com/oral-health/picture-of-the-teeth#1

  4. To find out the structure of the tooth and when does the cavity have any effect.

  5. What We Learned From a Tooth Decay Experiment With Eggshells (https://happytoothnc.com/tooth-decay-experiment-with-eggshells/)

  6. How and what to do in the experiment.

  7. Which Drink corrodes your teeth (represented by chalk) (https://prezi.com/qwhmt4nrlr2j/which-drink-corrodes-your-teeth-represented-by-chalk-the-most/)

  8. More about the tooth’s enamel and how it is similar to the eggshell.

  9. https://www.coca-cola.ca/brands/coca-cola

  10. Find test drinks

  11. Approx. contents of I can= 355ml

  12. https://www.quora.com/Is-Diet-Coke-less-bad-for-your-teeth-than-regular-Coke

  13. Effects of Diet Coke in an hour.

  14. Tips and tricks on how to avoid Coke.

  15. http://www.authorstream.com/Presentation/andrewoleary-1374763-andrew-o-leary-science-fair-backboard/

  16. More information about how to present trifolds.

  17. https://machinelearningforkids.co.uk/

  18. Introduction to Machine learning.

  19. Scratch based learning.

Acknowledgement

This project has been a learning experience for me and very many people have helped me in this feat. I would like to acknowledge my mom and my sister for the help through out this project And I would like to also thank my teachers and dad for the help