# Title Team Members TA Documents Sponsor
30 Refrigerator Food Contamination Detection using Electronic Nose
Agnivah Poddar
Siddharth Muralidaran
Simran Patil
Anthony Caton other
Team Members:
Siddharth Muralidaran (
Simran Patil (
Agnivah Poddar (

Refrigerator Food Contamination Detection using Electronic Nose

Food poisoning is a serious problem that affects thousands of people every year. The pathogen Salmonella along with Listeria and Toxoplasma are implicated in 1500 deaths every year out of approximately 5000 total deaths reported in the United States. The World Health Organization (WHO) reports that salmonellosis caused by Salmonella spp. is the most frequently reported food borne disease worldwide [2]. Poisoning food must be detected early in order to prevent diseases. Contaminated food is usually detected by odor which is composed of molecules of specific sizes and shapes with a corresponding receptor in the human nose. The brain identifies the smell associated with that particular molecule when signaled by the receptor. Electronic nose is an array of sensors that imitates this biological functionality.

The main goal of the project is to build an electronic nose that can detect food contamination inside the refrigerator, before the human nose and notify the user through a UI interface attached to the refrigerator’s external wall. Concentration of certain gases like acetone, ethanol, Ammonia (NH3), Hydrogen Sulfide (H2S) etc. increases because of rotten food and thus can be detected by the array sensors which are the heart of the design. The following sensors are commercially available and can be used to detect certain chemicals, process the data and help with categorization. On looking into the data sheets of the following sensors, the working temperature range is around -10 to 45 °C which works well with our refrigerator’s internal conditions.

Sensor Sensitivity
TGS 2611.5%1 Methane
TGS 2611.5%2 Methane
TGS 2602 Hydrogen Sulfide
TGS 800 Fumes from food, alcohol, odor
TGS 822 Alcohol, organic solvents
TGS 4160 Carbon dioxide
SHT 11 Relative humidity and temperature

Additionally, we plan to incorporate features of an existing smart refrigerator in this adapter. This includes a barcode scanner to scan in packaged food to be added to the inventory in the refrigerator or feed in data about vegetables and fruits. This would also help in detecting spoilage of packaged food, which otherwise would not be detectable by the electronic nose.

Primary goal: The proof of concept exists in the form of multiple white papers. Our aim is to use the findings from these papers and implement a prototype that works in practical conditions like a refrigerator.



Logic Circuit Teaching Board

Younas Abdul Salam, Andrzej Borzecki, David Lee

Featured Project

Partners: Younas Abdul Salam, Andrzej Borzecki, David Lee

The proposal our group has is of creating a board that will be able to teach students about logic circuits hands on. The project will consist of a board and different pieces that represent gates. The board will be used to plug in the pieces and provide power to the internal circuitry of the pieces. The pieces will have a gate and LEDs inside, which will be used to represent the logic at the different terminals.

By plugging in and combining gates, students will be able to see the actual effect on logic from the different combinations that they make. To add to it, we will add a truth table that can be used to represent inputs and outputs required, for example, for a class project or challenge. The board will be able to read the truth table and determine whether the logic the student has created is correct.

This board can act as a great learning source for students to understand the working of logic circuits. It can be helpful in teaching logic design to students in high schools who are interested in pursuing a degree in Electrical Engineering.

Please comment on whether the project is good enough to be approved, and if there are any suggestions.

Thank you