REDUCED COST
ELISA READER
INFECTIOUS DISEASES
MEMBERS:
CHAITY CHAKRABORTY
NISHAT TASNIM
LABIBA ISLAM SALSABIL
MD ASIB RAHMAN
1
BANGLADESH UNIVERSITY OF ENGINEERING AND TECHNOLOGY
DEPARTMENT OF BIOMEDICAL ENGINEERING
Problem statement
2
RDT Test kit
False positive/ False negative result
Wrong treatment
Accuracy: 75-80%
Doctor suggests Elisa
Elisa reader not available , samples sent to IEDCR/BSMMU for testing
Reports get delayed by 2/3 days
Possibilities of sample contamination
Increase in price of test
Accuracy : 95 – 98%
Situation 1:
Situation 2:
ELISA – Enzyme linked immuno- sorbent Assay
solution
3
We are in a mission to make a reduced-cost ELISA setup to eradicate the problem of wrong treatment due to false positive/false negative results and make highly accurate Elisa tests accessible for every citizen at a very low-cost saving their lives, money and time.
So, our solution is to make a reduced-cost ELISA reader which will be
Commercial Elisa Reader
Reduced cost Elisa Reader
2 lakhs – 50 lakhs BDT
Prototype: 4000 BDT/34 USD
4
Design Description
This is how our final product looks like!!
Design Components
5
6
How this design works?
Risk Analysis:
Novelty that we're adding to this design:
7
8
Major Technical Challenges and how we solved them
Problem Specifications | How we solved them |
Light source | Initially, we used a laboratory-provided single LED light source that lacked monochromaticity. Now, an LED with filter paper serves as our stable light source. |
Sensor | Initially, we used a photodiode as per the paper's guidance, but it operated in the IR region, incompatible with our visible light context. After thorough research, we identified a precise light intensity sensor (GY-30 BH1750) that measures lux units, effectively detecting subtle light changes. |
Repeatability | Initially, a 3D printed black box posed lead placement and sealing problems. The lead's relocation upon opening hindered consistency. Our new SOLIDWORKS model resolves this, ensuring consistent lead placement and values within the same environment. |
Multiple diseases detection | The incorporation of a filter paper tray in our device allows manual wavelength adjustments for the light source, expanding our device's capabilities to detect various infectious diseases by replacing filter papers. |
Experimental Study
9
During experimental stages, we've tested our device using Curcumin samples and at the prototype stage, our device could detect the changes of concentration for tested Curcumin samples.
Testing Curcumin samples with prototype
Clinical Study for Evaluation
Testing the device with proper samples of HBsAg positive and negative patients-
10
11
Sample Preparation
Test kit used for ELISA test of HBsAg
Includes:
Samples after adding Enzyme conjugate
Stirring the samples at 37°C
Adding Color solutions A & B
12
Sample Preparation
Positive samples becoming yellow after addition of Stop solution to the wells. Negatives samples remain colorless.
We wait for 1 hour(30 mins with stirring) after Enzyme conjugate, the wash the solution using was buffer solution 5 times.
After washing away the test samples, we then add color solutions to the remaining bound antigen-antibody complex inside the wells, for better visualization.
13
Video Demonstration of the test procedure!
To watch a detailed video demonstration, click here
Results Analysis
14
We tested more that 150 HBsAg samples and obtained the results for our device.
True Positive | 70 |
True Negative | 75 |
False Positive | 2 |
False Negative | 5 |
Total samples Tested | 152 |
Measures of Statistical Validity | Values in % |
Accuracy | 95.39% |
Sensitivity | 93.33% |
Specificity | 97.40% |
Precision | 97.22% |
Negative Predictive Value (NPV) | 93.75% |
15
Statistical Analysis of Results
Figure: Confusion matrix showing the TP,TN,FP and TN
Here, we assumed that Commercial ELISA Reader gives 100% accurate results, so no false positive or false negative results. Whereas there are some FP and FN results for out ELISA Reader.
16
Statistical Analysis of Results
Figure: Box plot comparing results from our ELISA reader and Commercial ELISA Reader
Assuming the data collected from BSMMU is 100% accurate, this box plot shows our range of True positive, True negative, False positive, False negative.
17
Statistical Analysis of Results
Performing Mann-Whitney U test
For analyzing statistical significance of the results, we performed the Mann-Whitney U test for 95% confidence interval. For this level of confidence, if the p-value is less that 0.05 than we can say that there is a statistically significant difference between the two groups data.
From the test, we found our p-value to be 0.414, much greater that 0.05. Such higher p-value is suggesting that there is not enough evidence to conclude a significant difference between the data from our device and ones from the commercial ELISA Reader.
Environmental Impact and Sustainability
18
Our devices uses NO TOXIC SUBSTANCES that will affect the environment.
The outer box that we're using is made of plywood, which is recyclable as a class B form of wood, making our product more sustainable.
We are planning to incorporate recycling in the outer packaging layer for our final product.
19
TARGET MARKET
Diseases | Affected population |
Viral hepatitis | 1 crore |
Dengue | 2 lakhs |
Tuberculosis | 3.6 lakhs |
HIV | 1000 |
Total | 1 crore 20 lakhs |
Our ELISA test setup will target individuals who are affected by infectious diseases and require testing for accurate diagnosis.
Over the past five years, there have been 175,259
reported cases of dengue outbreak .
Financial analysis
20
Prototype Cost | Cost in BDT |
Light | 2000 |
Sensor | 1000 |
Arduino | 800 |
Others | 200 |
Total | 4000 |
Variable Costs of 1 year (100 units) | Cost in BDT |
Raw Materials(Includes volume discount given by suppliers) | 3,50,000 |
Inventory | 60,000 |
Assembly and Packaging | 40,000 |
Shipping | 2,00,000 |
Transportation | 1,00,000 |
Volume Discount | 50,000 |
Others | 1,00,000 |
Total | 9,00,000 |
Fixed Costs of 5 years (1000 units) | Costs in BDT |
Technicians | 15,00,000 |
Advertisement | 50,000 |
3D printer | 3,00,000 |
Medical testing by DGDA | 10,00,000 |
Workshop | 50,000 |
Lab rent | 3,00,000 |
Utility | 4,50,000 |
Depreciation and Quality Control | 3,50,000 |
Total | 40,00,000 BDT |
With a 15% profit per unit in year 1 and 28.33% profit per unit in year 2, our fixed per unit MRP or Revenue will be set at 20,000 BDT. For detailed profit margin calculations, please refer to the provided link.
Competitive analysis
21
Device name | Our ELISA | RDT Test kit1 | Commercial non-portable and portable ELISA2 | J Mitra Elisa Reader |
COST | 20,000 BDT | 100 – 200 BDT | 1 lakh – 50 lakh BDT (Non-portable) 1,40,000 – 2,00,000 BDT (Portable) | 1,75,000 BDT |
ACCURACY | 95.39% till now | 78% | 95-98% | 95-96% � |
WAY OF SAMPLE PREPARATION | Manual | N/A | Some manual, some automatic | Manual |
DISEASES OF INTEREST | Quantitative test of multiple infectious diseases. | Qualitative analysis of all Infectious diseases | Quantitative test of multiple infectious diseases | Quantitative test of multiple infectious diseases� |
PORTABILITY | Portable | Portable | Majority is not portable | Portable |
Future Plan
22
Publications
Modify the drawbacks of our device.
Publish our work in some renowned journals/conferences
Market Approval
Extensive Clinical evaluation
Getting market approval from DGDA
Humanitarian goals
Watch our device providing benefits to marginalised people.
Some appreciations from respected Dr. Srebash Paul sir,�Contagious Diseases Hospital
"It is a great opportunity for me to congratulate Nishat, Labiba, and Chaity for their extraordinary efforts. They approached me a few months ago with some brilliant ideas for working on infectious diseases. I also share my views with them. It was beyond my imagination what they did in reality. I firmly believe that this ELISA device may bring revolutionary change to our medical industry. I think this device will be very helpful for the health sector in low-resource areas like Bangladesh. I am excited to see the final outcome of this project. I am confident God will bless them with a very bright future."
23
Acknowledgements
To all the teachers, mentors of our faculty and doctors who have helped us immensely throughout our journey.
24
25
Thank you!
# for any references click here.