The researchers at the Indian Institute of Technology Jodhpur have come up with an amazing system that uses smartphones to conduct glucose level tests. They’ve developed a Paper-based Analytical Device (PAD) that connects to any smartphone through an Android app. This device can detect glucose samples within a concentration range of 10−40 mM.
PADs have revolutionized point-of-need testing by providing a portable and efficient way to analyze biochemical samples. The device itself is made up of a special paper that changes color based on the glucose level present. And by connecting it to a smartphone, the researchers have made the process of tracking glucose levels much faster and more personalized.
This device is designed to make glucose testing super convenient for everyone. You don’t need any technical expertise or fancy labs to get quick results. It is cost-effective and good for the environment as well. The current lab cost is estimated at around Rs. 10, but the research team wants to bring it down to just Rs. 5 during mass production. That way, more people can afford it and benefit from it.
The team behind this ground-breaking device consists of Prof. Ankur Gupta, Mr. Vinay Kishnani, Mr. Nikhil Kashyap, and Mr. Shivam Shashank from the Department of Mechanical Engineering at the Indian Institute of Technology, Jodhpur. Their work is really promising and has the potential to make healthcare more accessible and affordable, especially for those who need regular glucose monitoring.
Dr. Ankur Gupta, Associate Professor, Department of Mechanical Engineering, IIT Jodhpur and one of the authors of the study explains, “Smartphones offer seamless integration with other technologies and platforms. The ability to connect the smartphone-based spot detection framework to a larger network or database can facilitate remote monitoring, data storage, and sharing of results. This connectivity can be crucial for healthcare professionals or researchers.”
The researchers have found a way to make the Paper-based Analytical Devices (PADs) even better. They’ve developed a system that allows the PADs to work and send data to smartphones in almost any lighting condition. They used artificial glucose samples to capture different images of colored samples and then used a machine learning app to process those images and create a smartphone app. This ensures that the color intensity of the PAD remains the same, no matter the lighting conditions or the type of smartphone camera. So, you can connect the PAD to any smartphone, regardless of its camera. The research findings were published in ACS Publications. I
Dr. Ankur Gupta elaborates that this research has far-reaching potential, saying “This study demonstrates that this developed system is equipped for initial disease screening at the user end. By incorporating machine learning techniques, the platform can provide reliable and accurate results, thus paving the way for estimating the accuracy of the results for improved initial healthcare screening and diagnosis of any disease.”
This module is so versatile that it can detect various diseases by using sample data for training and testing. The team is currently working on an application that can simultaneously detect glucose, uric acid, and lactate. They’re using different color indicators as unique codes in non-blood samples. While the focus is on glucose detection for now, this framework has the potential to analyze and screen other diseases too. It’s amazing how they can adapt the fundamental concept for different target analytes, enzymes, and indicators. And the best part is, the diagnostic information can be directly delivered to the user’s smartphone through machine learning analysis.
This is definitely a futuristic approach to healthcare.
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