Researchers at Indian Institute of Technology (IIT) Bombay have developed an innovative device called AroTrack, designed to detect water pollution efficiently and accurately. This portable, affordable device can identify various pollutants in water, including heavy metals, pesticides, and industrial contaminants.
AroTrack's unique features include:
Its ability to detect pollutants at extremely low concentrations (parts per billion).
Utilization of advanced nanotechnology-based sensors.
Real-time monitoring and detection capabilities.
User-friendly interface for easy operation.
The device has undergone successful testing in various environments, including industrial effluents, river water, and drinking water sources. AroTrack's developers envision its widespread adoption across India, particularly in rural areas where access to clean water remains a challenge.
IIT Bombay's AroTrack team aims to collaborate with government agencies, water quality monitoring organizations, and industries to deploy the device extensively. By empowering communities to monitor water quality effectively, AroTrack has the potential to significantly mitigate India's water pollution crisis.
The AroTrack device offers several key benefits that make it an ideal solution for water pollution detection. One of its most significant advantages is affordability. AroTrack is significantly cheaper than existing solutions, making it accessible to a wider range of users, including those in resource-constrained areas.
Another benefit of AroTrack is its portability. The device is designed to be compact and lightweight, enabling on-site testing and monitoring. This feature eliminates the need for laboratory testing, saving time and resources. AroTrack's ease of use is another notable feature.
This ensures that users without extensive technical backgrounds can effectively operate the device, expanding its potential user base.
It provides rapid detection capabilities, delivering real-time results. This enables swift decision-making and prompt action to address water pollution issues, making it an invaluable tool for monitoring water quality.
Reference:
(Input From Various Sources)
(Rehash/Neha Kamble/MSM)