ColorX: A Fitness Tracker-Based Device for Rapid, Optical Sensing of Water Quality Parameters
Optical sensors have emerged as a popular technology for sensing biological and chemical analytes in various fields, including environmental monitoring, toxicology, disease/infection screening, and food processing, due to their ease of use, high sensitivity, and specificity. In this study, we introduce ColorX, an ultra-portable and smart spectrophotometric device based on a commercially available fitness tracker. ColorX exploits the in-built LEDs and photodiodes of a fitness tracker for wavelength-specific absorption measurements and can be controlled wirelessly using a companion smartphone app. The device's raw data are transmitted via Bluetooth and stored on the app for analysis and data visualisation. We validated the performance of ColorX against a standard benchtop spectrophotometer by experimentally testing five different measurements related to water quality: nitrite (>0.07 mg/L, %avgCV: 1.06)), sulphate (>18 mg/L, %avgCV: 0.39), chromium (>0.002 mg/L, %avgCV: 0.51), free chlorine (>0.005 mg/L, %avgCV: 0.68), and turbidity (>2.97 NTU, %avgCV: 1.04). Our results showed that ColorX had comparable performance to the benchmark spectrophotometer (R<sup>2</sup> values > 0.9 in all cases). Due to its ultra-portability, water-proof design, wireless control, and smartphone-aided data analysis, we believe ColorX will be highly beneficial for a wide range of on-field spectrophotometric applications. Our work demonstrates the potential of frugal science to develop affordable and accessible technology for optical sensing.
Authors
- Ganga Chinna Rao Devarapu (ORCID: https://orcid.org/0000-0002-9498-8907)
- Uday Gowda
- Venkata V. B. Yallapragada (ORCID: https://orcid.org/0000-0002-1766-0617)
- Adarsh Ananthachar (ORCID: https://orcid.org/0000-0003-3523-0810)
- Fay ní Chlochasaigh
- Liam O’Faoláin (ORCID: https://orcid.org/0000-0003-1160-7441)
Institutions
- Munster Technological University (IE)
Publication Details
- Journal
- Sensors
- Published
- 2025-08-09
- DOI
- https://doi.org/10.3390/s25164935
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00