IoT-Integrated Mercury Substance Detection System for Cosmetic Product Safety

Anis Suhaila Mohd Zain, Albert Tiong Guo Lee, Fauziyah Salehuddin, Ahmed Musa Dinar, Nurulfajar Abd Manap, Hanim Abdul Razak, Hazura Haroon and Siti Khadijah Idris@Othman
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Anis Suhaila Mohd Zain: Centre for Telecommunication Research & Innovation, Fakulti Teknologi Dan Kejuruteraan Elektronik Dan Komputer (FTKEK), Universiti Teknikal Malaysia Melaka (UTeM)
Albert Tiong Guo Lee: Centre for Telecommunication Research & Innovation, Fakulti Teknologi Dan Kejuruteraan Elektronik Dan Komputer (FTKEK), Universiti Teknikal Malaysia Melaka (UTeM)
Fauziyah Salehuddin: Centre for Telecommunication Research & Innovation, Fakulti Teknologi Dan Kejuruteraan Elektronik Dan Komputer (FTKEK), Universiti Teknikal Malaysia Melaka (UTeM)
Ahmed Musa Dinar: Department of Computer Engineering, University of Technology-Iraq, Baghdad
Nurulfajar Abd Manap: Centre for Telecommunication Research & Innovation, Fakulti Teknologi Dan Kejuruteraan Elektronik Dan Komputer (FTKEK), Universiti Teknikal Malaysia Melaka (UTeM)
Hanim Abdul Razak: Centre for Telecommunication Research & Innovation, Fakulti Teknologi Dan Kejuruteraan Elektronik Dan Komputer (FTKEK), Universiti Teknikal Malaysia Melaka (UTeM)
Hazura Haroon: Centre for Telecommunication Research & Innovation, Fakulti Teknologi Dan Kejuruteraan Elektronik Dan Komputer (FTKEK), Universiti Teknikal Malaysia Melaka (UTeM)
Siti Khadijah Idris@Othman: Centre for Telecommunication Research & Innovation, Fakulti Teknologi Dan Kejuruteraan Elektronik Dan Komputer (FTKEK), Universiti Teknikal Malaysia Melaka (UTeM)

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 10, 1289-1297

Abstract: Mercury is one of the most toxic heavy metals, capable of causing severe health problems such as kidney damage, anxiety, depression, and memory loss. Despite these risks, mercury-containing cosmetics continue to be used as skin-lightening agents, often without consideration of their clinical impacts. To address this issue, this study proposes the development of an IoT-based system for detecting mercury in cosmetic products. The system integrates a pH sensor with a NodeMCU board programmed using Arduino IDE, while Blynk and Google Spreadsheet are employed for real-time monitoring and historical data storage. The detection principle is based on pH analysis, as mercury-containing cosmetics typically fall within the acidic pH range of 5-7. Experimental validation was conducted on five cosmetic samples, of which two (pH 6.0 and 6.2) indicated the presence of mercury. The results demonstrate that the proposed IoT-based system can successfully identify and record mercury contamination, providing accessible monitoring through Blynk and systematic data logging via Google Spreadsheet. This approach highlights the potential of low-cost IoT-based solutions for enhancing cosmetic product safety monitoring.

Date: 2025
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