IoT based detection of harm mercury substance in cosmetics

Tiong, Albert Guo Lee (2022) IoT based detection of harm mercury substance in cosmetics. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Heavy mercury is one of the most toxic substances that can cause serious health effects including kidney damage, anxiety depression, and memory loss. Mercury-containing cosmetics have been used as skin bleaching agents without considering the clinical effects. The objective of this project is to develop IoT Based mercury substance detector in cosmetic products. The scope of the project is to find a suitable sensor, determine the detection value range of mercury in cosmetics, and build a circuit to send data through IoT. The software used in this project are Arduino IDE, Blynk, and Google Spreadsheet. Arduino IDE is used to develop the coding of NodeMCU. Blynk and Google Spreadsheet are used to receive data from NodeMCU. The main components used in this project are NodeMCU Board, pH sensor, and connecting wire. The pH sensor is connected to the NodeMCU board through a connecting wire. Through the code developed by the Arduino IDE, the data from the pH sensor will notify the Blynk software of the presence of mercury through the NodeMCU board. The detection data of the pH sensor will also be stored in the Google spreadsheet, and the historical detect data of the project can be viewed through the Google spread sheet. Among the five cosmetic samples analyzed, only the pH values (pH 6 and 6.2) of two samples were detected in the presence of harmful mercury substances. In conclusion, IoT Based mercury substance detector in cosmetic products has been developed and can be viewed through Blynk software and Google spreadsheets.

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