Biosensor Based on Biochip-G For Dissolved Oxygen Detection from Photosynthesis Process of Green Algae Chlorella Vulgaris

Umar, Lazuardi and Setiadi, Rahmondia Nanda and Hamzah, Yanuar and Linda, Tetty Marta (2017) Biosensor Based on Biochip-G For Dissolved Oxygen Detection from Photosynthesis Process of Green Algae Chlorella Vulgaris. In: Proceedings of 2017 International Conference on Smart Cities, Automation & Intelligent Computing Systems (ICON-SONICS 2017), 08 November 207, Yogyakarta.

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Abstract

Water contamination has negatively impact on the needs of everyday life in the form of changing dissolved oxygen concentration, which is one of water pollution indicators. This paper presents a simple biosensor using amperometric electrodes for observing the changes of dissolved oxygen production rate in the solution. The measuring process is implemented using the biochips G which is connected with a biosensor module and electronic circuit to detect the changes of dissolved oxygen production rate (pO2) directly in real time measurement. Initial test was completed to observe the biochip response to the different oxygenated water solution of 50% and 100% concentration. A light and dark experiment with ON/OFF phase of 20 minutes illumination period was realized to stimulate the green algae Chlorella vulgaris photosynthesis process to produce dissolved oxygen (DO) rate. The measurement results show Biochip G using algae Chlorella vulgaris response to environmental changing conditions in the form of relationship between output voltage and DO rate the solution.

Item Type: Conference or Workshop Item (Paper)
Keywords: Biosensor, Algae Chlorella vulgaris, Dissolved Oxygen, Real Time Detection, Biochip G
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods
600 Technology (Applied Sciences) > 630 Agriculture
Divisions: Universitas Multimedia Nusantara
Depositing User: Administrator UMN Library
Date Deposited: 03 Mar 2018 10:29
Last Modified: 11 Jan 2022 03:21
URI: https://kc.umn.ac.id/id/eprint/2795

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