Evaluation of real-time monitoring on the growth of Spirulina microalgae: Internet of Things and microalgae technologies

Microalgae farming is still in its infancy phase to implement Internet of Things (IoT) technologies. Spirulina microalgae was selected to be investigated in this study because it is the most commercially viable microalgae for large-scale production. There are various methods to measure the biomass c...

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Main Authors: Lim, Hooi Ren, Khoo, Kuan Shiong, Chew, Kit Wayne, Teo, Michelle Yee Mun, Ling, Tau Chuan, Alharthi, Sarah, Alsanie, Walaa F., Show, Pau Loke
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Published: Institute of Electrical and Electronics Engineers Inc. 2024
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Online Access:http://eprints.um.edu.my/44926/
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spelling my.um.eprints.449262024-05-06T07:46:32Z http://eprints.um.edu.my/44926/ Evaluation of real-time monitoring on the growth of Spirulina microalgae: Internet of Things and microalgae technologies Lim, Hooi Ren Khoo, Kuan Shiong Chew, Kit Wayne Teo, Michelle Yee Mun Ling, Tau Chuan Alharthi, Sarah Alsanie, Walaa F. Show, Pau Loke Q Science (General) QH301 Biology T Technology (General) Microalgae farming is still in its infancy phase to implement Internet of Things (IoT) technologies. Spirulina microalgae was selected to be investigated in this study because it is the most commercially viable microalgae for large-scale production. There are various methods to measure the biomass concentration of microalgae. However, the conventional methods are time consuming, laborious, or expensive. Therefore, this research aims to integrate IoT with a biomass concentration sensor (TCS3200), to monitor the biomass concentration of Spirulina in real time and remotely through the cloud-based system (ThingSpeak). The TCS3200 sensor was programmed and set up to measure the absorbance of the Spirulina culture in a 10-L cultivation tank. The data was collected and stored in the cloud Thingspeak platform. Besides, additional parameters, such as temperature, light intensity, and water level, were monitored to gain a comprehensive understanding of the entire cultivation process. These sensors were all controlled by a Lolin NodeMCU ESP8266 microcontroller. The TCS3200 sensor was found to be better suited for measuring low-biomass concentrations, while a UV-Vis spectrophotometer was able to measure higher biomass concentrations after the sample was diluted. Real-time monitoring of these parameters allows for timely adjustments to be made to the cultivation conditions to optimize the growth and productivity of the Spirulina culture and detect any problems or abnormalities in the process. The use of IoT technologies in the cultivation of microalgae can improve the efficiency and sustainability of the process and provide valuable data for further research and development. © 2014 IEEE. Institute of Electrical and Electronics Engineers Inc. 2024 Article PeerReviewed Lim, Hooi Ren and Khoo, Kuan Shiong and Chew, Kit Wayne and Teo, Michelle Yee Mun and Ling, Tau Chuan and Alharthi, Sarah and Alsanie, Walaa F. and Show, Pau Loke (2024) Evaluation of real-time monitoring on the growth of Spirulina microalgae: Internet of Things and microalgae technologies. IEEE Internet of Things Journal, 11 (2). 3274 – 3281. ISSN 2327-4662, DOI https://doi.org/10.1109/JIOT.2023.3296525 <https://doi.org/10.1109/JIOT.2023.3296525>. 10.1109/JIOT.2023.3296525
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic Q Science (General)
QH301 Biology
T Technology (General)
spellingShingle Q Science (General)
QH301 Biology
T Technology (General)
Lim, Hooi Ren
Khoo, Kuan Shiong
Chew, Kit Wayne
Teo, Michelle Yee Mun
Ling, Tau Chuan
Alharthi, Sarah
Alsanie, Walaa F.
Show, Pau Loke
Evaluation of real-time monitoring on the growth of Spirulina microalgae: Internet of Things and microalgae technologies
description Microalgae farming is still in its infancy phase to implement Internet of Things (IoT) technologies. Spirulina microalgae was selected to be investigated in this study because it is the most commercially viable microalgae for large-scale production. There are various methods to measure the biomass concentration of microalgae. However, the conventional methods are time consuming, laborious, or expensive. Therefore, this research aims to integrate IoT with a biomass concentration sensor (TCS3200), to monitor the biomass concentration of Spirulina in real time and remotely through the cloud-based system (ThingSpeak). The TCS3200 sensor was programmed and set up to measure the absorbance of the Spirulina culture in a 10-L cultivation tank. The data was collected and stored in the cloud Thingspeak platform. Besides, additional parameters, such as temperature, light intensity, and water level, were monitored to gain a comprehensive understanding of the entire cultivation process. These sensors were all controlled by a Lolin NodeMCU ESP8266 microcontroller. The TCS3200 sensor was found to be better suited for measuring low-biomass concentrations, while a UV-Vis spectrophotometer was able to measure higher biomass concentrations after the sample was diluted. Real-time monitoring of these parameters allows for timely adjustments to be made to the cultivation conditions to optimize the growth and productivity of the Spirulina culture and detect any problems or abnormalities in the process. The use of IoT technologies in the cultivation of microalgae can improve the efficiency and sustainability of the process and provide valuable data for further research and development. © 2014 IEEE.
format Article
author Lim, Hooi Ren
Khoo, Kuan Shiong
Chew, Kit Wayne
Teo, Michelle Yee Mun
Ling, Tau Chuan
Alharthi, Sarah
Alsanie, Walaa F.
Show, Pau Loke
author_facet Lim, Hooi Ren
Khoo, Kuan Shiong
Chew, Kit Wayne
Teo, Michelle Yee Mun
Ling, Tau Chuan
Alharthi, Sarah
Alsanie, Walaa F.
Show, Pau Loke
author_sort Lim, Hooi Ren
title Evaluation of real-time monitoring on the growth of Spirulina microalgae: Internet of Things and microalgae technologies
title_short Evaluation of real-time monitoring on the growth of Spirulina microalgae: Internet of Things and microalgae technologies
title_full Evaluation of real-time monitoring on the growth of Spirulina microalgae: Internet of Things and microalgae technologies
title_fullStr Evaluation of real-time monitoring on the growth of Spirulina microalgae: Internet of Things and microalgae technologies
title_full_unstemmed Evaluation of real-time monitoring on the growth of Spirulina microalgae: Internet of Things and microalgae technologies
title_sort evaluation of real-time monitoring on the growth of spirulina microalgae: internet of things and microalgae technologies
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2024
url http://eprints.um.edu.my/44926/
_version_ 1800082908231237632
score 13.154949