pH monitoring system with zigbee technology in the biofloculation of the microalga chlorella sorokiniana microalga chlorella sorokiniana
DOI:
https://doi.org/10.61117/ipsumtec.v6i6.54Keywords:
Chlorella sorokiniana, pH, PREEMPT-RM, ZigBeeAbstract
A pH monitoring system was developed at the “Tecnológico Nacional de México campus Mexicali” as an essential tool for carrying out the Project “Optimization of the harvesting process of the Chlorella sorokiniana microalgae by co-pelletizing with the atoxygen strain Aspergillus flavus and improvement of the lipid content.” The technology used consisted of a wireless sensor network with implementation of the PREEMPT-RM real-time algorithm and a low energy consumption PIC16F886 microcontroller for control processes. The system was able to collect and present data in a graphical user interface through internet connectivity. It provided an effective solution for continuous monitoring and precise pH control, allowing timely adjustments to optimize microalgae harvesting. The pH electrode calibration system was validated with buffer solutions to evaluate its effectiveness and performance, guaranteeing effective response time monitoring. Later it was used for the detection and precise control of the pH in the culture medium and in the biofloculation, finding that a good monitoring system allows immediate actions to be taken to optimize the microalgae harvesting process.
Downloads
Metrics
References
Ibrahim, I.A. & Elbaily, Z.I. (2020). A review: Importance of chlorella and different applications. Alexandria Journal for Veterinary Sciences, 65(1), pp. 16-34. DOI: https://doi.org/10.5455/ajvs.94847
Yu, H., Kim, J., Rhee, C., Shin, J., Shin, S.G., & Lee, C. (2022). Effects of different pH control strategies on microalgae cultivation and nutrient removal from anaerobic digestion effluent. Microorganisms, 10(2), pp. 357. DOI: https://doi.org/10.3390/microorganisms10020357
Toscano, L., Ogden, K.L., Ogden, G., Cervantes, L., Steichen, S.A., Brown, J. (2018). Harvesting the microalga Chlorella sorokiniana by fungal-assisted pelletization. Journal of Biobased Materials and Bioenergy, 12(6), pp. 493-505. DOI: https://doi.org/10.1166/jbmb.2018.1798
Audsley, N.C., Burns, A., Richarson, M.F., & Wellings, A.J. (1991). "Hard Real-Time Scheduling: The Deadline Monotonic Approach," in Proceedings 8th IEEE Workshop on Real-Time Operating Systems and Software, Atlanta, GA, USA. DOI: https://doi.org/10.1016/S1474-6670(17)51283-5
Ferrag, M.A., Al-Sammane, A.M., Naman, A.N. & Jafar, I.A. (2020). "A novel real-time ZigBee-based indoor positioning system," in Proceedings of the International Conference on Computing, Networking and Communications, pp. 1-5.
Al-Hek, K., Benkrid, K. & Alja'am, J. (2019). "ZigBee-based environmental monitoring system with mobile device interface," in Proceedings of the International MultiConference of Engineers and Computer Scientists, vol. 1, pp. 1-5.
Pastrana, J.A., Alvarez, M.S., Ruíz, G.E. & López, J.C. (2010). "Microcontroller-based real-time pH monitoring system for industrial applications," IEEE Trans. Instrum. Meas., vol. 59, no. 7, pp. 1932-1939.
Carvalho, R.X., Pereira, P.A.R., Souza, R.V. & Abrahão, T.M.B.V.W.S. (2017). "A ZigBee-based wireless sensor network for real-time monitoring of vineyards," IEEE Sensors Journal, vol. 17, no. 3, pp. 847-855.
Azaman, S.N.A., Yusof, Y. & Hasbullah, H. (2017). Continuous monitoring and control of pH in Chlorella cultivation using wireless sensor network. Journal of Telecommunication, Electronic and Computer Engineering, 9(2-11), 119-123.
Ara, T., Hossain, T. & Hasan, M. (2018). "Design and implementation of a ZigBee-based home automation system", in Proceedings of the International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, pp. 122-127.
Microchip Technology Inc, “PIC16F882/883/886/887 DataSheet” 2011. Recuperado de: http://ww1.microchip.com/downloads/en/DeviceDoc/41291D.pdf
Raza, N., Muhammad, F., Iqbal, M. & Javaid, A. (2017) "ZigBee-based wireless data acquisition system," in Proceedings of the International Conference on Electrical, Communication and Computer Engineering, pp. 1-6.
Liu, C.L. & Layland, J.W. (1973). "Scheduling Algorithms for Multiprogramming in a Hard Real-Time Environment," Journal of the ACM, vol. 20, pp. 46-61. DOI: https://doi.org/10.1145/321738.321743
Saad, W. & Aggoun, A. (2018). "A ZigBee-based environmental monitoring system for underground coal mines", in Proceedings of the International Conference on Computer Science and Information Technology, pp. 283-289.
Zan, L., Ma, W. & Li, W. (2010). "Design and implementation of ZigBee-based wireless sensor network for monitoring of transformer substation", in Proceedings of the IEEE International Symposium on Power Electronics for Distributed Generation Systems, pp. 316-319.
Han, S., Kang, Y., Park, K. & Jang, M. (2007). "Design of Environment Monitoring System for Aquaculture Farms", 2007 Frontiers in the Convergence of Bioscience and Information Technologies, Jeju City, pp. 889-893. Retrieved from: https://ieeexplore.ieee.org/document/4524224. DOI: https://doi.org/10.1109/FBIT.2007.77
Kliphuis, A. M. J., de Winter, L., Vejrazka, C., Martens, D. E., Janssen, M., & Wijffels, R. H. (2010). Photosynthetic efficiency of Chlorella sorokiniana in a turbulently mixed short light-path photobioreactor. Biotechnology Progress, 26(3), 687–696. https://doi.org/10.1002/btpr.379. DOI: https://doi.org/10.1002/btpr.379
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 German Rodríguez Avila, Rubén Castro Contreras , María Guadalupe Amado Moreno , Juan Luis Sarabia Aparicio , Lydia Toscano Palomar

This work is licensed under a Creative Commons Attribution 4.0 International License.
