The Utilization of Date (Phoenix dactylifera) Pits and Raspberry Pi Pico in Making a Water Quality Management Device


Authors : Matt James E. Fortes; Margaret Isaiah G. Torio; Sitti Ferdausia R. Laja; Joaquin Diego M. Lardizabal; Precious Jeineth B. Gomez; Leslie Divine R. Mararac; Reiji Rommel D. Catalan; Dr. Julie Ann B. Real

Volume/Issue : Volume 10 - 2025, Issue 4 - April


Google Scholar : https://tinyurl.com/7bzmu39j

Scribd : https://tinyurl.com/3erfww3c

DOI : https://doi.org/10.38124/ijisrt/25apr1334

Google Scholar

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Note : Google Scholar may take 15 to 20 days to display the article.


Abstract : Water quality remains a critical global issue, affecting health, ecosystems, and economies. The challenge of ensuring clean and safe water has intensified in the 21st century, aligning with Sustainable Development Goal (SDG) 6, which advocates for universal access to clean water and sanitation. SDG 12 further emphasizes responsible consumption and production, urging the development of sustainable, affordable solutions for environmental protection. In response, this study developed an affordable Water Quality Management Device utilizing date pits for filtration and a Raspberry Pi Pico for real-time monitoring. Using an experimental, quantitative approach, the device accurately measured pH, turbidity, and TDS, facilitating timely detection of contamination. Results demonstrated a significant reduction in contaminants, from 40.47 g/L to 23.87 g/L, and high accuracy with average discrepancies of 0.04 for pH, 0.03 NTU for turbidity, and 0.04 g/L for TDS. These findings support the device’s effectiveness and potential for application in low- resource settings. Future improvements include enhancing the filter design, using better absorbents, and integrating disinfection features.

Keywords : Date Pits, Raspberry Pi Pico, Water Quality Management Device, Water Quality, Water Quality Issues

References :

  1. Ahsan, A., Erabee, I., Nazrulm, F., & Imteaz, M. (2023). Adsorption process efficiency of activated carbon from date pits in removing pollutants from dye wastewater. Membrane Water Treatment, 14(4), 163-173. https://doi.org/10.12989/mwt.2023.14.4.163
  2. Arhin, E., Osei, J., Anima, P., Afari, P., & Yevugah, L. (2023). The pH of drinking water and its human health implications: a case of surrounding communities in the Dormaa central municipality of Ghana. Journal Healthcare Treatment Development, 41, 15–26. https://doi.org/10.55529/jhtd.41.15.26
  3. Bialowas, S., Reshetkova, A., & Szyszka, A. (2021). Experimental design. Experimental Design and Biometric Research Toward Innovations, 9-35.  https://doi.org/10.18559/978-83-8211-079-1/I1
  4. Boyd, C. (2020). Suspended solids, color, turbidity, and light. Water Quality, (119-133). https://doi.org/10.1007/978-3-030-23335-8_6
  5. Dewangan, S., Toppo, D., & Kujur, A. (2023). Investigating the impact of pH Levels on water quality: an experimental approach. International Journal For Research in Applied Science and Engineering Technology, 11(9). https://doi.org/10.22214/ijraset.2023.55733
  6. Evaristo, J., Jameel, Y., Tortajada, C., & Wang, R. (2023). Water woes: the institutional challenges in achieving SDG 6. Sustainable Earth Reviews, 6(13), 1-9. https://doi.org/10.1186/s42055-023-00067-2
  7. Ezugwu, M. & Akhimien, F. (2022). Review of the effects of water characteristics and quality on human health. International Journal of Current Science Research and Review, 5(3). https://doi.org/10.47191/ijcsrr/V5-i3-09
  8. Hidayana, E., Setiawan, E., & Juniani, A. (2024). Classification of water quality based on dissolved solids and turbidity parameters with the utilization of total dissolved solids sensor and turbidity sensor. Journal of Soft Computing Exploration, 5(3), 231-239. https://doi.org/10.52465/joscex.v5i3.376
  9. Hossain, M., Waly, M., Singh, V., & Sequeira (2014). Chemical Composition of Date-Pits and Its Potential for Developing Value-Added Product - a Review. Polish Journal of Food and Nutrition Sciences, 64(4), 215-226. https://doi.org/10.2478/pjfns-2013-0018
  10. Hussain, M., Semreen, M., Shanableh, A., Khattak, M., Saadoun, I., Ahmady, I., Mousa, M., Darwish, N., Radeef, W., & Soliman, S. (2019). Phenolic composition and antimicrobial activity of different Emirati date (Phoenix dactylifera L.) pits: A Comparative Study. Plants, 8(11), 497. https://doi.org/10.3390/plants8110497
  11. Jahan, S. & Singh, A. (2023). Causes and impact of industrial effluents on receiving water bodies: a review. Malaysian Journal of Science and Advanced Technology, 3(2), 111-121. https://doi.org/10.56532/mjsat.v3i2.144
  12. Jamlos, M., Subramaniam, S., Mustafa, W., Zulkarnain, S., & Idrus, S. (2023). Water quality monitoring system using Raspberry Pi. AIP Conference Proceedings, 2608(1). https://doi.org/10.1063/5.0129035
  13. Leziart, T., Rochere, P., Cheswick, R., & Jarvis, P. (2019). Effect of turbidity on water disinfection by chlorination with the emphasis on humic acids and chalk. Environmental Technology, 40(13), 1–24. https://doi.org/10.1080/09593330.2019.1585480
  14. Marques, G. & Pitarma, R. (2020). A cost-effective real-time monitoring system for water quality management based on Internet of Things. Springer, 323, 312–323. https://doi.org/10.1007/978-3-030-51005-3_26
  15. Miller, M., Kisiel, A., Lech, D., Durlik, I., & Miller, T. (2023). IoT in water quality monitoring–are we really here? Sensors, 23(2), 960. https://doi.org/10.3390/s23020960
  16. Obiri, N., Maina, C., & Kiragu, H. (2021). A raw water quality monitoring system using wireless sensor networks. International Journal of Computer Applications, 174(21), 35-42. https://doi.org/10.5120/ijca2021921113
  17. Ojha, M. & Sikka, R. (2021). An overview on applications of microcontroller. International Journal of Innovative Research in Engineering & Management, 8(6).  https://doi.org/10.55524/ijirem.2021.8.6.87
  18. Pushpalatha, N., Sreeja, V., Karthik, R., & Saravanan, G. (2022). Total Dissolved Solids and their removal techniques. International Journal of Environmental Sustainability and Protection, 2(2), 13–30. https://doi.org/10.35745/ijesp2022v02.02.0002
  19. Rambabu, K., Govindan, B., Banat, F., & Velu, S. (2019). Date pits activated carbon for divalent lead ions removal. Journal of Bioscience and Bioengineering, 128(1). https://doi.org/10.1016/j.jbiosc.2018.12.011
  20. Rana, J., Gutierrez, P., & Oldroyd, J. (2021). Quantitative methods. Global Encyclopedia of Public Administration, Public Policy, and Governance, 1-6. https://doi.org/10.1007/978-3-319-31816-5_460-1
  21. Real, J., Dela Cruz, M., Fortes, M., Reyes, J., Tiangco, R., Soriano, E., & Felicitas, J. (2023). The creation of a face mask detecting alarm system with the use of Raspberry Pi as a component. International Journal of New Technology and Research, 9(3). https://doi.org/10.31871/IJNTR.9.3.4
  22. Real, J., Manaois, R., Barbacena, S., & Palabrica, M. (2021). The use of Arduino interface and date palm (Phoenix dactylifera) seeds in making an improvised air ionizer-purifier. International Journal for Research in Applied Science & Engineering Technology, 9(3). https://doi.org/10.22214/ijraset.2021.33187
  23. Rosima, A., Ilagan, A., Gloria, T., Lecaros, J., Mamarlao, Z., Billanes, I., Nunag, I., & Mendoza, M. (2024). The utilization of date palm (Phoenix dactylifera) leaf fiber as a main component in making an improvised water filter. International Journal of Innovative Science and Research Technology, 9(4). https://doi.org/10.38124/ijisrt/IJISRT24APR1189
  24. Saalidong, B., Aram, S., Otu, S., & Lartey, P. (2022). Examining the dynamics of the relationship between water pH and other water quality parameters in ground and surface water systems. PLoS ONE, 17(1), e0262117. https://doi.org/10.1371/journal.pone.0262117
  25. Sahoo, D. & Anandhi, A. (2023). Conceptualizing turbidity for aquatic ecosystems in the context of sustainable development goals. Environmental Science, 2(2). https://doi.org/10.1039/d2va00327a
  26. Sezer, N., Evis, Z., & Koc, M. (2018). Management of desalination brine in Qatar and the GCC countries. University of Maribor Press. https://doi.org/10.18690/978-961-286-053-0.11
  27. Srivastava, S., Verma, A., & Saxena, N. (2021). Smart water quality monitoring system. International Advanced Research Journal in Science, Engineering and Technology, 8(11). https://doi.org/10.17148/IARJSET.2021.81103
  28. Surkatti, R., Ibrahim, M., & El-Naas, M. (2021). Date pits activated carbon as an effective adsorbent for water treatment. Sorbents Materials for Controlling Environmental Pollution, 135-161.  https://doi.org/10.1016/B978-0-12-820042-1.00007-9
  29. Tariq, H. & Sharma, A. (2017). Impact of total dissolved solids in drinking water on nutrient utilisation and growth performance of Murrah buffalo calves. Livestock Science, 198. https://doi.org/10.1016/j.livsci.2017.02.002
  30. Yehia, H. & Said, S. (2021). Drinking water treatment: pH adjustment using natural physical field. Journal of Biosciences and Medicines, 9(6), 55–66. https://doi.org/10.4236/jbm.2021.96005
  31. Zukhruf, H., Elmi, H., Edy, S., & Juniani, A. (2024). Utilizing Total Dissolved Solids (TDS) sensor for dissolved solids measurement in the water. JISO Journal of Industrial and Systems Optimization, 7(1), 22-30. https://doi.org/10.51804/jiso.v7i1.22-30Arhin, E., Osei, J., Anima, P., Afari, P., & Yevugah, L. (2023). The pH of drinking water and its human health implications: a case of surrounding communities in the Dormaa central municipality of Ghana. Journal Healthcare Treatment Development, 41, 15–26. https://doi.org/10.55529/jhtd.41.15.26

Water quality remains a critical global issue, affecting health, ecosystems, and economies. The challenge of ensuring clean and safe water has intensified in the 21st century, aligning with Sustainable Development Goal (SDG) 6, which advocates for universal access to clean water and sanitation. SDG 12 further emphasizes responsible consumption and production, urging the development of sustainable, affordable solutions for environmental protection. In response, this study developed an affordable Water Quality Management Device utilizing date pits for filtration and a Raspberry Pi Pico for real-time monitoring. Using an experimental, quantitative approach, the device accurately measured pH, turbidity, and TDS, facilitating timely detection of contamination. Results demonstrated a significant reduction in contaminants, from 40.47 g/L to 23.87 g/L, and high accuracy with average discrepancies of 0.04 for pH, 0.03 NTU for turbidity, and 0.04 g/L for TDS. These findings support the device’s effectiveness and potential for application in low- resource settings. Future improvements include enhancing the filter design, using better absorbents, and integrating disinfection features.

Keywords : Date Pits, Raspberry Pi Pico, Water Quality Management Device, Water Quality, Water Quality Issues

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe