Developing a Portable Spectrometer to Detect Chemical Contaminants in Irrigation Water

Author:

Zainurin Siti Nadhirah1,Wan Ismail Wan Zakiah1ORCID,Wan Azlan Wan Aina Nadhirah12,Zainul Ariffin Khairul Nabilah1,Wan Ahmad Kamil Wan Maryam3ORCID

Affiliation:

1. Advanced Devices and System, Faculty of Engineering and Built Environment, Universiti Sains Islam Malaysia, Nilai 71800, Negeri Sembilan, Malaysia

2. MECIP Global Engineers Sdn Bhd, Persiaran Guntong, Kerteh 24300, Terengganu, Malaysia

3. School of Physics, Universiti Sains Malaysia, Minden 11800, Pulau Pinang, Malaysia

Abstract

Water pollution is a critical issue since it can severely affect health and the environment. The purpose of the study is to develop a portable spectrometer (ESP32-based spectrometer) to detect chemical contaminants in irrigation water by observing the light absorbance of contaminants. ESP32 and a light sensor (photodiode) were respectively, used as the main controller and detector of the portable spectrometer. It was developed based on optical dispersion and Beer–Lambert law theory. The light absorbance of different types of contaminants was displayed in a Blynk application for real-time monitoring. The samples were also tested using a lab-based spectroscopy method, ultraviolet-visible (UV-Vis) spectrometer. The spectral range of the measurement is from 350 nm to 700 nm and the standard error of the ESP32-based spectrometer is from 0.01 to 0.05. Five water samples were tested, consisting of ammonium nitrate, organic pesticide, zinc oxide and two different reservoirs used for irrigation. The absorption peaks of the ammonium nitrate and organic pesticide are 363 nm and 361 nm, respectively. Zinc oxide shows the absorbance peak at 405 nm, whereas both reservoirs show absorbance peaks lie in the region from 300 nm to 370 nm. Therefore, this study shows that different types of contaminants can absorb light only at specific wavelength regions by considering the concentration of samples. The developed ESP32-based spectrometer can be applied for on-site water quality monitoring as it is portable, light, simple and can be monitored in real time using multiple devices.

Funder

Ministry of Higher Education

Universiti Sains Islam Malaysia

Publisher

MDPI AG

Subject

Plant Science,Agronomy and Crop Science,Food Science

Reference36 articles.

1. Food and Agriculture Organization of the United Nations (2023, April 10). Water for Sustainable Food and Agriculture: A report produced for the G20 Presidency of Germany. Available online: https://www.fao.org/3/i7959e/i7959e.pdf.

2. Food and Agriculture Organization of the United Nations (2023, April 10). The State of the World’s Land and Water Resources for Food and Agriculture 2021—Systems at Breaking Point. Available online: https://www.fao.org/land-water/solaw2021/en/.

3. Ciaramella, B.R., Corinzia, S.A., Cosentino, S.L., and Testa, G. (2022). Phytoremediation of Heavy Metal Contaminated Soils Using Safflower. Agronomy, 12.

4. Hernández-Pitalúa, D., Hernández-Orduña, M.G., Martínez-Escalante, G.A., and Lagunes-Gómez, I. (2022). Influence of Lead (Pb) and Its Relationship with the pH of Water on the Growth of Creole Maize (Zea mays L.). Agriculture, 12.

5. Potential of rice straw biochar, sulfur and ryegrass (Lolium perenne L.) in remediating soil contaminated with nickel through irrigation with untreated wastewater;Hashem;PeerJ,2020

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