Laser-induced graphene electrochemical sensor for quantitative detection of phytotoxic aluminum ions (Al³⁺) in soils extracts
Abstract
Aluminum in its Al3+ form is a metal that inhibits plant growth, especially in acidic soils (pH < 5.5). Rapid and accurate quantitative detection of Al3+ in agricultural soils is critical for the timely implementation of remediation strategies. However, detecting metal ions requires time-consuming preparation of samples, using expensive instrumentation and non-portable spectroscopic techniques. As an alternative, electrochemical sensors offer a cost-effective and minimally invasive approach for in situ quantification of metal ions. Here, we developed and validated an electrochemical sensor based on bismuth-modified laser-induced graphene (LIG) electrodes for Al3+ quantitative detection in a range relevant to agriculture (1–300 ppm). Our results show a linear Al3+ detection range of 1.07–300 ppm with a variation coefficient of 5.3%, even in the presence of other metal ions (Pb2+, Cd2+, and Cu2+). The sensor offers a limit of detection (LOD) of 0.34 ppm and a limit of quantification (LOQ) of 1.07 ppm. We compared its accuracy for soil samples with pH < 4.8 to within 89–98% of spectroscopic methods (ICP-OES) and potentiometric titration. This technology's portability, easy to use, and cost-effectiveness make it a promising candidate for in situ quantification and remediation of Al3+ in agricultural soils and other complex matrices.
Copyright and License
© The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Acknowledgement
This work was partially funded by the OMICAS Alliance (Optimización Multiescala In-silico de Cultivos Agrícolas Sostenibles), part of the Scientific Colombia ecosystem, sponsored by the World Bank, the Colombian Ministry of Science, Technology, and Innovation (MINCIENCIAS), ICETEX, the Colombian Ministry of Education and the Colombian Ministry of Commerce, Industry and Tourism (under Grant id: FP44842-217-2018, award ID: 792-61187).
Funding
World Bank PACES program, P160446.
Contributions
A.J.B. and D.P.V. conceived this work. V.R. performed electrochemical experiments, J.D.R. and E.H.R. contributed to S.E.M. and E.D.X. characterization. T.G. contributed to soil extraction protocol. O.I. and M.D.S. contributed to characterize reference soils. V.R. and A.J.B. wrote the initial draft. All authors contributed to the analysis and writing and approved the final version of this manuscript.
Data Availability
The Supporting Information is available free of charge on the Journal’s website. Supplementary information Al3+.pdf. The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
Conflict of Interest
The authors declare no competing interests.
Files
41598_2024_Article_56212.pdf
Additional details
Identifiers
- PMCID
- PMC10923804
Funding
- Ministerio de Ciencia, Tecnología e Innovación
- 792-61187
- World Bank
- P160446