Zeolite-Decorated Triboelectric Sensors for Heavy Metal Contaminant Detection
Environmental contamination by heavy metals has become a major health threat, exacerbated by rapid industrialization, thereby creating an urgent demand for highly efficient and sensitive detection devices. In this study, we introduce a highly sensitive triboelectric nanosensor (TENS) based on β-zeolite for multianalytic detection of heavy metal ions. β-Zeolite was spin-coated onto an indium tin oxide (ITO)-coated glass substrate, serving as the tribo-positive layer, while PDMS acted as the tribo-negative layer for self-powered triboelectric sensing signals. The fabricated triboelectric sensor was characterized by an open-circuit voltage of 18.3 V, short-circuit current of 306 nA, and a maximum power density of 602 nW cm–2 at a resistance of 6 MΩ. Notably, the TENS demonstrated excellent sensitivity in detecting Cd2+ (0.3302 ppm–1) and Hg2+ (0.216 ppm–1) within a detection range of 0.01 to 50 ppm, as well as high selectivity for Cd2+, Hg2+, and Pb2+ ions apart from alkali ions. This straightforward and cost-effective approach to fabricating highly sensitive and selective β-zeolite-based TENSs presents a promising pathway for advancing heavy metal-contaminant detection technologies.
Authors
- Zong‐Hong Lin (ORCID: https://orcid.org/0000-0002-1793-7858)
- Rayyan Ali Shaukat (ORCID: https://orcid.org/0000-0003-1822-2077)
- Ahmed Mahfuz Tamim (ORCID: https://orcid.org/0000-0001-9922-4853)
- Chang Kyu Jeong (ORCID: https://orcid.org/0000-0001-5843-7609)
- Geon‐Tae Hwang (ORCID: https://orcid.org/0000-0001-6151-3887)
- Han Eol Lee (ORCID: https://orcid.org/0000-0003-2866-5947)
- Hyunseung Kim (ORCID: https://orcid.org/0000-0003-2805-0053)
- Kyoungsoo Kim (ORCID: https://orcid.org/0000-0002-2042-0913)
- Anjae Cha
Institutions
- National Taiwan University (TW)
- Luleå University of Technology (SE)
- National Tsing Hua University (TW)
- Machine Science (US)
- Jeonbuk National University (KR)
- Pukyong National University (KR)
Publication Details
- Journal
- ACS Applied Electronic Materials
- Published
- 2025-04-03
- DOI
- https://doi.org/10.1021/acsaelm.5c00136
- Citations
- 5
- Primary Topic
- Gas Sensing Nanomaterials and Sensors
- Type
- article
- Field-Weighted Citation Impact
- 3.65
Funders
- Jeonbuk National University