Waste polyethylene-coated fabrics for dual-mode interfaces triboelectrification for self-powered sensors
• Recycled polyethylene-coated waste cotton textiles were repurposed to fabricate dual-mode TENGs • The TENG enabled 98.4% accurate real-time motion monitoring using ANN and effectively detected milk adulteration. • Promotion of low cost fabrication by simple immersion method was used to prepare hydrophobic textiles • TENG successfully power up LEDs and charge capacitors. The reuse of waste cotton textiles and coating them with recycled polyethylene provides a route to improve environmental sustainability, reducing our landfill burden and supporting the circular economy through effective implementation of the 3Rs: Reduce, Reuse, and Recycle. This approach extends material life and minimizes resource consumption. This study presents a sustainable strategy for energy harvesting and sensor applications by repurposing worn-out cotton textiles that are coated with recycled polyethylene via a simple immersion method. The modified textiles are integrated into two triboelectric nanogenerator (TENG) configurations: a solid–solid TENG (S–S TENG) and a liquid–solid TENG (L–S TENG). The S–S TENG, paired with a polydimethylsiloxane (PDMS) elastomer, achieves a peak output of 250 V, 1.01 µA, and a power output of 83.7 µW at 2 Hz when subject to a 5 N compression. The device exhibits long-term stability and charges a 10 µF capacitor to 3.3 V, with sufficient energy to power light-emitting diodes (LEDs). For the L–S TENG, deionised water droplets interacting with the polyethylene-coated surface generate up to 45 nW for a 50 MΩ load, with a saturated charge of 1.3 nC. When used as a sensor, the device is employed in real-time motion tracking, integrated with an artificial neural network, and in milk adulteration detection. These results demonstrate a low-cost, flexible, and eco-friendly platform for multifunctional energy harvesting and self-powered sensing, advancing circular economy principles and enabling new applications in healthcare, food safety, and wearable electronics.
Authors
- Mohamed Ahmed Belal (ORCID: https://orcid.org/0000-0001-6903-0820)
- Swati Panda (ORCID: https://orcid.org/0000-0002-4367-6452)
- Hamideh Khanbareh (ORCID: https://orcid.org/0000-0001-6055-4943)
- Sugato Hajra (ORCID: https://orcid.org/0000-0002-2049-4509)
- Chris Bowen (ORCID: https://orcid.org/0000-0002-5880-9131)
- Basanta K. Panigrahi (ORCID: https://orcid.org/0000-0002-1761-7643)
- Jaesok Yu (ORCID: https://orcid.org/0000-0001-8157-1718)
- Hoe Joon Kim (ORCID: https://orcid.org/0000-0003-1180-7830)
- Kushal Ruthvik Kaja (ORCID: https://orcid.org/0009-0000-7230-4925)
- Sangwoo Nam (ORCID: https://orcid.org/0009-0002-8418-0522)
- Phakkhananan Pakawanit (ORCID: https://orcid.org/0009-0000-1942-4733)
Institutions
- Siksha O Anusandhan University (IN)
- Daegu Gyeongbuk Institute of Science and Technology (KR)
- Synchrotron Light Research Institute (TH)
- University of Bath (GB)
Publication Details
- Journal
- Results in Engineering
- Published
- 2025-09-05
- DOI
- https://doi.org/10.1016/j.rineng.2025.107111
- Citations
- 14
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 9.44
Funders
- National Research Foundation of Korea