journal article·2026-05-22

Nature-Driven Biodegradable Composite Film-Based Triboelectric Nanogenerator for Self-Powered Sports Activity Monitoring Applications

S M Sohel Rana, Anamika Barua, M. Robiul Islam, Omar Faruk, Jae Yeong Park

ACS Applied Polymer Materials· Volume 8· Issue 10
Publisher page

Abstract

The integration of sustainable, nature-derived materials into triboelectric nanogenerators (TENGs) presents a transformative approach to eco-friendly energy harvesting for wearable technologies. Here, we introduce a highly tribo-positive composite film fabricated from agar and beetroot aimed at self-powered sports monitoring applications. The agar matrix forms a porous, mechanically robust hydrogel network, while beetroot-derived components increase the density of polar hydroxyl and carboxyl groups that can form strong dipoles or partially ionize during contact electrification; together with betanin pigments, these functionalities enhance electron-donating capability, surface polarity, charge trapping, and overall surface charge density through their synergistic interaction with the polymer matrix. The fabricated device demonstrates exceptional triboelectric performance, achieving a voltage of ∼380 V and a power density of ∼6 W m –2 under gentle mechanical excitation (4 Hz, 20 N), outperforming many synthetic polymer-based counterparts. The TENG attains an ultrahigh sensitivity of 14.4 V kPa –1 within the pressure range of 3–45 kPa, demonstrating its potential uses in monitoring human mobility as a self-powered pressure sensor. We demonstrate a fully biodegradable TENG using beetroot-agar films, with controlled degradation using diluted PBS (phosphate-buffered saline) solution at ambient temperature, eliminating electronic waste. Leveraging its inherent biodegradability, flexibility, and sensitivity, the agar-beetroot TENG is seamlessly integrated into self-powered wearable sensors for real-time monitoring of athletic movements, including walking, running, clicking, and jumping. Moreover, the TENG exhibits a motion detection accuracy of 99.24%, as determined by a deep learning model. This work underscores the potential of biosourced, waste-derived composites as high-performance tribo-positive materials, advancing the development of green electronics for next-generation wearable systems in sports biomechanics, healthcare, and IoT applications.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Temporomandibular Joint Disorders

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electrical and Electronic Engineering

Noakhali Science and Technology University

Center for Energy and Sensor Innovation

Department of Electronic Engineering

Kwangwoon University

Advanced Sensor and Energy Research (ASER) Laboratory

Funding

Kwangwoon University · Ministry of Science and Technology, Government of the People’s Republic of Bangladesh · National Research Foundation of Korea

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