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March 14, 2026Polymers and Polymer Composites0 citationsOpen Access

Coconut-coir modified with nanoparticles for flexible sensors and energy harvesting applications

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BMBismark MensahEKElsie Effah KaufmannIAIsaac Adyaye Aboagye

Key Points

  • The aim is to evaluate the effectiveness of coconut coir modified with nanoparticles for capacitive sensors and energy harvesting.
  • Fabricated eco-friendly capacitive sensors using coconut coir and modified nanoparticles.
  • Assessed sensitivity and voltage detection across various pressure ranges.
  • Evaluated the energy harvesting capability at elevated pressures.
  • Analyzed flexibility and durability over 2000 detection cycles.
  • Sensor I demonstrated the highest sensitivity with 0.68 kPa⁻¹ in the pressure range of 0.26∼0.44 kPa.
  • Ultra-sensitive voltage detection of 48.5 kPa⁻¹ recorded at 0∼0.17 kPa.
  • CN was effective for lower pressures, while sensor I outperformed at elevated pressures (0.087∼5.2 kPa).
  • All sensors maintained consistency and stability after 2000 cycles.

Abstract

Eco-friendly nanoparticles modified-coconut coir based capacitive sensors (C, CN, CI, CIN and I ) were fabricated. Compressive pressure led to a reduction in their thickness and lowered the frequencies to 49.8∼50.7Hz. In terms of resistance-pressure change, the sensor I generally recorded the best sensitivity (S), with the highest value (0.68kPa -1 , r 2 ∼0.9) obtained within 0.26∼0.44kPa ranges. Also, sensor I exhibited an ultra-sensitive voltage detection at all pressure ranges, with the highest value (48.5kPa -1 ) recorded at 0∼0.17kPa with a strong linearity (r 2 ∼0.998). In detection of capacitance, CN was very effective at lower pressure range; 0∼0.087kPa while sensor I outperformed CN as elevated pressure 0.087∼5.2kPa. Sensor I was also effective in energy harvesting analysis, especially at elevated pressures. In terms of flexibility study, the order of the absolute gage factor (GF) of the sensors was I (GF∼0.25, r 2 ∼0.995) > CN (GF∼0.084, r 2 ∼0.97) > C (GF∼0.082, r 2 ∼0.91) > CI (GF∼0.061, r 2 ∼0.94) > CIN (GF∼0.082, r 2 ∼0.91). The sensors exhibited consistency and stability even after 2000 cycles of detections, linked to the porous nature of the coir and the suitable elastic fatigue acrylic used. Thus, coconut coir waste has been demonstrated to meet green electronics and circular economy goals by enhancing the biodegradability of capacitive sensors.

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Cite This Study

Mensah et al. (2026) studied this question.

synapsesocial.com/papers/69b4fc0eb39f7826a300c9f0https://doi.org/10.1177/09673911261432252
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