Evidence map›Paper›PMID 40628899›Full record

ArticleScientific reports2025

Advancing sustainable RF energy harvesting for wearable electronics with 2.45 GHz textile-printed rectennas.

J Tavares, J Lacik, P Pinho, Z Raida, H Alves

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

J TavaresINESC MN, Instituto Superior Técnico, Lisbon, Portugal. joana.tavares@inesc-mn.pt.
J LacikBrno University of Technoloy, Brno, Czech Republic.
P PinhoInstituto de Telecomunicações, Universidade de Aveiro, Aveiro, Portugal.
Z RaidaBrno University of Technoloy, Brno, Czech Republic.
H AlvesINESC MN, Instituto Superior Técnico, Lisbon, Portugal. helena.alves@inesc-mn.pt.

Funding

Fundação para a Ciência e a Tecnologia DFA/BD/4411/2020Fundação para a Ciência e a Tecnologia PCIF/SSO/0163/2019Fundação para a Ciência e a Tecnologia UIDB/50008/2020NextGenerationEU C632491900-00467021
6 · The paper itself

Abstract

The growth of IoT and wearable electronics demands sustainable energy solutions beyond short-lived, waste-generating batteries. RF energy harvesting offers a self-powered alternative by capturing ambient RF energy. However, implementing this technology on textile substrates remains challenging due to material incompatibility, ink toxicity, substrate porosity, and scalability constraints. This study addresses these challenges by developing optimized fabrication techniques for printed textile rectennas operating at 2.45 GHz. It focuses on conductive ink formulations tailored for textiles, scalable integration methods such as screen-printing and doctor blade techniques, and improved attachment methods for lumped components, ensuring full integration of a microstrip patch antenna and rectifier circuit onto fabric. The research systematically examines the impact of substrate porosity, ink adhesion, material losses, mechanical deformation, dielectric variability, and surface roughness on energy harvesting efficiency. Additionally, it promotes environmentally sustainable solutions by reducing reliance on volatile organic compounds (VOCs) and complex fabrication processes. Electromagnetic simulations and experimental validations confirm the rectenna's capability to harvest 2.4 GHz ISM band energy, despite challenges such as dielectric sensitivity and conductive ink losses. This work establishes a scalable, cost-effective framework for next-generation wearable and IoT applications, advancing flexible electronics and self-sustaining smart textiles.

Identifiers

PMID40628899
PMCPMC12238325

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.