Inkjet-Printed Sensors Powered by Wireless Power Transfer for Biomedical Monitoring: A Decade of Evidence — A Systematic Review

Read the full article See related articles

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

This article is not in any list yet, why not save it to one of your lists.
Log in to save this article

Abstract

Over the past ten years, inkjet-printed electronics have advanced quickly, making it possible to create flexible, biocompatible, and reasonably priced biomedical sensors that are appropriate for ongoing, covert physiological monitoring. Simultaneously, batteryless, ultra-thin, and very compliant biomedical systems have been made possible by wireless power transfer (WPT) technologies, such as inductive coupling, near-field communication (NFC), and radio-frequency (RF) energy harvesting. For next-generation wearable and implantable platforms that need mechanical softness, long-term stability, and continuous operation without heavy, inflexible batteries, the convergence of these two domains is very important. Ten years' worth of research on inkjet-printed sensors with wireless charging systems for biomedical monitoring is compiled in this systematic review (2015–2025). We created a structured Google Scholar search strategy utilizing Boolean operators, categorized keyword sets, predetermined inclusion and exclusion criteria, and methodical screening processes in accordance with PRISMA 2020 principles. In order to enable a variety of biomedical applications, such as biochemical sweat sensing, electrophysiology, wound monitoring, hydration detection, thermal mapping, and multimodal physiological surveillance, the analysis highlights significant developments in printable materials, fabrication techniques, sensing architectures, and WPT modalities. Significant obstacles still exist in the sector despite evident advancements, including restricted wireless power supply, mechanical deterioration under stress, ink instability, substrate–ink mismatch, biosafety concerns, and a lack of clinical validation or standardized testing. Hybrid additive manufacturing, sustainable and biodegradable printed materials, self-healing conductors, ultra-low-power electronics, multiparametric sensing arrays, and AI-driven signal interpretation are examples of emerging potential. All things considered, this analysis highlights the revolutionary potential of entirely batteryless, wirelessly powered, inkjet-printed biomedical systems and offers a thorough road map for bringing them closer to clinical-grade dependability and broad acceptance.

Article activity feed