Evidence map›Paper›PMID 42884476›Full record

ReviewSensors (Basel, Switzerland)2026

A Comprehensive Review on Self-Powered Wearable Photonic Sensors: Materials, Photophysics, and System Integration.

Nikolay L Kazanskiy, Nikita V Golovastikov, Svetlana N Khonina

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Nikolay L KazanskiyImage Processing Systems Institute, NRC "Kurchatov Institute", 151 Molodogvardeyskaya, Samara 443001, Russia.ORCID 0000-0002-0180-7522
Nikita V GolovastikovImage Processing Systems Institute, NRC "Kurchatov Institute", 151 Molodogvardeyskaya, Samara 443001, Russia.ORCID 0000-0002-0123-252X
Svetlana N KhoninaImage Processing Systems Institute, NRC "Kurchatov Institute", 151 Molodogvardeyskaya, Samara 443001, Russia.ORCID 0000-0001-6765-4373

Funding

Ministry of Science and Higher Education of the Russian Federation FSSS-2024-0016National Research Center "Kurchatov Institute"
6 · The paper itself

Abstract

Self-powered wearable photonic sensors enable energy-autonomous operation by integrating optical sensing, energy harvesting, and signal transduction within a unified platform. These systems exploit photophysical mechanisms such as photovoltaic, photogating, and triboelectric effects to convert ambient or body-derived energy into electrical signals while simultaneously performing sensing. Advances in hybrid semiconductors, two-dimensional materials, and nanocomposites have significantly improved light absorption, carrier transport, and mechanical compliance, enabling integration into flexible and textile-based wearable formats. Device architectures have evolved from simple junctions to heterostructured and tandem configurations that enhance spectral selectivity and energy utilization under variable illumination. However, reliable operation under low-intensity and dynamically changing conditions remains a key challenge, particularly in balancing sensing performance with energy autonomy. This review analyzes the interplay between materials, photophysical mechanisms, device architectures, and system-level design, with emphasis on energy harvesting-sensing co-optimization. Challenges related to mechanical stability, signal reliability, and real-world deployment are discussed, alongside emerging solutions based on adaptive photonic systems and intelligent data processing. These insights provide a framework for next-generation wearable photonic platforms for healthcare, environmental monitoring, and human-machine interfaces.

Indexed as

energy harvesting and autonomyflexible and stretchable devicesphotophysical sensing mechanismsself-powered photonic sensorswearable optoelectronics

Identifiers

PMID42884476
PMCPMC13667529

What OpenQuestion holds

Textmetadata
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.