Evidence map›Paper›PMID 39520087›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Real-Time Wireless Detection of Heavy Metal Ions Using a Self-Powered Triboelectric Nanosensor Integrated with an Autonomous Thermoelectric Generator-Powered Robotic System.

Yan-Tsz Huang, Arshad Khan, Anindita Ganguly, Kuldeep Kaswan, Sreerag Suresh, Yu-Ying Cheng, Kuan-Ming Lee, Jui-Han Yu, Zong-Hong Lin

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Self-Powered Sensors for Environmental Monitoring.Nanomaterials (Basel, Switzerland) · 2026
    Review
  4. 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

9 authors.

Yan-Tsz HuangDepartment of Biomedical Engineering, National Taiwan University, Taipei, 10167, Taiwan.
Arshad KhanDepartment of Biomedical Engineering, National Taiwan University, Taipei, 10167, Taiwan.
Anindita GangulyDepartment of Biomedical Engineering, National Taiwan University, Taipei, 10167, Taiwan.
Kuldeep KaswanDepartment of Biomedical Engineering, National Taiwan University, Taipei, 10167, Taiwan.
Sreerag SureshDepartment of Biomedical Engineering, National Taiwan University, Taipei, 10167, Taiwan.
Yu-Ying ChengDepartment of Biomedical Engineering, National Taiwan University, Taipei, 10167, Taiwan.
Kuan-Ming LeeDepartment of Biomedical Engineering, National Taiwan University, Taipei, 10167, Taiwan.
Jui-Han YuDepartment of Biomedical Engineering, National Taiwan University, Taipei, 10167, Taiwan.
Zong-Hong LinDepartment of Biomedical Engineering, National Taiwan University, Taipei, 10167, Taiwan.ORCID https://orcid.org/0000-0002-1793-7858

Funding

National Science and Technology Council 113-2628-E-002-010-MY3National Science and Technology Council 113-2636-E-002-002National Science and Technology Council 113-2923-E-002-014-MY2
6 · The paper itself

Abstract

The integration of the Internet of Things (IoT) with advanced sensing technologies is transforming environmental monitoring and public health protection. In this study, a fully self-powered and automated chemical sensing system is developed and integrated with a robotic hand for "touch and sense" detection of toxic heavy metal ions (Pb

Indexed as

heavy‐metal ionsintelligent monitoringrobotic handself‐poweredthermoelectric generatortriboelectric nanosensor

Identifiers

PMID39520087
PMCPMC12199580

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.