Evidence map›Paper›PMID 41048822›Full record

ArticleProceedings of IEEE Sensors. IEEE International Conference on Sensors2024

Fully-Printed Sensor Based Extended Gate Field Effect Transistors for Wireless Monitoring of Potassium and Ammonium Ions.

Munia Ferdoushi, Mohammad Shafiqul Islam, Wenxin Cai, Sandra Lara Galindo, Md Farhad Hassan, Yasser Khan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings of IEEE Sensors. IEEE International Conference on Sensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Munia FerdoushiMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California.
Mohammad Shafiqul IslamMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California.
Wenxin CaiDepartment of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California.
Sandra Lara GalindoAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, California.
Md Farhad HassanMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California.
Yasser KhanMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California.

Funding

Novel multimodal neural, physiological, and behavioral sensing and machine learning for mental statesR61MH135407 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Maryam Shanechi · 2024 to 2026
$2.8M
NIMH NIH HHS R61 MH135407
6 · The paper itself

Abstract

This paper presents an extended gate field effect transistor based ion sensing platform utilizing flexible printed ion selective electrodes. A custom-printed circuit board with a Bluetooth-enabled microcontroller module enables wireless monitoring of the transistor's transfer characteristics modulated by the ion concentration in the target solution. The utilization of printing techniques such as inkjet printing and direct 3D writing provide the scope for facile and cost-effective fabrication. The system has been utilized for remote monitoring of Potassium and Ammonium ions with ideal Nernstian response, high sensitivity, and selectivity. This work provides a promising path for real-time and continuous ion monitoring which has crucial implications for health, industry, and environmental applications.

Indexed as

Extended gate FETIon Selective MembranePrinted SensorWireless

Identifiers

PMID41048822
PMCPMC12496015

What OpenQuestion holds

Textmetadata
LicenceTDM
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.