Evidence map›Paper›PMID 39789175›Full record

ArticleBiomedical microdevices2025

Wireless power-up and readout from a label-free biosensor.

Hassan Raji, Pengfei Xie, Muhammad Tayyab, Zhuolun Meng, Seyed Reza Mahmoodi, Mehdi Javanmard

Abstract read
In one paragraph

Article in Biomedical microdevices, 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. Review
  3. Article
  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

6 authors.

Hassan RajiDepartment of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, 08854, USA. hassan.raji@rutgers.edu.
Pengfei XieDepartment of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, 08854, USA.
Muhammad TayyabDepartment of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, 08854, USA.
Zhuolun MengDepartment of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, 08854, USA.
Seyed Reza MahmoodiDepartment of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, 08854, USA.
Mehdi JavanmardDepartment of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, 08854, USA.

Funding

Defense Sciences Office, DARPA W911NF-20-1-0295
6 · The paper itself

Abstract

Wearable and implantable biosensors have rapidly entered the fields of health and biomedicine to diagnose diseases and physiological monitoring. The use of wired medical devices causes surgical complications, which can occur when wires break, become infected, generate electrical noise, and are incompatible with implantable applications. In contrast, wireless power transfer is ideal for biosensing applications since it does not necessitate direct connections between measurement tools and sensing systems, enabling remote use of the biosensors. In addition, wireless sensors eliminate the need for a battery or energy harvester, reducing the size of the sensor. As far as we are aware, this is the first report ever describing a new method for wireless readout of a label-free electronic biosensor for detecting protein biomarkers. Our results reveal that we are able to successfully detect target protein and corresponding antibodies within this wireless setup. We are able to distinguish target protein in purified samples from a blank PBS sample as a negative control by tracking gradual changes in impedance at the input of the transmitter (P-value = 0.00788). We also demonstrate real-time wireless quantification of cytokines within rheumatoid arthritis patient serum samples (P-value = 0.00891). A Fine Gaussian Support Vector Machine is also used to differentiate protein from negative controls with the highest accuracy from a dataset of 54 experiments.

Indexed as

Biosensing TechniquesWireless TechnologyBiomarkersCytokinesEquipment DesignHumansSupport Vector MachineBiomarkersCytokinesBiosensorsElectrochemical Impedance Spectroscopy (EIS)Label-freeProtein detectionRheumatoid arthritisWireless Power Transfer (WPT)

Identifiers

PMID39789175
PMCPMC11717847

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.