Evidence map›Paper›PMID 40180609›Full record

ArticleACS applied bio materials2025

Biocompatible OFETs for Selective and Real-Time Bacterial Detection Using BSA and Lysozyme Layers.

Po-Hsiang Fang, Guan-Xu Chen, Shuying Wang, Ching-Hao Teng, Wen-Chun Huang, Horng-Long Cheng, Wei-Yang Chou

Abstract read
In one paragraph

Article in ACS applied bio materials, 2025. 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

7 authors.

Po-Hsiang FangDepartment of Photonics, National Cheng Kung University, Tainan 70101, Taiwan.
Guan-Xu ChenDepartment of Photonics, National Cheng Kung University, Tainan 70101, Taiwan.
Shuying WangDepartment of Microbiology and Immunology, Institute of Basic Medical Sciences, College of Medicine, National Cheng Kung University, Tainan 70101, Taiwan.
Ching-Hao TengInstitute of Molecular Medicine, National Cheng Kung University, Tainan 70101, Taiwan.
Wen-Chun HuangInstitute of Molecular Medicine, National Cheng Kung University, Tainan 70101, Taiwan.
Horng-Long ChengDepartment of Photonics, National Cheng Kung University, Tainan 70101, Taiwan.ORCID 0000-0002-1631-2231
Wei-Yang ChouDepartment of Photonics, National Cheng Kung University, Tainan 70101, Taiwan.ORCID 0000-0001-7221-5762

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the realms of modern medicine and environmental monitoring, there is an escalating demand for bacterial detection technologies that are rapid, precise, and highly sensitive. Conventional methods, however, are often hindered by their time-intensive nature, procedural complexity, and reliance on specialized laboratory equipment. This study introduces an innovative approach utilizing bovine serum albumin (BSA) as the dielectric layer and lysozyme (LYZ) as the bacterial sensing layer in organic field-effect transistors (OFETs). The combination of BSA and LYZ enhances both biocompatibility and detection sensitivity, enabling precise differentiation between Gram-positive and Gram-negative bacteria. BSA not only stabilizes the electrical performance of the OFET but also offers biodegradability and water solubility, contributing to environmental sustainability. These biocompatible OFETs can accurately detect bacterial concentrations ranging from 10

Indexed as

Biocompatible MaterialsBiosensing TechniquesMuramidaseSerum Albumin, BovineTransistors, ElectronicAnimalsCattleMaterials TestingParticle SizeSurface PropertiesBiocompatible MaterialsMuramidaseSerum Albumin, Bovinebacterial sensinggram-positive and gram-negative bacteriaorganic field-effect transistors (OFETs)protein-based materialsreal-time monitoringspike measurement

Identifiers

PMID40180609
PMCPMC12015955

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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.