Back to search

Article

Defect–Interface Engineering of Machine Learning-Enhanced Au–VSe2–MXene Nanocomposites with Tuned Electronic States for Trace Antibiotic Sensing

2026-04-17

Abstract excerpt

<title>Abstract</title> <p> Ensuring food safety requires engineered hybrid composites with hierarchical interfacial architectures capable of detecting trace antibiotics in complex food and environmental matrices. Here, we report an electrochemical sensing platform based on gold nanoparticle (AuNP)-decorated VSe <sub>2</sub> -MXene hybrid nanocomposite for on-site detection of furazolidone (FZD). The VSe <sub...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
e24d6ebe-065b-509c-8e68-4d6e70c6db13
DOI
10.21203/rs.3.rs-9218510/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Defect–Interface Engineering of Machine Learning-Enhanced Au–VSe2–MXene Nanocomposites with Tuned Electronic States for Trace Antibiotic SensingDOI 10.21203/rs.3.rs-9218510/v1
Select a neighboring publication to make it the new centre.