Antibiotic Detection Technology Based on Molecularly Imprinted Polymer Sensors

Molecularly imprinted polymer (MIP) sensors, as an emerging molecular recognition technology, demonstrate tremendous application potential in the field of antibiotic detection. Using tetracycline as the research target, molecularly imprinted polymers with high selectivity were prepared using precipitation polymerization method, and an electrochemical sensor detection system was constructed. The sensor achieved a detection limit of 0.5 ng/mL for tetracycline, with a linear range of 1-1000 ng/mL, a selectivity factor of 6.6, and exhibited good stability and reproducibility. Compared with traditional HPLC-MS/MS methods, the detection time was reduced from 2-3 hours to 15 minutes, with costs reduced by more than 85%. This technology was successfully applied to the detection of tetracycline residues in milk, meat, and environmental water samples, and the detection capability for other antibiotics was validated, providing an effective technical means for food safety monitoring and environmental pollution assessment.

Institutions

Publication Details

Journal
Contemporary Education Frontiers
Published
2025-05-26
DOI
https://doi.org/10.18063/cef.v3i4.1032
Primary Topic
Diverse Scientific and Economic Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Antibiotic Detection Technology Based on Molecularly Imprinted Polymer Sensors

Contemporary Education Frontiers
Diverse Scientific and Economic Studies
article

Antibiotic Detection Technology Based on Molecularly Imprinted Polymer Sensors

article en

Abstract

Molecularly imprinted polymer (MIP) sensors, as an emerging molecular recognition technology, demonstrate tremendous application potential in the field of antibiotic detection. Using tetracycline as the research target, molecularly imprinted polymers with high selectivity were prepared using precipitation polymerization method, and an electrochemical sensor detection system was constructed. The sensor achieved a detection limit of 0.5 ng/mL for tetracycline, with a linear range of 1-1000 ng/mL, a selectivity factor of 6.6, and exhibited good stability and reproducibility. Compared with traditional HPLC-MS/MS methods, the detection time was reduced from 2-3 hours to 15 minutes, with costs reduced by more than 85%. This technology was successfully applied to the detection of tetracycline residues in milk, meat, and environmental water samples, and the detection capability for other antibiotics was validated, providing an effective technical means for food safety monitoring and environmental pollution assessment.

Contemporary Education FrontiersVol. 3(4)
Nanjing University of Information Science and Technology (CN)
Openalex Percentile: Top 37%
Diverse Scientific and Economic Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Antibiotic Detection Technology Based on Molecularly Imprinted Polymer Sensors · Contemporary Education Frontiers (2025) | TGRS Research Map | TGRS