A Dual‐Mode On‐Chip 3D‐Printed Nanoengineered Platform for Extraction and Electrochemical Detection of Enrofloxacin

A magnetic molecularly imprinted polymer (MMIP) is synthesized for the development of a highly selective and sensitive electrochemical sensing platform targeting enrofloxacin (ENF). The micro-sized mesoporous core-shell MMIP structure is constructed with a magnetite core and an outer shell functionalized using 3-aminopropyltriethoxysilane (APTES) as the monomer. The synthesis is optimized and validated using a range of physical and electrochemical techniques. The sensor is designed with dual-mode functionality, integrating magnetic separation for efficient target extraction and electrochemical detection for precise quantification. A conventional electrode is modulated with multi-layer nano-functionalization to improve its analytical performance, while 3D-printed components ensure miniaturization, fabrication precision, and scalability. The resulting device exhibits a broad linear detection range from 100 pM to 10 mM (10<sup>-10</sup> to 10<sup>-2</sup> M), with an exceptionally low limit of detection (LOD) of 161 fM (1.61 × 10<sup>-13</sup> M). As ENF is recurrently administered to cattle, milk is used as a real sample to demonstrate the sensor's proof-of-application. Real sample analysis showed a high recovery rate (90.23% to 97.29%) with minimal matrix interference, confirming reliability in complex biological matrices. The platform demonstrates exceptional reproducibility and stability, offering a robust and scalable solution for environmental and food safety monitoring.

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Publication Details

Journal
Small
Published
2025-06-27
DOI
https://doi.org/10.1002/smll.202502880
Citations
5
Primary Topic
Analytical Chemistry and Sensors
Type
article
Field-Weighted Citation Impact
3.68

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article

A Dual‐Mode On‐Chip 3D‐Printed Nanoengineered Platform for Extraction and Electrochemical Detection of Enrofloxacin

Ratul Paul, Pranjal Chandra, Supratim Mahapatra, Ankur Singh
5 citations
Small
Analytical Chemistry and Sensors
3.68
article

A Dual‐Mode On‐Chip 3D‐Printed Nanoengineered Platform for Extraction and Electrochemical Detection of Enrofloxacin

Ratul Paul, Pranjal Chandra, Supratim Mahapatra, Ankur Singh
article en
5 citations

Abstract

A magnetic molecularly imprinted polymer (MMIP) is synthesized for the development of a highly selective and sensitive electrochemical sensing platform targeting enrofloxacin (ENF). The micro-sized mesoporous core-shell MMIP structure is constructed with a magnetite core and an outer shell functionalized using 3-aminopropyltriethoxysilane (APTES) as the monomer. The synthesis is optimized and validated using a range of physical and electrochemical techniques. The sensor is designed with dual-mode functionality, integrating magnetic separation for efficient target extraction and electrochemical detection for precise quantification. A conventional electrode is modulated with multi-layer nano-functionalization to improve its analytical performance, while 3D-printed components ensure miniaturization, fabrication precision, and scalability. The resulting device exhibits a broad linear detection range from 100 pM to 10 mM (10<sup>-10</sup> to 10<sup>-2</sup> M), with an exceptionally low limit of detection (LOD) of 161 fM (1.61 × 10<sup>-13</sup> M). As ENF is recurrently administered to cattle, milk is used as a real sample to demonstrate the sensor's proof-of-application. Real sample analysis showed a high recovery rate (90.23% to 97.29%) with minimal matrix interference, confirming reliability in complex biological matrices. The platform demonstrates exceptional reproducibility and stability, offering a robust and scalable solution for environmental and food safety monitoring.

SmallVol. 21(33)
Indian Institute of Technology BHU (IN), Banaras Hindu University (IN)
Department of Science and Technology, Ministry of Science and Technology, India, Council of Scientific and Industrial Research, India, Indian Institute of Technology (BHU) Varanasi
Zero hunger
Openalex Percentile: Top 6%
Analytical Chemistry and Sensors
3.68
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