A molecularly imprinted polymer-based electrochemical sensor for detection of colistin in milk

Abstract

Colistin, a peptide-based antibiotic is widely used as a last-resort therapeutic agent against multidrug-resistant Gram-negative bacterial infections. In addition, colistin is extensively used as a growth promoter in livestock. The indiscriminate use of colistin and widespread occurrence in food commodities, including milk and dairy products pose severe risk of antimicrobial resistance and toxicity in humans, as well as environmental contamination. Various analytical methods and immunosensors have been reported for the detection of colistin and its residues, however, reliable and sensitive analytical sensors for on-site detection of colistin in food matrices are not yet explored. Owing to the improved stability and sensitivity, molecularly imprinted polymer (MIP)-based electrochemical sensors have immense potential in point-of-care detection of colistin. In the present study, an MIP-based sensor has been developed for the detection of colistin in milk, where a polypyrrole-based MIP film was synthesized electrochemically on screen-printed gold electrode (AuSPE) using colistin as template. The electrode was characterized morphologically and electrochemically, and the developed sensor demonstrated selective detection of colistin in the range of 0.001-100 µg.mL-1, with an LOD of 0.23 ng.mL-1. The developed colistin sensor was validated using the spiked milk samples and the results were compared with standard LC-MS/MS method. This MIP-based approach offers significant potential for use by food industries and regulatory agencies for rapid colistin estimation to ensure food safety and human health.

Supplementary files

Article information

Article type
Paper
Submitted
19 Dec 2025
Accepted
17 Mar 2026
First published
17 Mar 2026

Anal. Methods, 2026, Accepted Manuscript

A molecularly imprinted polymer-based electrochemical sensor for detection of colistin in milk

A. K. Singh, S. Sharma, D. Verma, D. Tripathi, S. Sen Maiti, S. K. Sharma and S. Priya, Anal. Methods, 2026, Accepted Manuscript , DOI: 10.1039/D5AY02101D

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