A label-free impedimetric strategy using interdigitated electrodes for tetracycline detection in Milk

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Authors: Son Hai Nguyen, Huy Quang Nguyen, Mai Thi Tran
Cited by: 1
References: 32

Abstract

The extensive use of tetracycline in livestock production has resulted in residues in dairy products, necessitating analytical methods that are accurate, robust, and compatible with complex food matrices. This work presents a label-free, non-enzymatic impedimetric sensor based on interdigitated electrodes (IDEs) for quantitative tetracycline detection in milk. Electrochemical impedance spectroscopy is used to monitor interfacial charge-transfer processes, emphasizing practical analytical translation rather than the development of new nanomaterials. The IDE-based sensor exhibits a signal-on response, with charge-transfer resistance decreasing monotonically as tetracycline concentration increases. Using Nernst-type linearization, the sensor achieves a linear range of 62.5-1000 nM, with limits of detection and quantification of 2.47 nM and 8.23 nM, respectively. High accuracy in spiked milk samples (relative error < 5%), strong matrix tolerance, good analytical discrimination, reproducibility, and stability demonstrate the sensor's practical potential for routine tetracycline residue screening in dairy products.

Fields of Study & Subjects

Biosensors and Analytical Detection Electrochemical sensors and biosensors Advanced biosensing and bioanalysis techniques

Publication details

Journal / source
Food Chemistry X
Publisher
Elsevier BV
Volume
37
Pages
104171–104171
Publication date
1 July 2026
Language
EN