Nano-MIP based SPR sensor for tetracycline analysis in milk sample

• A surface plasmon resonance (SPR) sensor has been developed using molecularly imprinted nanoparticles (MINps) for the real-time, sensitive, and in-situ detection of tetracycline (Tc) in food products. • The sensor demonstrates highly selective binding of Tc to the nanocavities on the SPR surface, ensuring accurate measurement of tetracycline levels. • The developed sensor achieved a limit of detection (LOD) of 0.45 mg/L for Tc in milk, outperforming the traditional HPLC method, which had an LOD of 0.55 mg/L. • The sensor displayed excellent selectivity for tetracycline over structurally similar antibiotics, such as oxytetracycline, ciprofloxacin, and amoxicillin, with selectivity coefficients of 5.54, 23.66, and 28.39, respectively. Recent advancements in sensor technology have enabled the detection of antibiotics in food, ensuring human safety. In this study, we developed a surface plasmon resonance (SPR) sensor based on molecularly imprinted nanoparticles (MINps) for the real-time, sensitive, and in-situ detection of tetracycline (Tc). Firstly, Tc-imprinted nanoparticles (Tc-MINps) were synthesized using microemulsion polymerization. Then, the Tc-MINps were coated onto a bare gold SPR chip to develop the Tc-MINps SPR sensor. The sensor's performance was evaluated by detecting Tc in aqueous solutions. The results demonstrated a highly selective binding of Tc to the nanocavities on the surface of the Tc-MINps SPR sensor. The relationship between Tc molecules and the SPR sensor was analyzed at 0.5–20 mg/L Tc concentrations (pH 5.0). The Langmuir isotherm model was identified as the most appropriate binding model, indicating monolayer adsorption. The selectivity of the Tc-MINps SPR sensor was investigated using oxytetracycline, ciprofloxacin, and amoxicillin due to their structural similarity. The selectivity coefficients were determined as 5.54 for oxytetracycline, 23.66 for ciprofloxacin, and 28.39 for amoxicillin. Additionally, the limit of detection (LOD) for the Tc-MINps SPR sensor for Tc analysis in milk was found to be 0.45 mg/L, while the LOD for the HPLC method was 0.55 mg/L. The developed SPR sensor is suitable for Tc detection in milk due to its advantages, such as real-time monitoring, low cost, high selectivity, and reusability.

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Publication Details

Journal
Talanta Open
Published
2025-02-05
DOI
https://doi.org/10.1016/j.talo.2025.100417
Citations
9
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
7.25
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article

Nano-MIP based SPR sensor for tetracycline analysis in milk sample

Bilgen Osman, Monireh Bakhshpour, Elif Tümay Özer, Melike Küçük
9 citations
Talanta Open
Advanced biosensing and bioanalysis techniques
7.25
article

Nano-MIP based SPR sensor for tetracycline analysis in milk sample

Bilgen Osman, Monireh Bakhshpour, Elif Tümay Özer, Melike Küçük
article en
9 citations

Abstract

• A surface plasmon resonance (SPR) sensor has been developed using molecularly imprinted nanoparticles (MINps) for the real-time, sensitive, and in-situ detection of tetracycline (Tc) in food products. • The sensor demonstrates highly selective binding of Tc to the nanocavities on the SPR surface, ensuring accurate measurement of tetracycline levels. • The developed sensor achieved a limit of detection (LOD) of 0.45 mg/L for Tc in milk, outperforming the traditional HPLC method, which had an LOD of 0.55 mg/L. • The sensor displayed excellent selectivity for tetracycline over structurally similar antibiotics, such as oxytetracycline, ciprofloxacin, and amoxicillin, with selectivity coefficients of 5.54, 23.66, and 28.39, respectively. Recent advancements in sensor technology have enabled the detection of antibiotics in food, ensuring human safety. In this study, we developed a surface plasmon resonance (SPR) sensor based on molecularly imprinted nanoparticles (MINps) for the real-time, sensitive, and in-situ detection of tetracycline (Tc). Firstly, Tc-imprinted nanoparticles (Tc-MINps) were synthesized using microemulsion polymerization. Then, the Tc-MINps were coated onto a bare gold SPR chip to develop the Tc-MINps SPR sensor. The sensor's performance was evaluated by detecting Tc in aqueous solutions. The results demonstrated a highly selective binding of Tc to the nanocavities on the surface of the Tc-MINps SPR sensor. The relationship between Tc molecules and the SPR sensor was analyzed at 0.5–20 mg/L Tc concentrations (pH 5.0). The Langmuir isotherm model was identified as the most appropriate binding model, indicating monolayer adsorption. The selectivity of the Tc-MINps SPR sensor was investigated using oxytetracycline, ciprofloxacin, and amoxicillin due to their structural similarity. The selectivity coefficients were determined as 5.54 for oxytetracycline, 23.66 for ciprofloxacin, and 28.39 for amoxicillin. Additionally, the limit of detection (LOD) for the Tc-MINps SPR sensor for Tc analysis in milk was found to be 0.45 mg/L, while the LOD for the HPLC method was 0.55 mg/L. The developed SPR sensor is suitable for Tc detection in milk due to its advantages, such as real-time monitoring, low cost, high selectivity, and reusability.

Talanta OpenVol. 11
Bursa Uludağ Üni̇versi̇tesi̇ (TR)
Openalex Percentile: Top 3%
Advanced biosensing and bioanalysis techniques
7.25
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