Nano-MIP based SPR sensor for tetracycline analysis in milk sample
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 tetracyc...
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| Language: | English |
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Elsevier
2025-08-01
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| Series: | Talanta Open |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666831925000207 |
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| author | Monireh Bakhshpour-Yücel Melike Küçük Elif Tümay Özer Bilgen Osman |
| author_facet | Monireh Bakhshpour-Yücel Melike Küçük Elif Tümay Özer Bilgen Osman |
| author_sort | Monireh Bakhshpour-Yücel |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-4964970010f44b7ab962d2b6e1edef6f |
| institution | Kabale University |
| issn | 2666-8319 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Talanta Open |
| spelling | doaj-art-4964970010f44b7ab962d2b6e1edef6f2025-02-09T05:01:34ZengElsevierTalanta Open2666-83192025-08-0111100417Nano-MIP based SPR sensor for tetracycline analysis in milk sampleMonireh Bakhshpour-Yücel0Melike Küçük1Elif Tümay Özer2Bilgen Osman3Bursa Uludag University, Department of Chemistry, Faculty of Arts and Science, Bursa, TurkeyBursa Uludag University, Department of Chemistry, Faculty of Arts and Science, Bursa, TurkeyBursa Uludag University, Department of Chemistry, Faculty of Arts and Science, Bursa, TurkeyCorresponding author.; Bursa Uludag University, Department of Chemistry, Faculty of Arts and Science, Bursa, TurkeyRecent 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.http://www.sciencedirect.com/science/article/pii/S2666831925000207Surface plasmon resonanceMolecularly imprinted nanoparticlesTetracyclineFood safetyHuman safety |
| spellingShingle | Monireh Bakhshpour-Yücel Melike Küçük Elif Tümay Özer Bilgen Osman Nano-MIP based SPR sensor for tetracycline analysis in milk sample Talanta Open Surface plasmon resonance Molecularly imprinted nanoparticles Tetracycline Food safety Human safety |
| title | Nano-MIP based SPR sensor for tetracycline analysis in milk sample |
| title_full | Nano-MIP based SPR sensor for tetracycline analysis in milk sample |
| title_fullStr | Nano-MIP based SPR sensor for tetracycline analysis in milk sample |
| title_full_unstemmed | Nano-MIP based SPR sensor for tetracycline analysis in milk sample |
| title_short | Nano-MIP based SPR sensor for tetracycline analysis in milk sample |
| title_sort | nano mip based spr sensor for tetracycline analysis in milk sample |
| topic | Surface plasmon resonance Molecularly imprinted nanoparticles Tetracycline Food safety Human safety |
| url | http://www.sciencedirect.com/science/article/pii/S2666831925000207 |
| work_keys_str_mv | AT monirehbakhshpouryucel nanomipbasedsprsensorfortetracyclineanalysisinmilksample AT melikekucuk nanomipbasedsprsensorfortetracyclineanalysisinmilksample AT eliftumayozer nanomipbasedsprsensorfortetracyclineanalysisinmilksample AT bilgenosman nanomipbasedsprsensorfortetracyclineanalysisinmilksample |