Thiram Determination in Milk Samples by Surface Plasmon Resonance Based on Molecularly Imprinted Polymers and Sulphur-Doped Titanium Dioxide

Author:

Harmankaya Sezen1,Deveci Hacı Ahmet2ORCID,Harmankaya Ahmet3,Gül Fatma Hazan4ORCID,Atar Necip5,Yola Mehmet Lütfi6ORCID

Affiliation:

1. Department of Food Processing, Kars Vocational School, Kafkas University, Kars 36000, Turkey

2. Department of Nutrition and Dietetics, Faculty of Health Sciences, Gaziantep University, Gaziantep 27000, Turkey

3. Department of Chemistry, Faculty of Science and Literature, Kafkas University, Kars 36000, Turkey

4. Department of Nutrition and Dietetics, Faculty of Health Sciences, Mersin University, Mersin 33343, Turkey

5. Department of Chemical Engineering, Faculty of Engineering, Pamukkale University, Denizli 20160, Turkey

6. Department of Nutrition and Dietetics, Faculty of Health Sciences, Hasan Kalyoncu University, Gaziantep 27000, Turkey

Abstract

In this work, a new surface plasmon resonance (SPR) sensor based on sulphur-doped titanium dioxide (S-TiO2) nanostructures and molecularly imprinted polymer (MIP) was presented for thiram (THI) determination in milk samples. Firstly, the S-TiO2 nanomaterial with a high product yield was prepared by using a facile sol-gel hydrolysis technique with a high product yield. After that, UV polymerization was carried out for the preparation of the THI-imprinted SPR chip based on S-TiO2 using a mixture including ethylene glycol dimethacrylate (EGDMA) as the cross-linker, N,N′-azobisisobutyronitrile (AIBN) as the initiator, and methacryloylamidoglutamicacid (MAGA) as the monomer. The reliability of the sensor preparation procedure has been successfully proven by characterization studies of the prepared nanomaterials and SPR chip surfaces through spectroscopic, microscopic, and electrochemical methods. As a result, the prepared SPR sensor showed linearity in the range of 1.0 × 10−9–1.0 × 10−7 M with a detection limit (LOD) of 3.3 × 10−10 M in the real samples, and a sensor technique for THI determination with high sensitivity, repeatability, and selectivity can be included in the literature.

Funder

Turkish Academy of Sciences

Publisher

MDPI AG

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