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Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates
Published on: March 20, 2015
Double-layer core-satellite magnetic SERS aptasensor for ultrasensitive and interference-free tryptamine detection
Chen Chen1, Yiming Ge1, Kexin Liu1
1Key Laboratory of Food Processing Technology and Quality Control in Shandong Province, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, 271018, People's Republic of China.
None:
Excessive tryptamine in food poses a significant risk to human health, emphasizing the demand for efficient, sensitive, and rapid detection technologies. Surface-enhanced Raman Spectroscopy (SERS) aptasensors are presently attracting a lot of attention due to their ability to detect targets at low concentrations. However, their inherent instability and poor anti-interference ability hinder their widespread use. Herein, a two-layer core-satellite magnetic SERS aptasensor was constructed to achieve the sensitive detection of tryptamine. The SERS aptasensor consisted of magnetic SERS recognition probes (magnetite nanoparticles coated with gold nanoparticles and aptamer: Fe3O4@Au-apt) and SERS signal probes (gold nanoparticles of two different sizes functionalized with the Raman reporter molecule 4-mercaptobenzonitrile and complimentary deoxyribonucleic acid strands). In the absence of tryptamine, the SERS signal probes attached to the aptamer on the SERS recognition probes to form a two-layer core-satellite structure with an intense SERS signal at 2226 cm- 1 in the "biological-silent" region due to the 4-Mercaptobenzonitrile. In the presence of tryptamine, tryptamine bonded to aptamer on the SERS recognition probe leading to detachment of the SERS signal probes, weakening the SERS signal at 2226 cm- 1. The aptasensor exhibited a favorable linear range from 0.001 to 100 mg L- 1, with a detection limit of 0.39 × 10- 3 mg L- 1 toward tryptamine. The fabricated sensor was practically applied to the detection of tryptamine in liquor, white wine and vinegar samples, with results highly consistent with high performance liquid chromatography data, demonstrating the broad prospects of the developed analytical method in food threat detection.
