Diazotization-Coupling Reaction-Based Determination of Tyrosine in Urine Using Ag Nanocubes by Surface-Enhanced Raman Spectroscopy
Yudong Lu,
Dechan Lu,
Ruiyun You,
Jialing Liu,
Luqiang Huang,
Jingqian Su,
Shangyuan Feng
Affiliations
Yudong Lu
Fujian Key Laboratory of Polymer Materials, College of Chemistry and Materials Science, Fuzhou 350007, Fujian, China
Dechan Lu
Fujian Key Laboratory of Polymer Materials, College of Chemistry and Materials Science, Fuzhou 350007, Fujian, China
Ruiyun You
Fujian Key Laboratory of Polymer Materials, College of Chemistry and Materials Science, Fuzhou 350007, Fujian, China
Jialing Liu
Center of Engineering Technology Research for Microalgae Germplasm Improvement of Fujian, Southern Institute of Oceanography, Fujian Normal University, Fuzhou 350117, Fujian, China
Luqiang Huang
Center of Engineering Technology Research for Microalgae Germplasm Improvement of Fujian, Southern Institute of Oceanography, Fujian Normal University, Fuzhou 350117, Fujian, China
Jingqian Su
Center of Engineering Technology Research for Microalgae Germplasm Improvement of Fujian, Southern Institute of Oceanography, Fujian Normal University, Fuzhou 350117, Fujian, China
Shangyuan Feng
Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350117, Fujian, China
A novel, simple, and highly sensitive method was developed to detect the concentration of tyrosine-derived azo dye indirectly using silver nanocubes (AgNCs) as a substrate on a super-hydrophobic silver film by surface-enhanced Raman spectroscopy (SERS). Diazotization-coupling reaction occurred between diazonium ions and the phenolic tyrosine, resulting in three new typical peaks in the SERS spectrum of the azo dye that was formed on the AgNCs, indicating strong SERS activity. Subsequently, the limit of detection of this approach was as low as 10−12 M for tyrosine. Moreover, the SERS intensities of the three typical SERS signals of the analyte were linearly correlated with the logarithm of concentration of the Tyrosine. The proposed method shows great potential for tyrosine detection in the urine samples of normal humans.
