Abstract
In this investigation, surface-enhanced Raman spectroscopy (SERS) technology was performed to detect bucinnazine hydrochloride (BH) injection in water and urine. The theoretical Raman spectrum of BH with characteristic peaks was calculated and identified by density functional theory (DFT). Employing an improved silver sol as a SERS active substrate, the SERS spectra of a BH solution with different concentrations were acquired with a 0.5 mol/L KI solution as an aggregation agent. It was determined that the limit of detection (LOD) was low, to 0.01 μg/mL. A good linear relationship of BH between the Raman intensity and the concentrations was obtained in water at a concentration range from 0.5 to 6 μg/mL (R2 = 0.9914), which laid a favorable foundation for quantitative analysis. In addition, the recovery rate of spiked samples from 95.13 to 120.54% were calculated. Finally, the detection of BH injection in artificial urine was completed and the detection limit could reach 0.5 μg/mL, which met the requirements of a rapid on-site detection of drugs in urine. As a result, it indicates that the inspection of BH by the SERS method is with simplicity and high sensitivity, having a great potential for real-time detection.
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Acknowledgments
This work is supported by the International S&T Cooperation Program of China (Grant No. 2011DFA31770), the National Natural Science Foundation of China (Grant No. 31871873) and the Inner Mongolia Autonomous Region Natural Science Foundation of China (Grant No. 2018LH08055).
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Zhang, C., Han, Sqgw., Zhao, H. et al. Detection and Quantification of Bucinnazine Hydrochloride Injection Based on SERS Technology. ANAL. SCI. 34, 1249–1255 (2018). https://doi.org/10.2116/analsci.18P158
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DOI: https://doi.org/10.2116/analsci.18P158
Keywords
- Surface-enhanced Raman spectroscopy
- bucinnazine hydrochloride
- silver nanoparticles
- quantitative analysisAcknowledgements This work is supported by the International S&T Cooperation Program of China (Grant No. 2011DFA31770)
- the National Natural Science Foundation of China (Grant No. 31871873) and the Inner Mongolia Autonomous Region Natural Science Foundation of China (Grant No. 2018LH08055).