Detection and identification of medically important alkaloids using the surface-enhanced Raman scattering spectroscopy
Jazyk angličtina Země Anglie, Velká Británie Médium print-electronic
Typ dokumentu časopisecké články
PubMed
30223248
DOI
10.1016/j.saa.2018.09.009
PII: S1386-1425(18)30854-0
Knihovny.cz E-zdroje
- Klíčová slova
- Atropine, Gold substrates, Pergolide, Raman spectroscopy, SERS, Silver substrates,
- MeSH
- adjuvancia anestetická analýza MeSH
- agonisté dopaminu analýza MeSH
- atropin analýza MeSH
- metoda nejmenších čtverců MeSH
- pergolid analýza MeSH
- Ramanova spektroskopie metody MeSH
- stříbro chemie MeSH
- zlato chemie MeSH
- Publikační typ
- časopisecké články MeSH
- Názvy látek
- adjuvancia anestetická MeSH
- agonisté dopaminu MeSH
- atropin MeSH
- pergolid MeSH
- stříbro MeSH
- zlato MeSH
Currently, trace detection of drugs, medicinal products, psychoactive substances, poisons and other natural or synthetic compounds in the human body has become one of the most important areas of interest in medicine, toxicology and forensic research. Due to the rapid development of nanotechnology, applications in forensic and biological sciences, food industry and art preservation there is an increasing interest in surface-enhanced Raman scattering (SERS) spectroscopy as a technique capable of low detection limits in the analysis of small amounts of studied analytes. In this study, different excitation wavelengths (785 nm and 1064 nm) were used to find the appropriate experimental conditions for the detection and identification of medically significant alkaloids - atropine and pergolide - by means of surface-enhanced Raman scattering spectroscopy. SERS spectra of selected alkaloids were measured in the concentration range 10-3-10-9 mol∙L-1 using large-scaled platinum substrates coated with electrochemically prepared gold or silver SERS-active layers. Identification was based on the assignment of surface-enhanced characteristic vibrational bands using theoretical (DFT) calculations and comparing them with normal (non-enhanced) Raman spectra of pure compounds. All sets of spectral data were subjected to multivariate statistical approach (partial least squares regression) aiming at prediction of alkaloids concentration in developed models and its comparison with experimental results.
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