Paper
22 February 2017 Feasibility study of a Raman spectroscopic route to drug detection
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Abstract
We present an surface-enhanced Raman spectroscopy (SERS) approach for detection of drugs of abuse in whole human blood. We utilize a near infrared laser with 830 nm excitation wavelength in order to reduce the influence of fluorescence on the spectra of blood. However, regular plasmon resonance peak of plasmonic nanoparticles, such as silver or gold fall in a much lower wavelength regime about 400 nm. Therefore, we have shifted the plasmon resonance of nanoparticles to match that of an excitation laser wavelength, by fabrication of the silver-core gold-shell nanoparticles. By combining the laser and plasmon resonance shift towards longer wavelengths we have achieved a great reduction in background fluorescence of blood. Great enhancement of Raman signal coming solely from drugs was achieved without any prominent lines coming from the erythrocytes. We have applied chemometric processing methods, such as Principal Component Analysis (PCA), to detect the elusive differences in the Raman bands which are specific for the investigated drugs. We have achieved good classification for the samples containing particular drugs (e.g., butalbital, α-hydroxyalprazolam). Furthermore, a quantitative analysis was carried out to assess the limit of detection (LOD) using Partial Least Squares (PLS) regression method. In conclusion, our LOD values obtained for each class of drugs was competitive with the gold standard GC/MS method.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maciej S. Wróbel, Soumik Siddhanta, Małgorzata Jędrzejewska-Szczerska, Janusz Smulko, and Ishan Barman "Feasibility study of a Raman spectroscopic route to drug detection", Proc. SPIE 10077, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XIV, 100771D (22 February 2017); https://doi.org/10.1117/12.2254803
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KEYWORDS
Blood

Raman spectroscopy

Nanoparticles

Surface enhanced Raman spectroscopy

Silver

Plasmons

Principal component analysis

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