Determination of ethyl glucuronide (EtG) in blood samples using partial least squares discriminant analysis applied to surface-enhanced Raman spectroscopy

• Published in: Vibrational spectroscopy Vol. 106; p. 103012
• Main Authors: Açikgöz, Güneş, Hamamci, Berna
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.01.2020
• Subjects: Alcohol; Blood; Chemometric methods; Ethyl glucuronide (EtG); Raman spectroscopy; Chemometric methods; Alcohol; Raman spectroscopy; Ethyl glucuronide (EtG); Blood
• ISSN: 0924-2031; 1873-3697
• DOI: 10.1016/j.vibspec.2019.103012

Consumption of alcohol and problems related to alcohol vary widely around the world. Especially illegally produced and distributed alcohols have a great risk for human health, since they include high quantity of toxic substances. Ethanol measurements have high specificity for excessive alcohol intake. Ethyl Glucuronide (EtG) is considered as a direct biomarker of recent ethanol consumption. The study aims to identify EtG in blood samples by using Raman Spectroscopy. Silver colloidal nanoparticles were synthesized to obtain SERS (Surface-Enhanced Raman Spectroscopy) spectra of blood samples and EtG. PLS-DA (Partial Least Squares Discriminant Analysis) models were built on the collected SERS spectra. It is observed that EtG and the blood samples taken from people using alcohol are in the same group and the blood samples taken from no alcohol users are in a separate cluster from EtG. The sources of data variability are modelled by the so-called Latent Variables (LVs). The percentage of LVs were found to be 29.53% and 8.34%, respectively. In the study, it has been observed that the level of EtG changes according to the level of ethanol in blood samples. However, there is no study on the detection of EtG in blood with Raman spectroscopy. Outcomes of the present study encourage the feasibility of the application of Raman Spectroscopy for determination of EtG in blood samples.