Detecting Narcotic Usage Using Surface-Enhanced Raman Spectroscopy on Saliva Samples

Chen, Anyu; Lin, Hua; Liu, Jinghua; ZiJian, Cui; Jiao, Yi; Qu, Dian; Guo, Xianghai; Liu, Chunwei; Wen, Huang; Wang, Hong

doi:10.1007/978-3-642-03885-3_20

Cited by 8 publications

(9 citation statements)

References 5 publications

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“…The analysis of saliva at the molecular level can provide important information related to the pathological mechanisms of various organs within the body [41]. It has been reported that Raman spectroscopy of saliva can be used for narcotic usage detection, for cancer diagnostics, and in forensic medicine [40,43,44,45]. Saliva is a very complex solution that has a composition dependent on different factors such as lifestyle or circadian rhythm [46].…”

Section: Resultsmentioning

confidence: 99%

The Effects of Low-Dose Irradiation on Human Saliva: A Surface-Enhanced Raman Spectroscopy Study

Colceriu-Șimon

Hedeșiu

Toma³

et al. 2019

Diagnostics

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Biological effects of low-dose ionizing radiation (IR) have been unclear until now. Saliva, because of the ease of collection, could be valuable in studying low-dose IR effects by means of surface-enhanced Raman spectroscopy (SERS). The objective of our study was to compare the salivary SER spectra recorded before and after low-dose IR exposure in the case of pediatric patients (PP). Unstimulated saliva was collected from ten PP before and after irradiation with a cone beam computed tomography (CBCT) machine used for diagnostic purposes. The SERS measurements have been recorded on dried saliva samples using a solid nanosilver plasmonic substrate synthesized using an original method developed in our laboratory. The experimental results showed that salivary SER spectra are dominated by three vibrational bands (441,735 and 2107 cm−1) that can be assigned to bending and stretching vibrations of salivary thiocyanate (SCN-). After exposure, an immediate increase of vibrational bands assigned to SCN- has been recorded in the case of all samples, probably as a result of IR interaction with oral cavity. This finding suggests that SCN- could be used as a valuable biomarker for the detection and identification of low-dose radiation effects.

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Section: Resultsmentioning

confidence: 99%

The Effects of Low-Dose Irradiation on Human Saliva: A Surface-Enhanced Raman Spectroscopy Study

Colceriu-Șimon

Hedeșiu

Toma³

et al. 2019

Diagnostics

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“…[45] The potential for the detection of drugs of abuse such as ethanol and codeine was investigated by studying the samples which were dissolved in water. [46] Saliva samples from 44 narcotic users and 52 non-users were examined using SERS and the samples from the users showed a characteristic band at 1030 cm −1 that was not observed in the non-users. The detection of protein, albumin, triglyceride, and glucose in human sera was attempted with NIR-Raman spectroscopy and PLS was used to estimate their concentrations.…”

Section: Detecting Narcotic Usagementioning

confidence: 99%

Detection of drugs of abuse by Raman spectroscopy

West

Went

2010

Drug Testing and Analysis

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Raman spectroscopy can provide rapid, sensitive, non-destructive analysis of a variety of drug types (e.g. amphetamines, alkaloids, designer drugs, and date rape drugs). This review concentrates on developments in the past 15 years. It considers identification and quantification of drugs of abuse in different types of forensic evidence, including bulk street drugs as well as traces found in drinks, on fibres/clothing, in fingerprints, on fingernails, on bank notes, and in body fluids.

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“…SERS detection of methamphetamine was shown to be possible, however, via chemical modifications that enable it to bind to the substrate . More recently, it was shown that saliva samples can be used to screen for methamphetamine users by SERS by evaporating the sample on an array of nanopillars …”

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confidence: 99%

Rapid Detection of Drugs of Abuse in Saliva Using Surface Enhanced Raman Spectroscopy and Microfluidics

et al. 2013

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We present a microfluidic device that detects trace concentrations of drugs of abuse in saliva within minutes using surface-enhanced Raman spectroscopy (SERS). Its operation is demonstrated using methamphetamine. The detection scheme exploits concentration gradients of chemicals, fostered by the laminar flow in the device, to control the interactions between the analyte, silver nanoparticles (Ag-NPs), and a salt. Also, since all species interact while advecting downstream, the relevant reaction coordinates occur with respect to the position in the channel. The system was designed to allow the analyte first to diffuse into the side stream containing the Ag-NPs, on which it is allowed to adsorb, before salt ions are introduced, causing the Ag-NPs to aggregate, and so creating species with strong SERS signal. The device allows partial separation via diffusion of the analyte from the complex mixture. Also, the reproducible salt-induced NP aggregation decouples the aggregation reaction (necessary for strong SERS) from the analyte concentration or charge. This method enables the creation of a region where detection of the analyte of interest via SERS is optimal, and dramatically extends the classes of molecules and quality of signals that can be measured using SERS, compared to bulk solution methods. The spatial distribution of the SERS signals was used to map the degree of nanoparticle aggregation and species diffusion in the channel, which, together with numerical simulations, was used to describe the kinetics of the colloid aggregation reaction, and to determine the optimal location in the channel for SERS interrogation.

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Detecting Narcotic Usage Using Surface-Enhanced Raman Spectroscopy on Saliva Samples

Cited by 8 publications

References 5 publications

The Effects of Low-Dose Irradiation on Human Saliva: A Surface-Enhanced Raman Spectroscopy Study

The Effects of Low-Dose Irradiation on Human Saliva: A Surface-Enhanced Raman Spectroscopy Study

Detection of drugs of abuse by Raman spectroscopy

Rapid Detection of Drugs of Abuse in Saliva Using Surface Enhanced Raman Spectroscopy and Microfluidics

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