Issue 7, 2012

Rapid and on-site analysis of illegal drugs on the nano–microscale using a deep ultraviolet-visible reflected optical fiber sensor

Abstract

A deep ultraviolet-visible (DUV-Vis) reflected optical fiber sensor was developed for use in a simple spectrophotometric detection system to detect the absorption of various illegal drugs at wavelengths between 180 and 800 nm. Quantitative analyses performed using the sensor revealed a high specificity and sensitivity for drug detection at a wavelength of approximately 200 nm. Using a double-absorption optical path length, extremely small sample volumes were used (32 to 160 nL), which allowed the use of minimal amounts of samples. A portable spectrophotometric system was established based on our optical fiber sensor for the on-site determination and quantitative analysis of common illegal drugs, such as 3,4-methylenedioxymethamphetamine (MDMA), ketamine hydrochloride, cocaine hydrochloride, diazepam, phenobarbital, and barbital. By analyzing the absorbance spectra, six different drugs were quantified at concentrations that ranged from 0.1 to 1000 μg mL−1 (16 pg–0.16 μg). A novel Matching Algorithm of Spectra Space (MASS) was used to accurately distinguish between each drug in a mixture. As an important supplement to traditional methods, such as mass spectrometry or chromatography, our optical fiber sensor offers rapid and low-cost on-site detection using trace amounts of sample. This rapid and accurate analytical method has wide-ranging applications in forensic science, law enforcement, and medicine.

Graphical abstract: Rapid and on-site analysis of illegal drugs on the nano–microscale using a deep ultraviolet-visible reflected optical fiber sensor

Supplementary files

Article information

Article type
Paper
Submitted
12 Oct 2011
Accepted
11 Jan 2012
First published
03 Feb 2012

Analyst, 2012,137, 1596-1603

Rapid and on-site analysis of illegal drugs on the nano–microscale using a deep ultraviolet-visible reflected optical fiber sensor

Q. Li, T. Qiu, H. Hao, H. Zhou, T. Wang, Y. Zhang, X. Li, G. Huang and J. Cheng, Analyst, 2012, 137, 1596 DOI: 10.1039/C2AN15953H

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