Publication | Closed Access
Detection and Direct Readout of Drugs in Human Urine Using Dynamic Surface-Enhanced Raman Spectroscopy and Support Vector Machines
188
Citations
31
References
2015
Year
EngineeringSurface-enhanced Raman ScatteringForensic ChemistryDrug ScreeningBiomedical EngineeringLight Scattering SpectroscopySpectrochemical AnalysisBioanalysisDrug TestAnalytical ChemistryBiostatisticsSupport Vector MachinesSvm ModelClinical ChemistrySpectroscopic MethodBiomedical AnalysisPharmacologyHuman UrineBiomedical DiagnosticsSpectroscopyForensic ToxicologyDrug TestingDirect ReadoutMedicineDrug DiscoveryPortable Raman SpectrometerDrug Analysis
The high‑performance gold nanorods provide giant enhancement and highly reproducible SERS signals in D‑SERS. The study develops a rapid, portable method using D‑SERS on gold nanorods coupled with an SVM classifier to detect drugs in human urine, aiming to enable on‑site, rapid drug screening for law enforcement. The approach acquires urine spectra with D‑SERS on gold nanorods and trains an SVM model on these data for fast identification and visual results. The method successfully detected methamphetamine and MDMA, correctly identified drug‑addict samples with >90 % accuracy, displayed results directly without manual spectral analysis, and required only 2 µL of sample and ≤2 min runtime, outperforming conventional lab methods.
A new, novel, rapid method to detect and direct readout of drugs in human urine has been developed using dynamic surface-enhanced Raman spectroscopy (D-SERS) with portable Raman spectrometer on gold nanorods (GNRs) and a classification algorithm called support vector machines (SVM). The high-performance GNRs can generate gigantic enhancement and the SERS signals obtained using D-SERS on it have high reproducibility. On the basis of this feature of D-SERS, we have obtained SERS spectra of urine and urine containing methamphetamine (MAMP). SVM model was built using these data for fast identified and visual results. This general method was successfully applied to the detection of 3, 4-methylenedioxy methamphetamine (MDMA) in human urine. To verify the accuracy of the model, drug addicts' urine containing MAMP were detected and identified correctly and rapidly with accuracy more than 90%. The detection results were displayed directly without analysis of their SERS spectra manually. Compared with the conventional method in lab, the method only needs a 2 μL sample volume and takes no more than 2 min on the portable Raman spectrometer. It is anticipated that this method will enable rapid, convenient detection of drugs on site for the police.
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