Evaluation of Shifted-Excitation Raman Difference Spectroscopy and Comparison to Ordinary Portable Raman Spectroscopy in Identification of Seized Drugs

IF 0.8 4区 化学 Q4 SPECTROSCOPY Spectroscopy Pub Date : 2023-08-01 DOI:10.56530/spectroscopy.xy6377n5
Ling-yu Zhao, Guo-ping Wu, Yuan-zhao Wu
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Abstract

Rapid and accurate identification and detection of illicit drugs are important for combating drug crimes. As a newly developed technology, shifted-excitation Raman difference spectroscopy (SERDS) can greatly reduce the interference caused by fluorescence and improve the potential of Raman for distinguishing drug compounds in seized samples with fluorescent additives. In this work, 43 random seized drugs were scanned and analyzed by both SERDS and ordinary portable Raman spectrometers for the first time. The detected results of two Raman technologies were confirmed with gas chromatographic mass spectrometry test results, and compared in detail in the aspects of detection rate and matching accuracy. SERDS had significant advantages in eliminating fluorescence interference with a very high detection rate of 93.0%, compared with 53.3% obtained by an ordinary Raman spectrometer, although the ordinary Raman spectrometer analyzed the composition of multi-component mixed samples with higher accuracy. To some extent, the two Raman spectrometers realized functional complementarity, and a rational use of the two types of Raman spectrometers may be of benefit in the rapid detection of seized drugs.
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位移激发拉曼差分光谱的评价及与普通便携式拉曼光谱鉴别扣押药品的比较
迅速和准确地查明和侦查非法药物对于打击毒品犯罪至关重要。移位激发拉曼差分光谱(SERDS)作为一项新兴技术,可以极大地减少荧光的干扰,提高拉曼光谱在含有荧光添加剂的检获样品中鉴别药物化合物的潜力。本文首次采用SERDS和普通便携式拉曼光谱仪对43种随机检获的药物进行扫描分析。将两种拉曼技术的检测结果与气相色谱-质谱检测结果进行了验证,并在检出率和匹配精度方面进行了详细的比较。SERDS在消除荧光干扰方面具有明显优势,其检出率高达93.0%,而普通拉曼光谱仪的检出率为53.3%,尽管普通拉曼光谱仪对多组分混合样品的成分分析精度更高。两种拉曼光谱仪在一定程度上实现了功能互补,合理使用两种拉曼光谱仪可能有利于快速检测查获的药物。
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来源期刊
Spectroscopy
Spectroscopy 物理-光谱学
CiteScore
1.10
自引率
0.00%
发文量
0
审稿时长
3 months
期刊介绍: Spectroscopy welcomes manuscripts that describe techniques and applications of all forms of spectroscopy and that are of immediate interest to users in industry, academia, and government.
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