共 10 条
Density Functional Theory-Spectroscopy Integrated Identification Method Encompassing Experimental and Theoretical Analyses for Designer Drug Stimulants
被引:0
|作者:
Jeong, Keunhong
[1
]
Jeon, Youngjoon
[2
]
Min, Sein
[3
]
Ryu, Tae In
[4
]
Yoon, Young Wook
[4
]
Cho, Yoonjae
[4
]
Hwang, Seung-Ryul
[4
]
Jeong, Hye Jin
[1
]
Kim, Sung Soo
[5
]
机构:
[1] Korea Mil Acad, Dept Phys & Chem, Seoul 01805, South Korea
[2] Korea Mil Acad, Dept Civil Engn & Environm Sci, Seoul 01805, South Korea
[3] Seoul Womens Univ, Dept Chem, Seoul 01797, South Korea
[4] Natl Inst Chem Safety, Accid Coordinat & Training Div, Cheongju 28164, South Korea
[5] Chung Ang Univ, Sch Energy Syst Engn, Seoul 06974, South Korea
基金:
新加坡国家研究基金会;
关键词:
density functional theory-spectroscopy integrated identification methods (D-SIIMs);
gas chromatography-mass spectrometries (GC-MSs);
infrareds (IRs);
nuclear magnetic resonances (NMRs);
quantum hyperpolarizations;
Raman;
NMR-SPECTROSCOPY;
METHAMPHETAMINE;
ABUSE;
D O I:
10.1002/aisy.202500111
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
Increases in synthetic drug production and distribution pose significant risks to public health and safety. Traditional detection methods often fail to accurately identify these complex chemicals, particularly when they are mixed. Accordingly, Herein, an advanced density functional theory spectroscopy integrated identification method (D-SIIM) comprising a combination of experimental and theoretical analyses is introduced. D-SIIM is helpful in correcting the erroneous information provided by gas chromatography-mass spectrometry during the analysis of a mixture of three synthetic drug stimulants. Furthermore, the application of a denoising mechanism to the experimental Raman data considerably aligns experimental results with theoretical predictions, thereby augmenting the accuracy and reliability of D-SIIM. Moreover, the potential of employing hyperpolarized nuclear magnetic resonance (NMR) spectroscopy to enhance NMR signals at low concentrations is explored. Current approach provides a robust and adaptable framework for identifying synthetic drugs in complex mixtures and will play critical roles in forensic investigations and drug enforcement strategies.
引用
收藏
页数:13
相关论文