Classification of heroin, methamphetamine, ketamine and their additives by attenuated total reflection-Fourier transform infrared spectroscopy and chemometrics

He, Xin; Wang, Jifen; You, Xinwei; Niu, Fan; Fan, Linyuan; Lv, Yufan

doi:10.1016/j.saa.2020.118665

Cited by 16 publications

(9 citation statements)

References 25 publications

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“…C,D Raman spectra of the same samples. The IR spectra are assigned using the data from refs − and references therein. The Raman spectra are assigned based on the data from ref .…”

Section: Resultsmentioning

confidence: 99%

Thermal Decomposition of Cocaine and Methamphetamine Investigated by Infrared Spectroscopy and Quantum Chemical Simulations

et al. 2021

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Examination of thermal decomposition of street samples of cocaine and methamphetamine shows that typical products detected in previous studies are accompanied by a wide palette of simple volatile compounds easily detectable by spectral techniques. These molecules increase smoke toxicity and their spectral detection can be potentially used for identification of drug samples by well-controlled laboratory thermolysis in temperature progression. In our study, street samples of cocaine and methamphetamine have been thermolyzed under vacuum over the temperature range of 350–650 °C. The volatile products (CO, HCN, CH4, C2H4, etc.) have been monitored by high-resolution Fourier-transform infrared (FTIR) spectrometry in this temperature range. The decomposition mechanism has been additionally examined theoretically by quantum-chemical calculations for the highest temperature achieved experimentally in our study and beyond. Prior to analysis, the street samples have also been characterized by FTIR, Raman spectroscopy, energy-dispersive X-ray spectroscopy, and melting point determination.

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“…C,D Raman spectra of the same samples. The IR spectra are assigned using the data from refs − and references therein. The Raman spectra are assigned based on the data from ref .…”

Section: Resultsmentioning

confidence: 99%

Thermal Decomposition of Cocaine and Methamphetamine Investigated by Infrared Spectroscopy and Quantum Chemical Simulations

et al. 2021

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“…He et al were able to discriminate five different binary mixtures of methamphetamine plus a common diluent from each other by ATR-FTIR. 224 There are many other phenethylamines that are also controlled, but it can be difficult to differentiate them due to their structural similarities. However, Liu et al have shown that several regioisomers and structural analogs can be identified by Raman spectroscopy.…”

Section: ■ Chemistry: Seized Drugs and Toxicologymentioning

confidence: 99%

“…However, their IR spectra are easily distinguished. He et al were able to discriminate five different binary mixtures of methamphetamine plus a common diluent from each other by ATR-FTIR . There are many other phenethylamines that are also controlled, but it can be difficult to differentiate them due to their structural similarities.…”

Section: Chemistry: Seized Drugs and Toxicologymentioning

confidence: 99%

Innovative Vibrational Spectroscopy Research for Forensic Application

et al. 2023

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“…Discriminant analysis is a multivariate statistical method that objectively uses multiple factors to classify predictive objects [ 44 ]. Bayes discriminant constructs a multivariate discriminant model based on the Bayes criterion to discriminate against the predicted object [ 45 ], which is a method to find the best division under the condition of optimizing the minimum false loss [ 46 , 47 ]. Bayes discriminant analysis has been applied to many fields and produces more accurate predictions, especially risk prediction [ 48 , 49 , 50 ], disease prediction [ 51 , 52 ] and chemometric statistical analysis [ 47 , 53 , 54 ].…”

Section: Introductionmentioning

confidence: 99%

“…Bayes discriminant constructs a multivariate discriminant model based on the Bayes criterion to discriminate against the predicted object [ 45 ], which is a method to find the best division under the condition of optimizing the minimum false loss [ 46 , 47 ]. Bayes discriminant analysis has been applied to many fields and produces more accurate predictions, especially risk prediction [ 48 , 49 , 50 ], disease prediction [ 51 , 52 ] and chemometric statistical analysis [ 47 , 53 , 54 ]. However, studies applying Bayes discriminant analysis to urban impervious surface extraction are rare.…”

Section: Introductionmentioning

confidence: 99%

A Novel Bayes Approach to Impervious Surface Extraction from High-Resolution Remote Sensing Images

Wang

Ding

Wang

et al. 2022

Sensors

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Impervious surface as an evaluation indicator of urbanization is crucial for urban planning and management. It is necessary to obtain impervious surface information with high accuracy and resolution to meet dynamic monitoring under rapid urban development. At present, the methods of impervious surface extraction are primarily based on medium-low-resolution images. Therefore, it is of theoretical and application value to construct an impervious surface extraction method that applies to high-resolution satellite images and can solve the shadow misclassification problem. This paper builds an impervious surface extraction model by Bayes discriminant analysis (BDA). The Gaussian prior model is incorporated into the Bayes discriminant analysis to establish a new impervious surface extraction model (GBDA) applicable to high-resolution remote sensing images. Using GF-2 and Sentinel-2 remote sensing images as experimental data, we discuss and analyze the applicability of BDA and GBDA in impervious surface extraction of high-resolution remote sensing images. The results showed that the four methods, SVM, RF, BDA and GBDA, had OA values of 91.26%, 94.91%, 94.64% and 97.84% and Kappa values of 0.825, 0.898, 0.893 and 0.957, respectively, in the extraction results of GF-2. In the results of effective Sentinel-2 extraction, the OA values of the four methods were 87.94%, 91.79%, 92.19% and 93.51% and the Kappa values were 0.759, 0.836, 0.844 and 0.870, respectively. Compared with the support vector machine (SVM), random forest (RF) and BDA methods, GBDA has significantly improved the extraction accuracy. GBDA enhances the robustness and generalization ability of the model and can improve the shadow misclassification phenomenon of high-resolution images. The model constructed in this paper is highly reliable for extracting impervious surfaces from high-resolution remote sensing images, exploring the application value of Bayes discriminant analysis in impervious surface extraction and providing technical support for impervious surface information of high spatial resolution and high quality.

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Classification of heroin, methamphetamine, ketamine and their additives by attenuated total reflection-Fourier transform infrared spectroscopy and chemometrics

Cited by 16 publications

References 25 publications

Thermal Decomposition of Cocaine and Methamphetamine Investigated by Infrared Spectroscopy and Quantum Chemical Simulations

Thermal Decomposition of Cocaine and Methamphetamine Investigated by Infrared Spectroscopy and Quantum Chemical Simulations

Innovative Vibrational Spectroscopy Research for Forensic Application

A Novel Bayes Approach to Impervious Surface Extraction from High-Resolution Remote Sensing Images

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