Spectral Classification and Identification of Methamphetamine and Its Common Additives Based on Multivariate Modeling

Hou Wei; Wang Jifen; He Xinlong

doi:10.3788/LOP202158.0330003

Laser & Optoelectronics Progress, Volume. 58, Issue 3, 3300031(2021)

Spectral Classification and Identification of Methamphetamine and Its Common Additives Based on Multivariate Modeling

Hou Wei, Wang Jifen^*, and He Xinlong

Author Affiliations

School of Investigation, People''s Public Security University of China, Beijing 100038, China

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Figures & Tables(7)

Fig. 1. Infrared spectra of all samples

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Fig. 2. Classification accuracy of full band spectral data at characteristic variable with different dimensions

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Fig. 3. Classification accuracy of infrared fingerprint region data at characteristic variable with different dimensions

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Fig. 4. Spatial classification details of five additives

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Table 1. Two constituents samples preparation methods
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Table 1. Two constituents samples preparation methods
No. Methamphetamine /mg Additives /mg Mass fraction of methamphetamine /%
1 0.5 4.5 10
2 1.0 4.0 20
3 1.5 3.5 30
4 2.0 3.0 40
5 2.5 2.5 50
6 3.0 2.0 60
7 3.5 1.5 70
8 4.0 1.0 80
9 4.5 0.5 90

Table 2. Classification accuracy of five additives under different methods
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Table 2. Classification accuracy of five additives under different methods
Type MLP RBF BDA
Training set Test set Training set Test set Training set Test set
Fingerprint spectrum 99.25 94.80 74.55 62.38 98.70 96.67
Full spectrum 98.50 90.12 70.16 60.53 98.70 96.67

Table 3. Classification accuracy of samples containing different mass fractions of methamphetamine under different methods

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Table 3. Classification accuracy of samples containing different mass fractions of methamphetamine under different methods

Model	Full spectrum		Fingerprint spectrum
Model	Original variable	Characteristic variable	Original variable	Characteristic variable
MLP	42.67	5.23‒46.58	48.53	6.52‒50
RBF	7.05	0‒23.22	4.31	0‒25.40
BDA	82.30	20.85‒100	82.30	22.78‒100

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Hou Wei, Wang Jifen, He Xinlong. Spectral Classification and Identification of Methamphetamine and Its Common Additives Based on Multivariate Modeling[J]. Laser & Optoelectronics Progress, 2021, 58(3): 3300031

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