TWO-STAGE SYNTHETIC DRUGS DISCRIMINATION IN BLOTTER … · 0,05 0,1 0,15 0,2 0,25 0,3 0,35 Número...

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Custódio, M. F. 1 , Magalhães, L. O . 1 , Arantes, L. C. 2 , Braga, J. W. B. 1 TWO-STAGE SYNTHETIC DRUGS DISCRIMINATION IN BLOTTER PAPERS BY MIR SPECTROSCOPY AND PLS-DA 1 Instituto de Química, Universidade de Brasília, DF, Brasil. 2 Instituto de Criminalística, Seção de Perícias e Análises Laboratoriais, Polícia Civil do Distrito Federal, DF, Brasil. *[email protected] NEQUIFOR Introduction and Objective Methods Conclusions Results Blotter paper seizures containing new psychoactive substances (NPS) such as NBOMe and NBOH are increasing over the last years. Usually blotter paper analysis is performed by GC-MS. NBOH compounds need an ambient ionization or a modified GC-MS method to avoid misidentification with 2C-I. 1 Spectroscopic methods such as ATR-FTIR associated to PLS-DA are an alternative for a rapid sceening of NPS in blotter papers. The objective of this work is the development of a two-stage discrimination method for NPS in blotter papers using ATR-FTIR and PLS-DA. Spectra acquisition MODEL A (PLS-DA) NO NPS NPS MODEL B (PLS-DA) NBOMe NBOH OTHERS 500 1000 1500 2000 2500 3000 3500 4000 0 0,05 0,1 0,15 0,2 0,25 0,3 0,35 Número de onda / cm -1 Absorbância / u. a. GC-MS End of analysis Outlier Sample can’t be analyzed by the model Outlier 156 samples MODEL A – 13 latent variables Phase Class FPR (%) FNR (%) EFR (%) Training No NPS 0 0 100 NPS 0 0 100 Validation No NPS 0 0 100 NPS 0 0 100 MODEL B – 9 latent variables Fase Class FPR (%) FNR (%) EFR (%) Training NBOMe 0 0 100 NBOH 0 0 100 Validation NBOMe 0 0 100 NBOH 0 0 100 This is a cheap and fast non-destructive procedure, which requires no sample preparation and can be performed in less than ten minutes in a standard ATR-FTIR. The proposed method presented efficiency rates of 100% and can be easily updated to include new drugs or drug classes. 2 Outliers are rapidly identified considering superior and inferior limits as well as Mahalanobis distance and spectral residual probability. The proposed method can be used as a blotter paper screening routine in forensic laboratories. References Acknowledgments X X N __ H C __ O Blank Wavenumber / cm -1 1 Arantes, L.C.; Ferrari Júnior, E.; Souza, L.F.; Cardoso, A.C.; Alcântara, T.L.F.; Lião, L.M.; Machado, Y.; Lordeiro, R.A.; Coelho Neto, J.; Andrade, A.F.B. Forensic Toxicol. 35 (2017) 408-414. doi: 10.1007/s11419-017-0357-x. 2 Pereira, L.S.A.; Lisboa, F.L.C.; Coelho Neto, J.; Valladão, F.; Sena, M. Microchem. J. 133 (2017) 96103. doi:10.1016/j.microc.2017.03.032. Figure 1. Characteristic spectra of blank and studied substances. Figure 2. (A) Estimated class values and (B) spectral residual probability versus Mahalanobis distance for Model A. FPR - False positive rate FNR - False negative rate EFR Efficiency rate. Figure 3. (A) Estimated class values and (B) spectral residual probability versus Mahalanobis distance for Model B. Table 1. Figures of merit for models A and B. C __ I GC-MS or API-MS (A) (A) (B) (B)

Transcript of TWO-STAGE SYNTHETIC DRUGS DISCRIMINATION IN BLOTTER … · 0,05 0,1 0,15 0,2 0,25 0,3 0,35 Número...

Page 1: TWO-STAGE SYNTHETIC DRUGS DISCRIMINATION IN BLOTTER … · 0,05 0,1 0,15 0,2 0,25 0,3 0,35 Número de onda / cm-1. GC-MS End of analysis Outlier Sample can’tbe analyzed by the model

Custódio, M. F. 1, Magalhães, L. O. 1, Arantes, L. C. 2, Braga, J. W. B. 1

TWO-STAGE SYNTHETIC DRUGS DISCRIMINATION IN

BLOTTER PAPERS BY MIR SPECTROSCOPY AND PLS-DA

1 Instituto de Química, Universidade de Brasília, DF, Brasil.2 Instituto de Criminalística, Seção de Perícias e Análises Laboratoriais, Polícia Civil do Distrito Federal, DF, Brasil.

*[email protected]

NEQUIFOR

Introduction and Objective

Methods

ConclusionsResults

➢ Blotter paper seizures containing new psychoactive substances

(NPS) such as NBOMe and NBOH are increasing over the last years.

➢ Usually blotter paper analysis is performed by GC-MS.

➢ NBOH compounds need an ambient ionization or a modified GC-MS

method to avoid misidentification with 2C-I.1

➢ Spectroscopic methods such as ATR-FTIR associated to PLS-DA are

an alternative for a rapid sceening of NPS in blotter papers.

➢ The objective of this work is the development of a two-stage

discrimination method for NPS in blotter papers using ATR-FTIR and

PLS-DA.

Spectra

acquisition

MODEL A

(PLS-DA)

NO NPSNPS

MODEL B

(PLS-DA)

NBOMe

NBOH

OTHERS

500 1000 1500 2000 2500 3000 3500 40000

0,05

0,1

0,15

0,2

0,25

0,3

0,35

Número de onda / cm-1

Ab

so

rbâ

nc

ia / u

. a

.

GC-MSEnd of

analysis

Outlier

Sample can’t be analyzed

by the model

Outlier

156 samples

MODEL A – 13 latent variablesPhase Class FPR (%) FNR (%) EFR (%)

TrainingNo NPS 0 0 100

NPS 0 0 100

ValidationNo NPS 0 0 100

NPS 0 0 100MODEL B – 9 latent variables

Fase Class FPR (%) FNR (%) EFR (%)

TrainingNBOMe 0 0 100NBOH 0 0 100

ValidationNBOMe 0 0 100NBOH 0 0 100

➢ This is a cheap and fast non-destructive procedure, which requires

no sample preparation and can be performed in less than ten

minutes in a standard ATR-FTIR.

➢ The proposed method presented efficiency rates of 100% and can

be easily updated to include new drugs or drug classes.2

➢ Outliers are rapidly identified considering superior and inferior limits

as well as Mahalanobis distance and spectral residual probability.

➢ The proposed method can be used as a blotter paper screening

routine in forensic laboratories.

References

Acknowledgments

X

X

N__H

C__O

Blank

Wavenumber / cm-1

1 Arantes, L.C.; Ferrari Júnior, E.; Souza, L.F.; Cardoso, A.C.; Alcântara, T.L.F.; Lião,

L.M.; Machado, Y.; Lordeiro, R.A.; Coelho Neto, J.; Andrade, A.F.B. Forensic Toxicol. 35

(2017) 408-414. doi: 10.1007/s11419-017-0357-x.

2 Pereira, L.S.A.; Lisboa, F.L.C.; Coelho Neto, J.; Valladão, F.; Sena, M. Microchem. J.

133 (2017) 96–103. doi:10.1016/j.microc.2017.03.032.

Figure 1. Characteristic spectra of blank and studied substances.

Figure 2. (A) Estimated class values and (B) spectral residual probability versus

Mahalanobis distance for Model A.

FPR - False positive rate FNR - False negative rate EFR – Efficiency rate.

Figure 3. (A) Estimated class values and (B) spectral residual probability versus

Mahalanobis distance for Model B.

Table 1. Figures of merit for models A and B.

C__I

GC-MS orAPI-MS

(A)

(A) (B)

(B)