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Clasificación de opioides ilícitos adulterados mediante máquina de vectores de soporte y espectrometría de masas con

Allie Miskulin¹, Bruce Wallace^2,3, Chris G Gill^1,3,4,5

¹Department of Chemistry, University of Victoria, Victoria, British Columbia V8W 3V6, Canada.

Analytical chemistry

|December 26, 2025

Resumen

Nuevos métodos de verificación de drogas utilizan el aprendizaje automático para detectar adulterantes de fentanilo desconocidos en muestras de opioides. Este enfoque mejora la seguridad pública al identificar sustancias emergentes en el suministro de drogas.

Sus antecedentes:

El suministro de opioides ilícitos en América del Norte es complejo y potente, lo que representa un riesgo para los consumidores de drogas.
Los métodos actuales de verificación de drogas, como la espectrometría de masas con pulverización en papel (PS-MS) dirigida, tienen dificultades para detectar nuevas sustancias psicoactivas.
Los adulterantes emergentes en las drogas ilícitas requieren técnicas analíticas avanzadas para una identificación oportuna.

Conclusiones:

El enfoque SVM desarrollado identifica eficazmente los adulterantes a partir de datos de espectrometría de masas durante el análisis rutinario de drogas.
Este método mejora la capacidad de los programas de verificación de drogas para detectar sustancias nuevas y emergentes.
Los hallazgos ofrecen una nueva estrategia para mejorar la seguridad del suministro de drogas ilícitas.

Palabras clave:

fentanilo opioides adulterantes espectrometría de masas aprendizaje automático química forense verificación de drogas

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