# ATR-FTIR spectroscopy and LDA: a rapid, non-destructive and cost effective strategy to trace the geographical origin of Cannabis sativa L

**Authors:** Mariana F Ramos, Chad A Kinney, João A Coblinski, Mauro S Fett, Deborah P Dick, Flávio A de Oliveira Camargo

PMC · DOI: 10.1093/fsr/owae016 · Forensic Sciences Research · 2024-02-07

## TL;DR

This study uses ATR-FTIR and LDA to accurately trace the geographical origin of Cannabis samples from Brazil and Colorado.

## Contribution

The study introduces a novel, non-destructive, and cost-effective method for Cannabis traceability using ATR-FTIR and LDA.

## Key findings

- ATR-FTIR combined with LDA achieved up to 95.23% accuracy in tracing Cannabis origin in Brazil.
- The method achieved 100% accuracy for Cannabis samples from Colorado.
- The technique is rapid, non-destructive, and suitable for quality control and forensic purposes.

## Abstract

Cannabis recreational and/or medicinal use has been legalized in the past years in many states and countries. As a consequence, many Cannabis growers and product developers have emerged in a new market throughout the world; at the same time, issues regarding questionable quality control have also risen, as several reports on Cannabis users’ health-related problems caused by inaccurate labeling content in Cannabis-based medicines, edibles or other derivatives are being published and brought out to the public’s attention. These facts make traceability methodologies crucial whether for forensic use, such as drug trafficking eradication, or for quality control purposes of legal Cannabis and of products derived from it. Hence, the objective of this study was to analyze Cannabis by means of attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) to assess the capability of this technique to trace the geographical origin of Cannabis cultivated in Brazil and in Colorado, USA. Forty-seven samples from Brazil and 18 samples from Colorado were analyzed by ATR-FTIR. Linear discriminant analysis (LDA) was employed to source the samples. The combination of ATR-FTIR and LDA achieved up to 95.23% accuracy in assigning Cannabis samples to their geographical locations of origin in Brazil and up to 100% in Colorado.

## Full-text entities

- **Diseases:** marijuana (MESH:D000074609), toxicity (MESH:D064420), LDA (MESH:D010468), seizure (MESH:D012640)
- **Chemicals:** germanium (MESH:D005857), asphalt (MESH:C006647), zinc selenide (MESH:C044696), oil (MESH:D009821)
- **Species:** Cannabis sativa (species) [taxon 3483], Homo sapiens (human, species) [taxon 9606], Meleagris gallopavo (common turkey, species) [taxon 9103]

## Full text

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## Figures

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## References

38 references — full list in the complete paper: https://tomesphere.com/paper/PMC12121353/full.md

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Source: https://tomesphere.com/paper/PMC12121353