期刊论文详细信息
SENSORS AND ACTUATORS B-CHEMICAL 卷:273
Thermal desorption-ion mobility spectrometry: A rapid sensor for the detection of cannabinoids and discrimination of Cannabis sativa L. chemotypes
Article
Contreras, Maria del Mar1  Jurado-Campos, Natividad1  Sanchez-Carnerero Callado, Carolina2  Arroyo-Manzanares, Natalia1  Fernandez, Luis3,4  Casano, Salvatore2  Marco, Santiago3,4  Arce, Lourdes1  Ferreiro-Vera, Carlos2 
[1] Univ Cordoba, Dept Analyt Chem, Inst Fine Chem & Nanochem, Campus Rabanales,Marie Curie Annex Bldg, E-14071 Cordoba, Spain
[2] Phytoplant Res SL, Sci & Technol Pk Cordoba Rabanales 21, Cordoba 14014, Spain
[3] Univ Barcelona, Dept Elect & Biomed Engn, Marti i Franques 1, E-08028 Barcelona, Spain
[4] Barcelona Inst Sci & Technol, Inst Bioengn Catalonia IBEC, Signal & Informat Proc Sensing Syst, Baldiri Reixac 10-12, Barcelona 08028, Spain
关键词: Cannabis sativa L.;    Cannabinoids;    Chemometrics;    Chemotype;    Ion mobility spectrometry;   
DOI  :  10.1016/j.snb.2018.07.031
来源: Elsevier
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【 摘 要 】

Existing analytical techniques used for the determination of cannabinoids in Cannabis sativa L. (Cannabis) plants mostly rely on chromatography-based methods. As a rapid alternative for the direct analysis of them, thermal desorption (TD)-ion mobility spectrometry (IMS) was used for obtaining spectral fingerprints of single cannabinoids from Cannabis plant extracts and from plant residues on hands after their manipulation. The ionization source was Ni-63, with automatic switchable polarity. Although in both ionization modes there were signals in the TD-IMS spectra of the plant extracts and residues that could be assigned to concrete cannabinoids and chemotypes, most of them could not be clearly distinguished. Alternatively, the global spectral data of the plant extracts and residues were pre-processed and then, using principal component analysis (PCA)-linear discriminant analysis (LDA), grouped in function of their chemotype in a more feasible way. Using this approach, the possibility of false positive responses was also studied analyzing other non-Cannabis plants and tobacco, which were clustered in a different group to those of Cannabis. Therefore, TD-IMS, as analytical tool, and PCA-LDA, as a strategy for data reduction and pattern recognition, can be applied for on-site chemotaxonomic discrimination of Cannabis varieties and detection of illegal marijuana since the IMS equipment is portable and the analysis time is highly short.

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