A novel handheld FT-NIR spectroscopic approach for real-time screening of major cannabinoids content in hemp

Autor:	Siyu Yao, Christopher Ball, Gonzalo Miyagusuku-Cruzado, M. Monica Giusti, Didem P. Aykas, Luis E. Rodriguez-Saona
Rok vydání:	2022
Předmět:	Spectroscopy Near-Infrared Cannabinoids Tandem Mass Spectrometry Cannabidiol Dronabinol Analytical Chemistry Cannabis
Zdroj:	Talanta. 247
ISSN:	1873-3573
Popis:	A novel approach for rapid (15s) detection and quantification of predominant cannabinoids in hemp was developed using Fourier-transformed near-infrared spectroscopy (FT-NIR), enabling real-time and field-based applications. Hemp samples (n = 91) were obtained from certified online vendors, the OARDC Weed Lab, and a local Ohio farm. Reference data of major cannabinoids content were determined by uHPLC-MS/MS. Spectral data were collected by a miniaturized, battery-operated FT-NIR instrument, and combined with the reference data to generate partial least squares regression (PLSR) models. uHPLC-MS/MS analysis showed two samples had over 0.36% of Δ9-tetrahydrocannabinol (Δ
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bbe1725db867431febd50c8ac023cc8 https://pubmed.ncbi.nlm.nih.gov/35636366 Zobrazit plný text záznamu Full Text from ScienceDirect