Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 May 14;45(5):429-439.
doi: 10.1093/jat/bkaa126.

LC-QTOF-MS Presumptive Identification of Synthetic Cannabinoids without Reference Chromatographic Retention/Mass Spectral Information. I. Reversed-Phase Retention Time QSPR Prediction as an Aid to Identification of New/Unknown Compounds

Aldo E Polettini  1   2 , Johannes Kutzler  2 , Christoph Sauer  2 , Sergej Bleicher  2 , Wolfgang Schultis  2
Affiliations

LC-QTOF-MS Presumptive Identification of Synthetic Cannabinoids without Reference Chromatographic Retention/Mass Spectral Information. I. Reversed-Phase Retention Time QSPR Prediction as an Aid to Identification of New/Unknown Compounds

Aldo E Polettini et al. J Anal Toxicol. .

Abstract

The application of Quantitative Structure-Property Relationship (QSPR) modeling to the prediction of reversed-phase liquid chromatography retention behavior of synthetic cannabinoids (SC), and its use in aiding the untargeted identification of unknown SC are described in this paper. 1D, 2D molecular descriptors and fingerprints of 105 SC were calculated with PaDEL-Descriptor, selected with Boruta algorithm in R environment, and used to build-up a multiple linear regression model able to predict retention times, relative to JWH-018 N-pentanoic acid-d5 as internal standard, under the following conditions: Agilent ZORBAX Eclipse Plus C18 (100 mm × 2.1 mm I.D., 1.8 μm) column with Phenomenex SecurityGuard Ultra cartridge (C18, 10 mm × 2.1 mm I.D., < 2 μm) kept at 50°C; gradient elution with 5-mM ammonium formate buffer (pH 4 with formic acid) and acetonitrile with 0.01% formic acid, flow rate 0.5 mL/min. The model was validated by repeated k-fold cross-validation using two-thirds of the compounds as training set and one-third as test set (Q2 0.8593; root mean squared error, 0.087, ca. 0.56 min; mean absolute error, 0.060) and by predicting relative Retention Times (rRT) of 5 SC left completely out of the modeling study. Application of the model in routine work showed its capacity to discriminate isomers, to identify unexpected SC in combination with mass spectral information, and to reduce the length of the list of candidate isomers to ca. one-third, thus reducing significantly the time required for predicting high-resolution product ion spectra to be compared to the unknown using a computational Mass Spectrometry (MS) search/identification approach.

PubMed Disclaimer

Similar articles

See all similar articles

Cited by

LinkOut - more resources