Evidence map›Paper›PMID 35684451›Full record

ArticleMolecules (Basel, Switzerland)2022

NMR Spectroscopy Applied to the Metabolic Analysis of Natural Extracts of

Maria Francesca Colella, Rosachiara Antonia Salvino, Martina Gaglianò, Federica Litrenta, Cesare Oliviero Rossi, Adolfo Le Pera, Giuseppina De Luca

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Maria Francesca ColellaDepartment of Chemistry and Chemical Technologies (CTC), University of Calabria-UNICAL, Via P. Bucci 14C, 87036 Arcavacata di Rende, Italy.
Rosachiara Antonia SalvinoDepartment of Chemistry and Chemical Technologies (CTC), University of Calabria-UNICAL, Via P. Bucci 14C, 87036 Arcavacata di Rende, Italy.ORCID 0000-0002-1561-5214
Martina GaglianòDepartment of Chemistry and Chemical Technologies (CTC), University of Calabria-UNICAL, Via P. Bucci 14C, 87036 Arcavacata di Rende, Italy.
Federica LitrentaDepartment of Biomedical, Dental and Morphological and Functional Imaging Sciences (Biomorf), University of Messina, Polo Universitario dell'Annunziata, 98168 Messina, Italy.ORCID 0000-0002-3207-8561
Cesare Oliviero RossiDepartment of Chemistry and Chemical Technologies (CTC), University of Calabria-UNICAL, Via P. Bucci 14C, 87036 Arcavacata di Rende, Italy.ORCID 0000-0003-4406-7824
Adolfo Le PeraCalabra Maceri e Servizi s.p.a., Via M. Polo 54, 87036 Rende, Italy.
Giuseppina De LucaDepartment of Chemistry and Chemical Technologies (CTC), University of Calabria-UNICAL, Via P. Bucci 14C, 87036 Arcavacata di Rende, Italy.ORCID 0000-0002-7509-2232
University of Calabria · ITUniversity of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cannabis sativa is a herbaceous multiple-use species commonly employed to produce fiber, oil, and medicine. It is now becoming popular for the high nutritional properties of its seed oil and for the pharmacological activity of its cannabinoid fraction in inflorescences. The present study aims to apply nuclear magnetic resonance (NMR) spectroscopy to provide useful qualitative and quantitative information on the chemical composition of seed and flower Cannabis extracts obtained by ultra-sound-assisted extraction, and to evaluate NMR as an alternative to the official procedure for the quantification of cannabinoids. The estimation of the optimal ω-6/ω-3 ratio from the 1H NMR spectrum for the seed extracts of the Futura 75 variety and the quantitative results from the 1H and 13C NMR spectra for the inflorescence extracts of the Tiborszallasi and Kompolti varieties demonstrate that NMR technology represents a good alternative to classical chromatography, supplying sufficiently precise, sensitive, rapid, and informative data without any sample pre-treatment. In addition, different extraction procedures were tested and evaluated to compare the elaboration of spectral data with the principal component analysis (PCA) statistical method and the quantitative NMR results: the extracts obtained with higher polarity solvents (acetone or ethanol) were poor in psychotropic agents (THC < LOD) but had an appreciable percentage of both cannabinoids and triacylgliceroles (TAGs). These bioactive-rich extracts could be used in the food and pharmaceutical industries, opening new pathways for the production of functional foods and supplements.

Indexed as

CannabinoidsCannabisInflorescenceMagnetic Resonance SpectroscopyPlant ExtractsCannabinoidsPlant Extractscannabinoid extractionCannabis sativa L.metabolic profileNMR spectroscopyprincipal component analysisqNMR

Identifiers

PMID35684451
PMCPMC9182145
OpenAlexW4282044632

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.