Evidence map›Paper›PMID 35519692›Full record

ArticleRSC advances2020

Development of a "single-click" analytical platform for the detection of cannabinoids in hemp seed oil.

Roberta Risoluti, Giuseppina Gullifa, Alfredo Battistini, Stefano Materazzi

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 35% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Interpol Review of Drug Analysis 2019-2022.Forensic science international. Synergy · 2023
    Review
  7. Review
  8. Article
  9. 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

4 authors at 2 institutions in 1 country.

Roberta RisolutiDepartment of Chemistry, Sapienza University of Rome p.le A. Moro 5 00185 Rome Italy stefano.materazzi@uniroma1.it +390649387137 +390649913616.ORCID https://orcid.org/0000-0002-6213-5387
Giuseppina GullifaDepartment of Chemistry, Sapienza University of Rome p.le A. Moro 5 00185 Rome Italy stefano.materazzi@uniroma1.it +390649387137 +390649913616.
Alfredo BattistiniConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria, Centro di Politiche e Bioeconomia via Pò 14 00198 Italy.
Stefano MaterazziDepartment of Chemistry, Sapienza University of Rome p.le A. Moro 5 00185 Rome Italy stefano.materazzi@uniroma1.it +390649387137 +390649913616.ORCID https://orcid.org/0000-0002-8468-5291
Sapienza University of Rome · ITConsiglio per la ricerca in agricoltura e l’analisi dell’economia agraria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, an innovative screening platform is developed and validated for the on site detection of cannabinoids in hemp seed oil, for food safety control of commercial products. The novelty of this completely automated tool consists of a miniaturized NIR spectrometer operating in a wireless mode that permits processing samples in a rapid and accurate way and to obtain in a single click the early detection of a residual amount of cannabinoids in oil, including cannabidiol (CBD), the psychoactive Δ9-tetrahydrocannabinol (THC) and the Δ9-tetrahydrocannabinolic acid (THCA). Simulated samples were realized to instruct the platform and prediction models were developed by chemometric analysis of the NIR spectra using partial least square regression algorithms. Once calibrated, the platform was used to predict samples acquired in the market and on websites. Validation of the system was achieved by comparing results with those obtained from GC-MS analyses and a good correlation was observed.

Identifiers

PMID35519692
PMCPMC9058129
OpenAlexW3111827718

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.