Evidence map›Paper›PMID 37765788›Full record

ArticleSensors (Basel, Switzerland)2023

Electrochemical Sensing Platform Based on Carbon Dots for the Simultaneous Determination of Theophylline and Caffeine in Tea.

Paola Di Matteo, Alessandro Trani, Martina Bortolami, Marta Feroci, Rita Petrucci, Antonella Curulli

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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
–field-weighted citation impact
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.

  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

6 authors.

Paola Di MatteoDepartment of Basic and Applied Sciences for Engineering, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0001-8837-6317
Alessandro TraniConsiglio Nazionale Delle Ricerche, Istituto per lo Studio dei Materiali Nanostrutturati, Unità Operativa di Supporto, Sapienza, 00161 Rome, Italy.
Martina BortolamiDepartment of Basic and Applied Sciences for Engineering, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0001-5740-6499
Marta FerociDepartment of Basic and Applied Sciences for Engineering, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0002-3673-6509
Rita PetrucciDepartment of Basic and Applied Sciences for Engineering, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0003-2411-825X
Antonella CurulliConsiglio Nazionale Delle Ricerche, Istituto per lo Studio dei Materiali Nanostrutturati, Unità Operativa di Supporto, Sapienza, 00161 Rome, Italy.ORCID 0000-0003-4755-7669

Funding

Sapienza University of Rome RM12117A339284EESapienza University of Rome RP11715C63A2EC44
6 · The paper itself

Abstract

A simple and selective method for the determination of caffeine (CAF) and theophylline (THEO) has been developed for a glassy carbon electrode (GCE) modified with a composite including carbon dots (CDs) and chitosan (CS). To our knowledge, there are no previous studies that analyze a CDs-modified GCE for the presence of CAF and THEO. The electrochemical behavior of a GCE modified with a CDs-CS composite was studied in acidic medium by cyclic voltammetry (CV) and differential pulse voltammetry (DPV). Considering the sensor analytical parameters, the same linear concentrations range was found for CAF and THEO ranging from 1 × 10

Indexed as

CaffeineChitosanCarbonPhosphatesReproducibility of ResultsTeaTheophyllineCaffeineCarbonChitosanPhosphatessodium polymetaphosphateTeaTheophyllinecaffeinecarbon dots-modified electrodedrugglassy carbon electrodeHPLC-ESI-MSscreen-printed carbon electrodeteatheophylline

Identifiers

PMID37765788
PMCPMC10535149

What OpenQuestion holds

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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.