Evidence map›Paper›PMID 35152330›Full record

ArticleMikrochimica acta2022

3D-printed electrochemical pestle and mortar for identification of falsified pharmaceutical tablets.

Ricoveer S Shergill, Anna Farlow, Fernando Perez, Bhavik A Patel

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

3 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 1 institution in 1 country.

Ricoveer S ShergillSchool of Applied Sciences, Brighton, BN2 4GJ, UK.ORCID http://orcid.org/0000-0001-5387-1799
Anna FarlowSchool of Applied Sciences, Brighton, BN2 4GJ, UK.
Fernando PerezSchool of Applied Sciences, Brighton, BN2 4GJ, UK.ORCID http://orcid.org/0000-0002-9753-0416
Bhavik A PatelSchool of Applied Sciences, Brighton, BN2 4GJ, UK. b.a.patel@brighton.ac.uk.ORCID http://orcid.org/0000-0002-8773-3850
University of Brighton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Falsified medicines and healthcare supplements provide a major risk to public health and thus early identification is critical. Although a host of analytical approaches have been used to date, they are limited, as they require extensive sample preparation, are semi-quantitative and/or are inaccessible to low- and middle-income countries. Therefore, for the first time, we report a simple total analysis system which can rapidly and accurately detect falsified medicines and healthcare supplements. We fabricated a poly-lactic acid (PLA) pestle and mortar and using a commercial 3D printer, then made carbon black/PLA (CB/PLA) electrodes in the base of the mortar using a 3D printing pen to make an electrochemical cell. The pestle and mortar were able to crush and grind the tablets into a fine powder to the same consistency as a standard laboratory pestle and mortar. Using melatonin tablets to characterise the device, the 3D-printed pestle and mortar was able to detect the concentration of melatonin in the presence of insoluble excipients. The calibration plot showed a linear response from 37.5 to 300 µg/mL, where the limit of detection was 7 µg/mL. Electrochemical treatment was able to regenerate the CB/PLA working electrode allowing for repeated use of the device. In a blinded study, the device was able to accurately determine falsified melatonin tablets with recovery percentages between 101% and 105%. This was comparable to HPLC measurements. Overall, these findings highlight that our 3D-printed electrochemical pestle and mortar is an accessible and effective total analysis system that can have the ability to identify falsified medicines and healthcare supplements in remote locations.

Indexed as

Electrochemical TechniquesPrinting, Three-DimensionalCentral Nervous System DepressantsElectrodesLegislation, DrugMelatoninPolyestersTabletsCentral Nervous System DepressantsMelatoninPolyesterspoly(lactide)Tablets3D-printed electrodesCarbon blackFalsified medicinesMelatoninPestle and mortarPharmaceutical analysisVitamin C

Identifiers

PMID35152330
OpenAlexW4211185131

What OpenQuestion holds

Textmetadata
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.