Evidence map›Paper›PMID 29935091›Full record

ArticleRapid communications in mass spectrometry : RCM2018

Triboelectric Nanogenerator (TENG) Mass Spectrometry of Falsified Antimalarials.

Matthew C Bernier, Anyin Li, Laura Winalski, Yunlong Zi, Yafeng Li, Celine Caillet, Paul Newton, Zhong Lin Wang, Facundo M Fernández

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  4. Article
  5. Review
  6. Triboelectric Nanogenerator (TENG) Mass Spectrometry of Falsified Antimalarials.Rapid communications in mass spectrometry : RCM · 2018
    Article
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

9 authors.

Matthew C BernierSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Anyin LiSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Laura WinalskiSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Yunlong ZiSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Yafeng LiSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Celine CailletLao-Oxford-Mahosot Hospital Wellcome Trust Research Unit (LOMWRU), Laos and Worldwide Antimalarial Resistance Network, Centre for Tropical Medicine & Global Health, University of Oxford, Oxford, UK.
Paul NewtonLao-Oxford-Mahosot Hospital Wellcome Trust Research Unit (LOMWRU), Laos and Worldwide Antimalarial Resistance Network, Centre for Tropical Medicine & Global Health, University of Oxford, Oxford, UK.
Zhong Lin WangSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Facundo M FernándezSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, 30332, USA.ORCID http://orcid.org/0000-0002-0302-2534

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleAn epidemic of low quality medicines continues to endanger patients worldwide. Detection of such "medicines" requires low cost, ambient ionization sources coupled to fieldable mass spectrometers for optimum sensitivity and specificity. With the use of triboelectric nanogenerators (TENGs), the charge required to produce gas-phase ions for mass analysis can be obtained without the need for high voltage electrical circuitry, simplifying and lowering the cost of next-generation mass spectrometry instruments.

methodsA sliding freestanding (SF) TENG was coupled to a toothpick electrospray setup for the purposes of testing if falsified medicines could be fingerprinted by this approach. Extracts from both genuine and falsified medicines were deposited on the toothpick and the SF TENG actuated to generate electrical charges, resulting in gas-phase ions for both active pharmaceutical ingredients and excipients.

resultsOur previous work had shown that direct analysis in real-time (DART) ambient mass spectrometry can identify the components of multiple classes of falsified antimalarial medicines. Experiments performed in this study show that a simple extraction into methanol along with the use of a SF TENG-powered toothpick electrospray can provide similar detection capabilities, but with much simpler and rugged instrumentation, and without the need for compressed gases or high voltage ion source power supplies.

conclusionsTENG toothpick MS allows for rapid analyte ion detection in a safe and low-cost manner, providing robust sampling and ionization capabilities.

Identifiers

PMID29935091
PMCPMC6120538

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Registered trials

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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.