Evidence map›Paper›PMID 33283361›Full record

ArticleRapid communications in mass spectrometry : RCM2021

SPIX: A new software package to reveal chemical reactions at trace amounts in very complex mixtures from high-resolution mass spectra dataset.

Edith Nicol, Yao Xu, Zsuzsanna Varga, Said Kinani, Stéphane Bouchonnet, Marc Lavielle

Abstract read
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Edith NicolLaboratoire de Chimie Moléculaire, CNRS - IP Paris, Ecole polytechnique, Route de Saclay, Palaiseau, 91128, France.ORCID https://orcid.org/0000-0001-8791-9949
Yao XuCentre de Mathématiques Appliquées, CNRS - IP Paris, Ecole polytechnique, Route de Saclay, Palaiseau, 91128, France.
Zsuzsanna VargaLaboratoire de Chimie Moléculaire, CNRS - IP Paris, Ecole polytechnique, Route de Saclay, Palaiseau, 91128, France.ORCID https://orcid.org/0000-0001-6329-2125
Said KinaniLaboratoire National d'Hydraulique et Environnement (LNHE), Division Recherche et Développement, Electricité de France (EDF), 6 Quai de Watier, Chatou Cedex 01, 78401, France.ORCID https://orcid.org/0000-0001-9055-1292
Stéphane BouchonnetLaboratoire de Chimie Moléculaire, CNRS - IP Paris, Ecole polytechnique, Route de Saclay, Palaiseau, 91128, France.ORCID https://orcid.org/0000-0003-2636-1093
Marc LavielleCentre de Mathématiques Appliquées, CNRS - IP Paris, Ecole polytechnique, Route de Saclay, Palaiseau, 91128, France.ORCID https://orcid.org/0000-0003-2680-6339

Funding

European Union's Horizon 2020 research and innovation program Marie Skłodowska-Curie Grant Agreement No 765860Inria (Institut national de recherche en informatique et en automatique)National FT-ICR network (FR 3624 CNRS)
6 · The paper itself

Abstract

rationaleHigh-resolution mass spectrometry based non-targeted screening has a huge potential for applications in environmental sciences, engineering and regulation. However, it produces large datasets for which full appropriate processing is a real challenge; the development of processing software is the last building-block to enable large-scale use of this approach.

methodsA new software application, SPIX, has been developed to extract relevant information from high-resolution mass spectral datasets. Dealing with intrinsic sample variability and reducing operator subjectivity, it opens up opportunities and promising prospects in many areas of analytical chemistry. SPIX is freely available at: http://spix.webpopix.org.

resultsTwo features of the software are presented in the field of environmental analysis. An example illustrates how SPIX reveals photodegradation reactions in wastewater by fitting kinetic models to significant changes in ion abundance over time. A second example shows the ability of SPIX to detect photoproducts at trace amounts in river water, through comparison of datasets from samples taken before and after irradiation.

conclusionsSPIX has shown its ability to reveal relevant modifications between two series of large datasets, allowing, for instance, the study of the consequences of a given event on a complex substrate. Most of all - and it is to our knowledge the only software currently available allowing this - it can reveal and monitor any kind of reaction in all types of mixture.

Identifiers

PMID33283361
PMCPMC7900974

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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.