Evidence map›Paper›PMID 36697529›Full record

ArticleCommunications chemistry2021

Hand-portable HPLC with broadband spectral detection enables analysis of complex polycyclic aromatic hydrocarbon mixtures.

Stelios Chatzimichail, Faraz Rahimi, Aliyah Saifuddin, Andrew J Surman, Simon D Taylor-Robinson, Ali Salehi-Reyhani

Abstract read
In one paragraph

Article in Communications chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Periodic Flows in Microfluidics.Small (Weinheim an der Bergstrasse, Germany) · 2024
    Review
  4. Article
  5. Review
  6. Article
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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.

Stelios ChatzimichailDepartment of Surgery and Cancer, Imperial College London, London, W12 0HS, UK.ORCID http://orcid.org/0000-0001-5289-3208
Faraz RahimiDepartment of Surgery and Cancer, Imperial College London, London, W12 0HS, UK.
Aliyah SaifuddinDepartment of Surgery and Cancer, Imperial College London, London, W12 0HS, UK.
Andrew J SurmanDepartment of Chemistry, King's College London, London, SE1 1DB, UK.ORCID http://orcid.org/0000-0002-2042-7373
Simon D Taylor-RobinsonDepartment of Surgery and Cancer, Imperial College London, London, W12 0HS, UK.
Ali Salehi-ReyhaniDepartment of Surgery and Cancer, Imperial College London, London, W12 0HS, UK. ali.salehi-reyhani@imperial.ac.uk.ORCID http://orcid.org/0000-0002-1084-2012

Funding

Wellcome Trust
6 · The paper itself

Abstract

Polycyclic aromatic hydrocarbons (PAHs) are considered priority hazardous substances due to their carcinogenic activity and risk to public health. Strict regulations are in place limiting their release into the environment, but enforcement is hampered by a lack of adequate field-testing procedure, instead relying on sending samples to centralised analytical facilities. Reliably monitoring levels of PAHs in the field is a challenge, owing to the lack of field-deployable analytical methods able to separate, identify, and quantify the complex mixtures in which PAHs are typically observed. Here, we report the development of a hand-portable system based on high-performance liquid chromatography incorporating a spectrally wide absorption detector, capable of fingerprinting PAHs based on their characteristic spectral absorption profiles: identifying 100% of the 24 PAHs tested, including full coverage of the United States Environmental Protection Agency priority pollutant list. We report unsupervised methods to exploit these new capabilities for feature detection and identification, robust enough to detect and classify co-eluting and hidden peaks. Identification is fully independent of their characteristic retention times, mitigating matrix effects which can preclude reliable determination of these analytes in challenging samples. We anticipate the platform to enable more sophisticated analytical measurements, supporting real-time decision making in the field.

Identifiers

PMID36697529
PMCPMC9814556

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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.