Evidence map›Paper›PMID 26858127›Full record

ArticleScientific reports2016

Towards ultrasensitive malaria diagnosis using surface enhanced Raman spectroscopy.

Keren Chen, Clement Yuen, Yaw Aniweh, Peter Preiser, Quan Liu

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
8.2field-weighted citation impact, top 2% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

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  7. Multi-Omics Advancements towardsDiagnostics (Basel, Switzerland) · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Keren ChenSchool of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637457.
Clement YuenSchool of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637457.
Yaw AniwehSchool of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637457.
Peter PreiserSchool of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637457.
Quan LiuSchool of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637457.
Nanyang Technological University · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report two methods of surface enhanced Raman spectroscopy (SERS) for hemozoin detection in malaria infected human blood. In the first method, silver nanoparticles were synthesized separately and then mixed with lysed blood; while in the second method, silver nanoparticles were synthesized directly inside the parasites of Plasmodium falciparum. It was observed that the first method yields a smaller variation in SERS measurements and stronger correlation between the estimated contribution of hemozoin and the parasitemia level, which is preferred for the quantification of the parasitemia level. In contrast, the second method yields a higher sensitivity to a low parasitemia level thus could be more effective in the early malaria diagnosis to determine whether a given blood sample is positive.

Indexed as

ErythrocytesHemeproteinsHumansMalaria, FalciparumMetal NanoparticlesPlasmodium falciparumSilverSpectrum Analysis, RamanHemeproteinshemozoinSilver

Identifiers

PMID26858127
PMCPMC4746575
OpenAlexW2288916557

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.