Evidence map›Paper›PMID 36837980›Full record

ReviewMicromachines2023

Highly-Sensitive, Label-Free Detection of Microorganisms and Viruses via Interferometric Reflectance Imaging Sensor.

Monireh Bakhshpour-Yucel, Sinem Diken Gür, Elif Seymour, Mete Aslan, Nese Lortlar Ünlü, M Selim Ünlü

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Micromachines, 2023. 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. 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

6 authors.

Monireh Bakhshpour-YucelDepartment of Electrical Engineering, Photonics Center, Boston University, Boston, MA 02215, USA.ORCID 0000-0002-5737-720X
Sinem Diken GürDepartment of Biotechnology, Hacettepe University, Ankara 06800, Turkey.ORCID 0000-0001-6105-4609
Elif SeymourLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada.
Mete AslanDepartment of Electrical Engineering, Photonics Center, Boston University, Boston, MA 02215, USA.
Nese Lortlar ÜnlüDepartment of Biomedical Engineering, Photonics Center, Boston University, Boston, MA 02215, USA.
M Selim ÜnlüDepartment of Electrical Engineering, Photonics Center, Boston University, Boston, MA 02215, USA.ORCID 0000-0002-8594-892X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogenic microorganisms and viruses can easily transfer from one host to another and cause disease in humans. The determination of these pathogens in a time- and cost-effective way is an extreme challenge for researchers. Rapid and label-free detection of pathogenic microorganisms and viruses is critical in ensuring rapid and appropriate treatment. Sensor technologies have shown considerable advancements in viral diagnostics, demonstrating their great potential for being fast and sensitive detection platforms. In this review, we present a summary of the use of an interferometric reflectance imaging sensor (IRIS) for the detection of microorganisms. We highlight low magnification modality of IRIS as an ensemble biomolecular mass measurement technique and high magnification modality for the digital detection of individual nanoparticles and viruses. We discuss the two different modalities of IRIS and their applications in the sensitive detection of microorganisms and viruses.

Indexed as

biomass measurementinterferometric reflectance imaging sensornanoparticle detectionpathogenic microorganismssensitive detectionviruses

Identifiers

PMID36837980
PMCPMC9960798

What Socratic 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 Socratic graph.