Evidence map›Paper›PMID 39599157›Full record

ArticleSensors (Basel, Switzerland)2024

Microdetection of Nucleocapsid Proteins via Terahertz Chemical Microscope Using Aptamers.

Xue Ding, Mana Murakami, Jin Wang, Hirofumi Inoue, Toshihiko Kiwa

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Xue DingGraduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama 700-8530, Japan.
Mana MurakamiGraduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama 700-8530, Japan.
Jin WangGraduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama 700-8530, Japan.ORCID 0000-0001-5797-7697
Hirofumi InoueGraduate School of Medicine Dentistry and Pharmaceutical Sciences, Okayama University Hospital, Okayama 700-8558, Japan.
Toshihiko KiwaGraduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama 700-8530, Japan.ORCID 0000-0002-6594-2096

Funding

Japan Society for the Promotion of Science 23K22770JST SPRING, Japan JPMJSP2126
6 · The paper itself

Abstract

In the detection of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), several methods have been employed, including the detection of viral ribonucleic acid (RNA), nucleocapsid (N) proteins, spike proteins, and antibodies. RNA detection, primarily through polymerase chain reaction tests, targets the viral genetic material, whereas antigen tests detect N and spike proteins to identify active infections. In addition, antibody tests are performed to measure the immune response, indicating previous exposure or vaccination. Here, we used the developed terahertz chemical microscope (TCM) to detect different concentrations of N protein in solution by immobilizing aptamers on a semiconductor substrate (sensing plate) and demonstrated that the terahertz amplitude varies as the concentration of N proteins increases, exhibiting a highly linear relationship with a coefficient of determination (R

Indexed as

Aptamers, NucleotideCOVID-19SARS-CoV-2Biosensing TechniquesCoronavirus Nucleocapsid ProteinsHumansMicroscopyNucleocapsid ProteinsPhosphoproteinsRNA, ViralAptamers, NucleotideCoronavirus Nucleocapsid Proteinsnucleocapsid phosphoprotein, SARS-CoV-2Nucleocapsid ProteinsPhosphoproteinsRNA, ViralaptamersmicrodetectionN proteinterahertz chemical microscope

Identifiers

PMID39599157
PMCPMC11598353

What OpenQuestion holds

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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.