Evidence map›Paper›PMID 38290431›Full record

ArticleAnalytical chemistry2024

On-Site Fluorescent Detection of Sepsis-Inducing Bacteria using a Graphene-Oxide CRISPR-Cas12a (GO-CRISPR) System.

Tom Kasputis, Yawen He, Qiaoqiao Ci, Juhong Chen

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
9.8field-weighted citation impact, top 1% 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

14 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
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  10. Review
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  12. Optical Bionanosensors for Sepsis Diagnostics.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Review
  13. Review
  14. 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

4 authors at 2 institutions in 1 country.

Tom KasputisDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0000-0003-0772-0599
Yawen HeDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Qiaoqiao CiDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Juhong ChenDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0000-0002-6484-2739
Virginia Tech · USUniversity of California, Riverside · US

Funding

Novel Approaches to detect and treat sepsisR35GM147069 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI Juhong Chen · 2022 to 2026
$2.0M
NIGMS NIH HHS R35 GM147069
6 · The paper itself

Abstract

Sepsis is an extremely dangerous medical condition that emanates from the body's response to a pre-existing infection. Early detection of sepsis-inducing bacterial infections can greatly enhance the treatment process and potentially prevent the onset of sepsis. However, current point-of-care (POC) sensors are often complex and costly or lack the ideal sensitivity for effective bacterial detection. Therefore, it is crucial to develop rapid and sensitive biosensors for the on-site detection of sepsis-inducing bacteria. Herein, we developed a graphene oxide CRISPR-Cas12a (GO-CRISPR) biosensor for the detection of sepsis-inducing bacteria in human serum. In this strategy, single-stranded (ssDNA) FAM probes were quenched with single-layer graphene oxide (GO). Target-activated Cas12a

Indexed as

Bacterial InfectionsBiosensing TechniquesGraphiteSepsisBacteriaColoring AgentsCRISPR-Cas SystemsHumansOxidesColoring Agentsgraphene oxideGraphiteOxides

Identifiers

PMID38290431
PMCPMC10867801
OpenAlexW4391337096

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.