Evidence map›Paper›PMID 31746916›Full record

ReviewNanoscale2019

Effective detection of bacteria using metal nanoclusters.

Dan Li, Beena Kumari, Jessa Marie Makabenta, Akash Gupta, Vincent Rotello

Abstract readReview
In one paragraph

Review in Nanoscale, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Chimeric hBPIArchives of microbiology · 2025
    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

5 authors.

Dan LiDepartment of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, Massachusetts 01003, USA. rotello@chem.umass.edu.
Beena Kumari
Jessa Marie Makabenta
Akash Gupta
Vincent Rotello

Funding

Engineered Polymer Nanoemulsions for Treatment of Wound Biofilm InfectionsR01AI134770 · NIAID · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Robin Patel, VINCENT M. ROTELLO · 2018 to 2026
$3.5M
NIAID NIH HHS R01 AI134770
6 · The paper itself

Abstract

Antibiotic-resistant bacterial infections cause more than 700 000 deaths each year worldwide. Detection of bacteria is critical in limiting infection-based damage. Nanomaterials provide promising sensing platforms owing to their ability to access new interaction modalities. Nanoclusters feature sizes smaller than traditional nanomaterials, providing great sensitive ability for detecting analytes. The distinct optical and catalytic properties of nanoclusters combined with their biocompatibility enables them as efficient biosensors. In this review, we summarize multiple strategies that utilize nanoclusters for detection of pathogenic bacteria.

Indexed as

Aptamers, NucleotideBacteriaCatalysisHydrogen-Ion ConcentrationMagneticsMetal NanoparticlesMuramidasePoint-of-Care SystemsAptamers, NucleotideMuramidase

Identifiers

PMID31746916
PMCPMC8582014

What OpenQuestion holds

Textmetadata
LicenceTDM
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.