Evidence map›Paper›PMID 27429301›Full record

ArticleAnalytical chemistry2016

Rapid Detection of Bacteria from Blood with Surface-Enhanced Raman Spectroscopy.

Anna K Boardman, Winnie S Wong, W Ranjith Premasiri, Lawrence D Ziegler, Jean C Lee, Milos Miljkovic, Catherine M Klapperich, Andre Sharon, Alexis F Sauer-Budge

Abstract read
In one paragraph

Article in Analytical chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

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

  1. Pooled it
  2. Article
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  6. Fluorescent carbon dots for discriminating cell types: a review.Analytical and bioanalytical chemistry · 2024
    Review
  7. Article
  8. Review
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  10. Review
  11. Article
  12. Review
  13. Article
  14. Rapid, Label-Free Prediction of Antibiotic Resistance inInternational journal of molecular sciences · 2022
    Article
  15. Machine learning analysis of SERS fingerprinting for the rapid determination ofComputational and structural biotechnology journal · 2022
    Article
  16. Article
  17. Review
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  19. 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

9 authors.

Anna K BoardmanFraunhofer Center for Manufacturing Innovation, 15 Saint Mary's Street, Brookline, Massachusetts 02446, United States.
Winnie S WongDepartment of Biomedical Engineering, Boston University , 44 Cummington Mall, Boston, Massachusetts 02215, United States.
W Ranjith PremasiriDepartment of Chemistry and The Photonics Center, Boston University , 8 Saint Mary's Street, Boston, Massachusetts 02215, United States.
Lawrence D ZieglerDepartment of Chemistry and The Photonics Center, Boston University , 8 Saint Mary's Street, Boston, Massachusetts 02215, United States.
Jean C LeeDivision of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School , 181 Longwood Avenue, Boston, Massachusetts 02115, United States.
Milos MiljkovicDepartment of Mechanical Engineering, Tufts University , 200 College Avenue, Medford, Massachusetts 02155, United States.
Catherine M KlapperichDepartment of Biomedical Engineering, Boston University , 44 Cummington Mall, Boston, Massachusetts 02215, United States.
Andre SharonFraunhofer Center for Manufacturing Innovation, 15 Saint Mary's Street, Brookline, Massachusetts 02446, United States.
Alexis F Sauer-BudgeFraunhofer Center for Manufacturing Innovation, 15 Saint Mary's Street, Brookline, Massachusetts 02446, United States.

Funding

Bacterial Drug Susceptibility Identification by Surface Enhanced Raman MicroscopyR01AI090815 · NIAID · FRAUNHOFER CENTER /MANUFACTURING INNOV · PI SAUER-BUDGE, ALEXIS F · 2010 to 2014
$4.0M
NIAID NIH HHS R01 AI090815
6 · The paper itself

Abstract

Traditional methods for identifying pathogens in bacteremic patients are slow (24-48+ h). This can lead to physicians making treatment decisions based on an incomplete diagnosis and potentially increasing the patient's mortality risk. To decrease time to diagnosis, we have developed a novel technology that can recover viable bacteria directly from whole blood and identify them in less than 7 h. Our technology combines a sample preparation process with surface-enhanced Raman spectroscopy (SERS). The sample preparation process enriches viable microorganisms from 10 mL of whole blood into a 200 μL aliquot. After a short incubation period, SERS is used to identify the microorganisms. We further demonstrated that SERS can be used as a broad detection method, as it identified a model set of 17 clinical blood culture isolates and microbial reference strains with 100% identification agreement. By applying the integrated technology of sample preparation and SERS to spiked whole blood samples, we were able to correctly identify both Staphylococcus aureus and Escherichia coli 97% of the time with 97% specificity and 88% sensitivity.

Indexed as

Escherichia coliHumansSpectrum Analysis, RamanStaphylococcus aureusSurface Properties

Identifiers

PMID27429301
PMCPMC4988670

What Socratic 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 Socratic graph.