Evidence map›Paper›PMID 25801042›Full record

ArticleScientific reports2015

Portable microfluidic integrated plasmonic platform for pathogen detection.

Onur Tokel, Umit Hakan Yildiz, Fatih Inci, Naside Gozde Durmus, Okan Oner Ekiz, Burak Turker, Can Cetin, Shruthi Rao, Kaushik Sridhar, Nalini Natarajan and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Article
  2. Advances in biosensors for bacterial detection and identification.World journal of microbiology & biotechnology · 2025
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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

13 authors.

Onur TokelDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Center for Biomedical Engineering, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Umit Hakan YildizDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Stanford University School of Medicine, Canary Center at Stanford for Cancer Early Detection, Palo Alto, CA, USA.
Fatih InciDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Stanford University School of Medicine, Canary Center at Stanford for Cancer Early Detection, Palo Alto, CA, USA.
Naside Gozde Durmus1] Department of Biochemistry, Stanford School of Medicine, Stanford, CA, USA [2] Stanford Genome Technology Center, Stanford University, Palo Alto, CA, USA.
Okan Oner EkizUNAM Institute of Materials Science and Nanotechnology, Bilkent University, 06800 Ankara, Turkey.
Burak TurkerUNAM Institute of Materials Science and Nanotechnology, Bilkent University, 06800 Ankara, Turkey.
Can CetinDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Center for Biomedical Engineering, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Shruthi RaoDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Center for Biomedical Engineering, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Kaushik SridharDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Center for Biomedical Engineering, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Nalini NatarajanDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Center for Biomedical Engineering, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Hadi ShafieeDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Center for Biomedical Engineering, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Aykutlu DanaUNAM Institute of Materials Science and Nanotechnology, Bilkent University, 06800 Ankara, Turkey.
Utkan Demirci1] Demirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Center for Biomedical Engineering, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA [2] Demirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Stanford University School of Medicine, Canary Center at Stanford for Cancer Early Detection, Palo Alto, CA, USA.

Funding

Rapid Fluorescence-Based Determination of Antibiotic SusceptibilityU54EB015408 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI PARRISH, JOHN A, SCHACHTER, STEVEN · 2012 to 2022
$49.2M
Point-of-Care Rapid Blood Testing Using Microfluidic DevicesR01AI081534 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI DEMIRCI, UTKAN · 2009 to 2013
$2.1M
Novel disposable microchips for HIV-1 viral loadR01AI093282 · NIAID · STANFORD UNIVERSITY · PI DEMIRCI, UTKAN · 2012 to 2015
$1.7M
Antibody-based cell purification at resource limited setting for HIVR21AI087107 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI DEMIRCI, UTKAN · 2010 to 2011
$488k
Label-free HIV-1 Viral Load Measurement through a Contactless Electrode MicrochipF32AI102590 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI SHAFIEE, HADI · 2013 to 2015
$171k
NIAID NIH HHS F32 AI102590NIAID NIH HHS F32AI102590NIAID NIH HHS R01 AI081534NIAID NIH HHS R01AI081534NIAID NIH HHS R01 AI093282NIAID NIH HHS R01AI093282NIAID NIH HHS R21 AI087107NIAID NIH HHS R21AI087107NIBIB NIH HHS U54 EB015408NIBIB NIH HHS U54EB15408
6 · The paper itself

Abstract

Timely detection of infectious agents is critical in early diagnosis and treatment of infectious diseases. Conventional pathogen detection methods, such as enzyme linked immunosorbent assay (ELISA), culturing or polymerase chain reaction (PCR) require long assay times, and complex and expensive instruments, which are not adaptable to point-of-care (POC) needs at resource-constrained as well as primary care settings. Therefore, there is an unmet need to develop simple, rapid, and accurate methods for detection of pathogens at the POC. Here, we present a portable, multiplex, inexpensive microfluidic-integrated surface plasmon resonance (SPR) platform that detects and quantifies bacteria, i.e., Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) rapidly. The platform presented reliable capture and detection of E. coli at concentrations ranging from ~10(5) to 3.2 × 10(7) CFUs/mL in phosphate buffered saline (PBS) and peritoneal dialysis (PD) fluid. The multiplexing and specificity capability of the platform was also tested with S. aureus samples. The presented platform technology could potentially be applicable to capture and detect other pathogens at the POC and primary care settings.

Indexed as

Lab-On-A-Chip DevicesAntibodies, BacterialBuffersColony Count, MicrobialDialysis SolutionsEquipment DesignEscherichia coliHumansPoint-of-Care SystemsStaphylococcus aureusSurface Plasmon ResonanceAntibodies, BacterialBuffersDialysis Solutions

Identifiers

PMID25801042
PMCPMC4371189

What OpenQuestion holds

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LicenceCC BY
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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.