Evidence map›Paper›PMID 25743880›Full record

ArticleScientific reports2015

Paper and flexible substrates as materials for biosensing platforms to detect multiple biotargets.

Hadi Shafiee, Waseem Asghar, Fatih Inci, Mehmet Yuksekkaya, Muntasir Jahangir, Michael H Zhang, Naside Gozde Durmus, Umut Atakan Gurkan, Daniel R Kuritzkes, Utkan Demirci

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.

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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

10 authors.

Hadi ShafieeDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Division of Biomedical Engineering, Division of Renal Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Waseem AsgharDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Stanford University School of Medicine, Canary Center at Stanford for Cancer Early Detection, Palo Alto, California, 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, California, USA.
Mehmet YuksekkayaDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Division of Biomedical Engineering, Division of Renal Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Muntasir JahangirDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Division of Biomedical Engineering, Division of Renal Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Michael H ZhangDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Division of Biomedical Engineering, Division of Renal Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Naside Gozde Durmus1] Department of Biochemistry, Stanford School of Medicine, Stanford, California, USA [2] Stanford Genome Technology Center, Stanford University, Palo Alto, California, USA.
Umut Atakan GurkanDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Division of Biomedical Engineering, Division of Renal Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Daniel R KuritzkesDivision of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, MA, USA.
Utkan Demirci1] Demirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Division of Biomedical Engineering, Division of Renal Medicine, 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, California, USA [3] Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, MA, USA.

Funding

Rapid Fluorescence-Based Determination of Antibiotic SusceptibilityU54EB015408 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI PARRISH, JOHN A, SCHACHTER, STEVEN · 2012 to 2022
$49.2M
Photonic Crystal Surfaces for Label-Free Detection and Fluorescence AmplificationR01GM086382 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BOLLERO, GERMAN A, CUNNINGHAM, BRIAN T. · 2009 to 2012
$1.7M
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 AI093282NIAID NIH HHS R01AI093282NIAID NIH HHS R21 AI087107NIAID NIH HHS R21AI087107NIBIB NIH HHS U54 EB015408NIBIB NIH HHS U54EB15408NIGMS NIH HHS R01 GM086382NIGMS NIH HHS R01GM086382
6 · The paper itself

Abstract

The need for sensitive, robust, portable, and inexpensive biosensing platforms is of significant interest in clinical applications for disease diagnosis and treatment monitoring at the point-of-care (POC) settings. Rapid, accurate POC diagnostic assays play a crucial role in developing countries, where there are limited laboratory infrastructure, trained personnel, and financial support. However, current diagnostic assays commonly require long assay time, sophisticated infrastructure and expensive reagents that are not compatible with resource-constrained settings. Although paper and flexible material-based platform technologies provide alternative approaches to develop POC diagnostic assays for broad applications in medicine, they have technical challenges integrating to different detection modalities. Here, we address the limited capability of current paper and flexible material-based platforms by integrating cellulose paper and flexible polyester films as diagnostic biosensing materials with various detection modalities through the development and validation of new widely applicable electrical and optical sensing mechanisms using antibodies and peptides. By incorporating these different detection modalities, we present selective and accurate capture and detection of multiple biotargets including viruses (Human Immunodeficiency Virus-1), bacteria (Escherichia coli and Staphylococcus aureus), and cells (CD4(+) T lymphocytes) from fingerprick volume equivalent of multiple biological specimens such as whole blood, plasma, and peritoneal dialysis effluent with clinically relevant detection and sensitivity.

Indexed as

Biosensing TechniquesBacterial InfectionsCD4 Lymphocyte CountCD4-Positive T-LymphocytesHIV-1HIV InfectionsHumansPoint-of-Care SystemsSensitivity and Specificity

Identifiers

PMID25743880
PMCPMC4351531

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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.