Evidence map›Paper›PMID 28752875›Full record

ArticleLab on a chip2017

Multimode smartphone biosensing: the transmission, reflection, and intensity spectral (TRI)-analyzer.

Kenneth D Long, Elizabeth V Woodburn, Huy M Le, Utsav K Shah, Steven S Lumetta, Brian T Cunningham

Abstract read
In one paragraph

Article in Lab on a chip, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 69 citations in OpenAlex.

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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

6 authors at 1 institution in 2 countries.

Kenneth D LongDepartment of Bioengineering, Micro and Nano Technology Laboratory, University of Illinois at Urbana-Champaign, 208 N. Wright Street, Urbana, IL 61801, USA. bcunning@illinois.edu.
Elizabeth V Woodburn
Huy M Le
Utsav K Shah
Steven S Lumetta
Brian T Cunningham
University of Illinois Urbana-Champaign · US

Funding

Photonic Crystal Based Point-of-Care Detection of HIV Viral Load Using a Smartphone BiosensorF30AI122925 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI LONG, KENNETH · 2016 to 2019
$159k
NIAID NIH HHS F30 AI122925
6 · The paper itself

Abstract

We demonstrate a smartphone-integrated handheld detection instrument capable of utilizing the internal rear-facing camera as a high-resolution spectrometer for measuring the colorimetric absorption spectrum, fluorescence emission spectrum, and resonant reflection spectrum from a microfluidic cartridge inserted into the measurement light path. Under user selection, the instrument gathers light from either the white "flash" LED of the smartphone or an integrated green laser diode to direct illumination into a liquid test sample or onto a photonic crystal biosensor. Light emerging from each type of assay is gathered via optical fiber and passed through a diffraction grating placed directly over the smartphone camera to generate spectra from the assay when an image is collected. Each sensing modality is associated with a unique configuration of a microfluidic "stick" containing a linear array of liquid chambers that are swiped through the instrument while the smartphone captures video and the software automatically selects spectra representative of each compartment. The system is demonstrated for representative assays in the field of point-of-care (POC) maternal and infant health: an ELISA assay for the fetal fibronectin protein used as an indicator for pre-term birth and a fluorescent assay for phenylalanine as an indicator for phenylketonuria. In each case, the TRI-analyzer is capable of achieving limits of detection that are comparable to those obtained for the same assay measured with a conventional laboratory microplate reader, demonstrating the flexibility of the system to serve as a platform for rapid, simple translation of existing commercially available biosensing assays to a POC setting.

Indexed as

SmartphoneBiosensing TechniquesColorimetryEnzyme-Linked Immunosorbent AssayEquipment DesignFibronectinsHumansLimit of DetectionPhenylketonuriasPoint-of-Care SystemsSpectrum AnalysisFFN protein, humanFibronectins

Identifiers

PMID28752875
PMCPMC5614857
OpenAlexW2738051958

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.