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A multichannel smartphone optical biosensor for high-throughput point-of-care diagnostics

Overview of attention for article published in Biosensors & Bioelectronics, September 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 9,686)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
36 news outlets
blogs
5 blogs
twitter
11 X users
patent
1 patent
googleplus
1 Google+ user
reddit
2 Redditors

Readers on

mendeley
264 Mendeley
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Article details
Title
A multichannel smartphone optical biosensor for high-throughput point-of-care diagnostics
Published in
Biosensors & Bioelectronics, September 2016
DOI 10.1016/j.bios.2016.09.021
Pubmed ID
Authors
Abstract

Current reported smartphone spectrometers are only used to monitor or measure one sample at a time. For the first time, we demonstrate a multichannel smartphone spectrometer (MSS) as an optical biosensor that can simultaneously optical sense multiple samples. In this work, we developed a novel method to achieve the multichannel optical spectral sensing with nanometer resolution on a smartphone. A 3D printed cradle held the smartphone integrated with optical components. This optical sensor performed accurate and reliable spectral measurements by optical intensity changes at specific wavelength or optical spectral shifts. A custom smartphone multi-view App was developed to control the optical sensing parameters and to align each sample to the corresponding channel. The captured images were converted to the transmission spectra in the visible wavelength range from 400nm to 700nm with the high resolution of 0.2521nm per pixel. We validated the performance of this MSS via measuring the concentrations of protein and immunoassaying a type of human cancer biomarker. Compared to the standard laboratory instrument, the results sufficiently showed that this MSS can achieve the comparative analysis detection limits, accuracy and sensitivity. We envision that this multichannel smartphone optical biosensor will be useful in high-throughput point-of-care diagnostics with its minimizing size, light weight, low cost and data transmission function.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 264 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Poland 1 <1%
India 1 <1%
Indonesia 1 <1%
Unknown 260 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 56 21%
Researcher 43 16%
Student > Master 27 10%
Student > Bachelor 16 6%
Professor > Associate Professor 16 6%
Other 43 16%
Unknown 63 24%
Readers by discipline
Readers by discipline Count As %
Engineering 54 20%
Agricultural and Biological Sciences 23 9%
Chemistry 18 7%
Biochemistry, Genetics and Molecular Biology 15 6%
Medicine and Dentistry 15 6%
Other 64 24%
Unknown 75 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 307. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 April 2019.
All research outputs
#141,693
of 34,545,128 outputs
Outputs from Biosensors & Bioelectronics
#11
of 9,686 outputs
Outputs of similar age
#2,361
of 337,669 outputs
Outputs of similar age from Biosensors & Bioelectronics
#1
of 189 outputs
Altmetric has tracked 34,545,128 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,686 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 337,669 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 189 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.