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Integrated Magneto-Chemical Sensor For On-Site Food Allergen Detection

Overview of attention for article published in ACS Nano, August 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
22 news outlets
blogs
8 blogs
twitter
35 X users
patent
1 patent
facebook
2 Facebook pages

Readers on

mendeley
169 Mendeley
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Article details
Title
Integrated Magneto-Chemical Sensor For On-Site Food Allergen Detection
Published in
ACS Nano, August 2017
DOI 10.1021/acsnano.7b04318
Pubmed ID
Authors
Abstract

Adverse food reactions, including food allergies, food sensitivities, and autoimmune reaction (e.g., celiac disease) affect 5-15% of the population and remain a considerable public health problem requiring stringent food avoidance and epinephrine availability for emergency events. Avoiding problematic foods is practically difficult, given current reliance on prepared foods and out-of-home meals. In response, we developed a portable, point-of-use detection technology, termed integrated Exogenous Antigen Testing (iEAT). The system consists of a disposable antigen extraction device coupled with an electronic keychain reader for rapid sensing and communication. We optimized the prototype iEAT system to detect five major food antigens in peanuts, hazelnuts, wheat, milk, and eggs. Antigen extraction and detection with iEAT requires less than 10 min and achieves high detection sensitivities (e.g., 0.1 mg/kg for gluten - lower than regulatory limits of 20 mg/kg). When testing under restaurant conditions, we were able to detect hidden food antigens such as gluten within "gluten-free" food items. The small size and rapid, simple testing of the iEAT system should help not only consumers but also other key stakeholders such as clinicians, food industries and regulators to enhance food safety.

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 169 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 %
Unknown 169 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 29 17%
Student > Ph. D. Student 28 17%
Student > Bachelor 16 9%
Student > Master 14 8%
Student > Doctoral Student 7 4%
Other 18 11%
Unknown 57 34%
Readers by discipline
Readers by discipline Count As %
Chemistry 28 17%
Engineering 17 10%
Agricultural and Biological Sciences 13 8%
Biochemistry, Genetics and Molecular Biology 12 7%
Medicine and Dentistry 7 4%
Other 23 14%
Unknown 69 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 223. 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 29 December 2022.
All research outputs
#218,679
of 34,815,051 outputs
Outputs from ACS Nano
#99
of 19,056 outputs
Outputs of similar age
#3,636
of 356,610 outputs
Outputs of similar age from ACS Nano
#4
of 281 outputs
Altmetric has tracked 34,815,051 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 19,056 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. 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 356,610 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 98% of its contemporaries.
We're also able to compare this research output to 281 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 98% of its contemporaries.