| Title |
Consumer-friendly food allergen detection: moving towards smartphone-based immunoassays
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, March 2018
|
| DOI | 10.1007/s00216-018-0989-7 |
| Pubmed ID | |
| Authors |
Georgina M. S. Ross, Monique G. E. G. Bremer, Michel W. F. Nielen |
| Abstract |
In this critical review, we provide a comprehensive overview of immunochemical food allergen assays and detectors in the context of their user-friendliness, through their connection to smartphones. Smartphone-based analysis is centered around citizen science, putting analysis into the hands of the consumer. Food allergies represent a significant worldwide health concern and consumers should be able to analyze their foods, whenever and wherever they are, for allergen presence. Owing to the need for a scientific background, traditional laboratory-based detection methods are generally unsuitable for the consumer. Therefore, it is important to develop simple, safe, and rapid assays that can be linked with smartphones as detectors to improve user accessibility. Smartphones make excellent detection systems because of their cameras, embedded flash functions, portability, connectivity, and affordability. Therefore, this review has summarized traditional laboratory-based methods for food allergen detection such as enzyme-linked-immunosorbent assay, flow cytometry, and surface plasmon resonance, and the potential to modernize these methods by interfacing them with a smartphone readout system, based on the aforementioned smartphone characteristics. This is the first review focusing on smartphone-based food-allergen detection methods designed with the intention of being consumer-friendly. Graphical abstract A smartphone-based food allergen detection system in three easy steps (1) sample preparation, (2) allergen detection on a smartphone using antibodies, which then transmits the data wirelessly, (3) analytical results sent straight to smartphone. |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 3 | 23% |
| Germany | 3 | 23% |
| Switzerland | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 5 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 5 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 187 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 20% |
| Student > Bachelor | 23 | 12% |
| Researcher | 16 | 9% |
| Student > Master | 14 | 7% |
| Other | 8 | 4% |
| Other | 28 | 15% |
| Unknown | 61 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 14% |
| Chemistry | 22 | 12% |
| Biochemistry, Genetics and Molecular Biology | 16 | 9% |
| Engineering | 8 | 4% |
| Medicine and Dentistry | 6 | 3% |
| Other | 33 | 18% |
| Unknown | 75 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 30 January 2019.
All research outputs
#3,600,399
of 25,628,260 outputs
Outputs from Analytical & Bioanalytical Chemistry
#396
of 9,694 outputs
Outputs of similar age
#69,836
of 346,095 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#16
of 203 outputs
Altmetric has tracked 25,628,260 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,694 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 95% 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 346,095 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 203 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 92% of its contemporaries.