Evidence map›Paper›PMID 34675249›Full record

ArticleScientific reports2021

Rapid and accurate electrochemical sensor for food allergen detection in complex foods.

Madanodaya Sundhoro, Srikanth R Agnihotra, Nazir D Khan, Abigail Barnes, Joseph BelBruno, Lukasz Mendecki

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

6 authors.

Madanodaya SundhoroAllergy Amulet, 600 Suffolk Street, Suite 268, Lowell, MA, 01854A, USA.
Srikanth R AgnihotraAllergy Amulet, 600 Suffolk Street, Suite 268, Lowell, MA, 01854A, USA.
Nazir D KhanAllergy Amulet, 600 Suffolk Street, Suite 268, Lowell, MA, 01854A, USA.
Abigail BarnesAllergy Amulet, 600 Suffolk Street, Suite 268, Lowell, MA, 01854A, USA.
Joseph BelBrunoAllergy Amulet, 600 Suffolk Street, Suite 268, Lowell, MA, 01854A, USA.
Lukasz MendeckiAllergy Amulet, 600 Suffolk Street, Suite 268, Lowell, MA, 01854A, USA. lmendecki@allergyamulet.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food allergies are estimated to affect about 2-5% of adults and 6-8% of children, globally. Currently, the most effective strategy for food allergy management is stringent avoidance of the offending allergen. Unlike other major food allergens, soy is uniquely challenging to avoid due to its prevalence and insidiousness in a wide variety of foods, such as infant formulas. Recently, we demonstrated a simple, accurate, and consumer-friendly sensor using molecularly imprinted polymers (MIPs) for rapid detection of soy allergenic tracers in complex food matrices at clinically relevant levels. In this work, we build on these findings by subjecting MIP-based soy allergen sensors to test trials in 42 different food products, representing over 300 ingredients. Foods were selected based on their compositional complexity to capture a wide range of preparatory methods and processing conditions. In each case, the Allergy Amulet correctly reported on the presence or absence of soy allergen tracer in investigated samples and were subjected to immunoassay confirmatory analysis. The outcome of this research will help resolve persistent difficulties with commercial technologies in detecting allergenic tracers with minimal cross-interference in foods, and will give those with soy allergies the ability to easily, rapidly, and accurately identify and avoid foods with soy allergens.

Indexed as

Food HypersensitivityAllergensElectrochemical TechniquesFood AnalysisGlycine maxHumansImmunoassayMolecularly Imprinted PolymersAllergensMolecularly Imprinted Polymers

Identifiers

PMID34675249
PMCPMC8531013

What OpenQuestion holds

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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.