Evidence map›Paper›PMID 39832405›Full record

ArticleBiosensors & bioelectronics2025

Scalable electrochemical system for rapid on-site detection of food allergens.

Young Kwan Cho, Yoonjeong Choi, Soohyun Kim, Hyunho Kim, Kwok-Fan Chow, Ik-Soo Shin, Jay Hoon Park, Hakho Lee

Abstract read
In one paragraph

Article in Biosensors & bioelectronics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

8 authors.

Young Kwan ChoCenter for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA; Department of Chemistry, University of Massachusetts Lowell, Lowell, MA, 01854, USA.
Yoonjeong ChoiCenter for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Soohyun KimCenter for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Hyunho KimCenter for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA; School of Mechanical Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, South Korea.
Kwok-Fan ChowDepartment of Chemistry, University of Massachusetts Lowell, Lowell, MA, 01854, USA.
Ik-Soo ShinDepartment of Chemistry, Soongsil University, 369 Sangdo-Ro, Dongjak-Gu, Seoul, 06978, South Korea. Electronic address: extant@ssu.ac.kr.
Jay Hoon ParkDepartment of Plastics Engineering, University of Massachusetts Lowell, Lowell, MA, 01854, USA. Electronic address: Jay_Park@uml.edu.
Hakho LeeCenter for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02115, USA. Electronic address: hlee@mgh.harvard.edu.

Funding

Expanding early cancer detection with high throughput OCEANA - Ovarian Cancer Exosome Analysis with Nanoplasmonic ArrayU01CA284982 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Cesar M Castro, Hakho Lee · 2023 to 2026
$3.7M
Clinical platform for high-throughput analyses of extracellular vesiclesR01CA229777 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, HAKHO, SKOG, JOHAN · 2018 to 2022
$3.2M
Imaging and Liquid Biopsy for Glioma Diagnosis and Treatment MonitoringR01CA239078 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BALAJ, LEONORA, LEE, HAKHO · 2020 to 2024
$3.1M
High-throughput Phenotyping of iPSC-derived Airway Epithelium by Multiscale Machine Learning MicroscopyR01HL163513 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI Hakho Lee, Kwonmoo Lee · 2023 to 2026
$3.1M
Standardized Molecular Analyses of Glioma EVsR01CA237500 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CARTER, BOB S, LEE, HAKHO · 2020 to 2024
$3.0M
High throughput nanoplasmonic exosome testing (NEXT) of immunotherapies in bladder cancerR01CA264363 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CASTRO, CESAR M, LEE, HAKHO · 2021 to 2024
$2.4M
Composing CODAs to cervical cancer screening through an integrated CRISPR and fluorescent nucleic acid approachU01CA279858 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Cesar M Castro, Hakho Lee · 2023 to 2026
$2.1M
3D Fourier Imaging System for High Throughput Analyses of Cancer OrganoidsR21CA267222 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, HAKHO · 2022 to 2024
$613k
Streamlining sample preparation with high throughput SpinEx (Separation processing integration for Extracellular vesicles)R61CA297878 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Hakho Lee · 2025 to 2026
$463k
High-throughput Integrated Magneto-electrochemical Exosome (HiMEX) platform to identify neurodevelopmental markers associated with pre and postnatal oxycodone exposureR21DA049577 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, HAKHO, PENDYALA, GURUDUTT · 2019 to 2020
$458k
NCI NIH HHS R01 CA229777NCI NIH HHS R01 CA237500NCI NIH HHS R01 CA239078NCI NIH HHS R01 CA264363NCI NIH HHS R21 CA267222NCI NIH HHS R61 CA297878NCI NIH HHS U01 CA279858NCI NIH HHS U01 CA284982NHLBI NIH HHS R01 HL163513NIDA NIH HHS R21 DA049577
6 · The paper itself

Abstract

Food allergies affect millions of individuals worldwide, significantly impacting personal health and the economy. While avoiding allergenic foods remains the primary management strategy, consumers lack reliable means for immediate allergen detection in everyday dining settings. Here, we present iEAT2 (integrated Exogenous Allergen Test 2), an advanced electrochemical sensing system for rapid, on-site food allergen detection. Building upon our previous assay system, the iEAT2 features technical breakthroughs: i) a complete kit for sample processing, including a torsion device for food grinding, and ii) a new strategy for multi-electrode measurements, which enables the simultaneous detection of multiple allergens in a simplified electronic architecture. We designed a compact iEAT2 prototype capable of 16 electrochemical reactions. Experimental validation confirmed the independent electrochemical measurements in a simultaneous operation. Furthermore, the entire testing protocol was completed within 15 min, from allergen extraction to detection. The platform detected three common food allergens (gliadin, Ara h1, and ovalbumin) at concentrations below established allergic reaction thresholds. It also effectively identified cross-contamination events in real-world food samples. This technology may empower consumers to monitor food safety and improve its management.

Indexed as

AllergensBiosensing TechniquesElectrochemical TechniquesFood AnalysisFood HypersensitivityOvalbuminAntigens, PlantEquipment DesignHumansAllergensAntigens, PlantOvalbuminBiosensorElectrochemical sensorFood allergyMultiplexing

Identifiers

PMID39832405
PMCPMC11788024

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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.