We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
Vicotex

Download Mobile App




Personal Lab Offers Rapid Detection of Food Allergens

By LabMedica International staff writers
Posted on 06 Nov 2017
Researchers have developed a small, low cost device for individual use that can accurately detect food allergens in less than ten minutes.

Adverse food reactions, including food allergies, food sensitivities, and autoimmune reaction (e.g., celiac disease) affect 5-15% of the population of the USA and remain a considerable public health problem requiring stringent food avoidance and epinephrine availability for emergency events. More...
Avoiding problematic foods is difficult in practical terms, given current reliance on prepared foods and out-of-home meals.

In response to the food allergy problem, investigators at Harvard Medical School (Boston, MA, USA) developed a portable, point-of-use detection technology, that they called "integrated exogenous antigen testing" (iEAT).

The iEAT device consists of three components: (1) a small plastic test tube, (2) a small electronic detection module, and (3) the electronic keychain reader. To perform the test, the user dissolves a small sample of the food in the plastic test tube and then adds magnetic beads that capture the food allergen of interest. A bit of this mixture is loaded onto electrode strips attached to a small module that is then inserted into the electronic keychain reader. The keychain reader has a small display that indicates whether the allergen is present, and if so, in what concentration.

The prototype iEAT system was optimized to detect five major food antigens in peanuts, hazelnuts, wheat, milk, and eggs. Antigen extraction and detection with iEAT required less than 10 minutes and achieved high-detection sensitivities (e.g., 0.1 milligram per kilogram for gluten, 200 times lower than regulatory limits of 20 milligram per kilogram).

The investigators also developed a dedicated cell phone application, which allows the user to compile and store the data collected by testing different foods for various allergens at different restaurants or in packaged foods. The application is set up to share this information online with both time and location stamps indicating when, where, and in what food or dish an allergen reading was taken.

“High accuracy built into a compact system was the key goals of the project,” said contributing author Dr. Ralph Weissleder, professor of radiology and systems biology at Harvard Medical School. “Users can be confident that even if they are sensitive to very low levels, iEAT will be able to give them exact concentrations. Armed with accurate concentration levels they will not have to completely avoid potentially problematic foods, but will know whether an allergen is at a dangerous level for them or a concentration that is safe for them to eat.”

The iEAT device was described in the August 2017 issue of the journal ACS Nano.

Related Links:
Harvard Medical School


Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
Gold Member
Blood-Based Protein Biomarker Solution for Alzheimer's Disease
BG-DTi2000.
New
Portable POCT Blood Gas Analyzer
BD100
POC Immunoassay Analyzer
Procise DX
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: Tracking blood test trends alongside unexplained weight loss may help identify patients at increased cancer risk and support earlier investigation (Image Credit: 123RF)

Blood Test Patterns Improve Cancer Risk Assessment in Primary Care

Unexplained weight loss is a common but nonspecific presentation in primary care that can precede several types of cancer, making referral decisions difficult. Routine blood tests may produce borderline... Read more

Immunology

view channel
Image: Although many people harbor latent Epstein-Barr virus (EBV), growing evidence has linked the virus to MS pathobiology (Image Credit: Adobe Stock)

Blood EBV Activity Biomarkers May Predict Multiple Sclerosis Relapse Months Ahead

Predicting relapse in multiple sclerosis (MS) remains difficult, limiting opportunities for timely intervention and monitoring. Although many people harbor latent Epstein-Barr virus (EBV), growing evidence... Read more

Microbiology

view channel
Image: Graphical Abstract (Jose A. Céspedes, Maria I. Montañez, Isabel M. Jiménez, et al. Magnetic nanoparticles enable clinically relevant in vitro diagnosis of beta-lactam allergy. Materials Today Bio (2026). DOI: 10.1016/j.mtbio.2026.103356)

Magnetic Nanoparticles Enable More Sensitive Beta-Lactam Allergy Testing

Penicillin allergy labels are common in clinical practice, yet many are incorrect and can lead to suboptimal antibiotic choices. Although 8%–25% of people report a penicillin allergy, only 1%–10% are truly... Read more

Pathology

view channel
Image: A new study demonstrates that vascular features in colorectal tumors could serve as prognostic biomarkers of disease outcome. (Image Credit: iStock)

Tumor Blood Vessel Features May Help Predict Colorectal Cancer Survival

Colorectal cancer outcomes vary widely, and tumor biology remains a key determinant of prognosis. Because neoplasms depend on a vascular supply, differences in intratumoral vessels may influence survival.... Read more

Technology

view channel
Image: ADLM recommends that emerging AI tools follow the same professional oversight, quality, validation, and monitoring standards as traditional clinical testing within CLIA’s existing framework (Image Credit: Adobe Stock)

ADLM Calls for CLIA Updates to Support Safe AI Use in Laboratory Medicine

Clinical laboratories increasingly use artificial intelligence to verify, interpret, and report results, but safeguards under the Clinical Laboratory Improvement Amendments (CLIA) were designed in 1992.... Read more

Industry

view channel
Image Credit: Adobe Stock

Mayo Clinic and Thermo Fisher Launch Multi-Omics Venture to Identify Early Disease Signals

Many diseases begin developing years before symptoms emerge, making early detection difficult for healthcare systems and clinical laboratories. Linking molecular changes with longitudinal health data could... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.