Personal Lab Offers Rapid Detection of Food Allergens
By LabMedica International staff writers Posted on 06 Nov 2017 |

Image: The iEAT system for onsite antigen detection consists of a pocket-sized detector, an electrode chip, and a disposable kit for allergen extraction. The detector connects with a smartphone for system control and data upload to a cloud server (Photo courtesy of Lin, et al. ACS Nano, August 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. 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
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. 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
Latest Technology News
- Coral-Inspired Capsule Samples Hidden Bacteria from Small Intestine
- Rapid Diagnostic Technology Utilizes Breath Samples to Detect Lower Respiratory Tract Infections
- Graphene-Based Sensor Uses Breath Sample to Identify Diabetes and Prediabetes in Minutes
- Wireless Sweat Patch Could Be Used as Diagnostic Test for Cystic Fibrosis
- New Method Advances AI Reliability with Applications in Medical Diagnostics
- Self-Powered Microneedle Patch Collects Biomarker Samples Without Drawing Blood
- Skin Patch Detects Biomarkers in Interstitial Fluid Without Blood Draws
- Handheld Saliva Test Accurately Detects Breast Cancer
- Cutting-Edge AI Algorithms Enable Early Detection of Prostate Cancer
- New Microfluidic System Enables Early Cancer Diagnosis Using Simple Blood Tests
Channels
Clinical Chemistry
view channel
Gold Nanoparticles to Improve Accuracy of Ovarian Cancer Diagnosis
Ovarian cancer is considered one of the deadliest cancers, in part because it rarely shows clear symptoms in its early stages, and diagnosis is often complex. Current approaches make it difficult to accurately... Read more
Simultaneous Cell Isolation Technology Improves Cancer Diagnostic Accuracy
Accurate cancer diagnosis remains a challenge, as liquid biopsy techniques often fail to capture the complexity of tumor biology. Traditional systems for isolating circulating tumor cells (CTCs) vary in... Read moreHematology
view channel
Pioneering Model Measures Radiation Exposure in Blood for Precise Cancer Treatments
Scientists have long focused on protecting organs near tumors during radiotherapy, but blood — a vital, circulating tissue — has largely been excluded from dose calculations. Each blood cell passing through... Read more
Platelets Could Improve Early and Minimally Invasive Detection of Cancer
Platelets are widely recognized for their role in blood clotting and scab formation, but they also play a crucial role in immune defense by detecting pathogens and recruiting immune cells.... Read more
Portable and Disposable Device Obtains Platelet-Rich Plasma Without Complex Equipment
Platelet-rich plasma (PRP) plays a crucial role in regenerative medicine due to its ability to accelerate healing and repair tissue. However, obtaining PRP traditionally requires expensive centrifugation... Read moreImmunology
view channel
Novel Tool Uses Deep Learning for Precision Cancer Therapy
Nearly 50 new cancer therapies are approved each year, but selecting the right one for patients with highly individual tumor characteristics remains a major challenge. Physicians struggle to navigate the... Read more
Companion Diagnostic Test Identifies HER2-Ultralow Breast Cancer and Biliary Tract Cancer Patients
Breast cancer is the most common cancer in Europe, with more than 564,000 new cases and 145,000 deaths annually. Metastatic breast cancer is rising in younger populations and remains the leading cause... Read moreMicrobiology
view channel
Microfluidic Platform Assesses Neutrophil Function in Sepsis Patients
Sepsis arises from infection and immune dysregulation, with neutrophils playing a central role in its progression. However, current clinical tools are unable to both isolate these cells and assess their... Read more
New Diagnostic Method Confirms Sepsis Infections Earlier
Sepsis remains one of the most dangerous medical emergencies, often progressing rapidly and becoming fatal without timely intervention. Each hour of delayed treatment in septic shock reduces patient survival... Read more
New Markers Could Predict Risk of Severe Chlamydia Infection
Chlamydia trachomatis is a common sexually transmitted infection that can cause pelvic inflammatory disease, infertility, and other reproductive complications when it spreads to the upper genital tract.... Read more
Portable Spectroscopy Rapidly and Noninvasively Detects Bacterial Species in Vaginal Fluid
Vaginal health depends on maintaining a balanced microbiome, particularly certain Lactobacillus species. Disruption of this balance, known as dysbiosis, can increase risks of infection, pregnancy complications,... Read morePathology
view channel
Accurate Pathological Analysis Improves Treatment Outcomes for Adult Fibrosarcoma
Adult fibrosarcoma is a rare and highly aggressive malignancy that develops in connective tissue and often affects the limbs, trunk, or head and neck region. Diagnosis is complex because tumors can mimic... Read more
Clinicopathologic Study Supports Exclusion of Cervical Serous Carcinoma from WHO Classification
High-grade serous carcinoma is a rare diagnosis in cervical biopsies and can be difficult to distinguish from other tumor types. Cervical serous carcinoma is no longer recognized as a primary cervical... Read moreTechnology
view channel
Coral-Inspired Capsule Samples Hidden Bacteria from Small Intestine
The gut microbiome has been linked to conditions ranging from immune disorders to mental health, yet conventional stool tests often fail to capture bacterial populations in the small intestine.... Read more
Rapid Diagnostic Technology Utilizes Breath Samples to Detect Lower Respiratory Tract Infections
Respiratory tract infections (LRTIs) are leading causes of illness and death worldwide, particularly among vulnerable populations such as the elderly, young children, and those with compromised immune systems.... Read moreIndustry
view channel
VedaBio Partners With Mammoth Biosciences to Expand CRISPR-Based Diagnostic Technologies
VedaBio (San Diego, CA, USA) has entered into a non-exclusive license agreement with Mammoth Biosciences (Brisbane, CA, USA) for the use of select CRISPR-based technologies in diagnostic applications.... Read more