{"title":"Empowering Gliadin Detection: A Visible-Code Semiquantitative Lateral Flow System for Rapid and Reliable Results","authors":"Wen-Hao Chen, , , Jill Christiansen Smith, , , Seaton Smith, , , Hui-Yin Huang, , , Chester Yuh-Cherng Chu, , , Yuen-Yee Choi, , , Yuyu Chen, , , Huan-Chi Chang, , , Chuan-Chih Hsu*, , and , Yu-Cheng Hsiao*, ","doi":"10.1021/acs.jafc.5c07872","DOIUrl":null,"url":null,"abstract":"<p >Wheat is a global staple, but its main protein, “gluten,” can trigger severe reactions in people with celiac disease, an autoimmune disorder affecting around 1% of the population. The only treatment is a lifelong gluten-free diet. Gliadin, a gluten component, is the primary trigger and is difficult to detect due to its low solubility. This makes it challenging for celiac patients to safely eat out or to enjoy diverse foods. To address this, we developed LEO (Lateral flow Enhanced by Optical imaging), a portable gluten detection system combining lateral flow assays with smartphone-based image analysis. LEO uses IoT-enhanced technology to deliver results in under 3 min, accurately quantifying gliadin with over 98% accuracy and sensitivity below the FDA’s 20 ppm threshold. In real-world trials, LEO successfully detected hidden gluten in mislabeled “gluten-free” restaurant dishes. With its fast, accurate results and user-friendly design, LEO supports safer food choices for individuals with celiac disease and is suitable for personal, clinical, industrial, and regulatory use.</p>","PeriodicalId":41,"journal":{"name":"Journal of Agricultural and Food Chemistry","volume":"73 38","pages":"24369–24378"},"PeriodicalIF":6.2000,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/acs.jafc.5c07872","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Agricultural and Food Chemistry","FirstCategoryId":"97","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.jafc.5c07872","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Wheat is a global staple, but its main protein, “gluten,” can trigger severe reactions in people with celiac disease, an autoimmune disorder affecting around 1% of the population. The only treatment is a lifelong gluten-free diet. Gliadin, a gluten component, is the primary trigger and is difficult to detect due to its low solubility. This makes it challenging for celiac patients to safely eat out or to enjoy diverse foods. To address this, we developed LEO (Lateral flow Enhanced by Optical imaging), a portable gluten detection system combining lateral flow assays with smartphone-based image analysis. LEO uses IoT-enhanced technology to deliver results in under 3 min, accurately quantifying gliadin with over 98% accuracy and sensitivity below the FDA’s 20 ppm threshold. In real-world trials, LEO successfully detected hidden gluten in mislabeled “gluten-free” restaurant dishes. With its fast, accurate results and user-friendly design, LEO supports safer food choices for individuals with celiac disease and is suitable for personal, clinical, industrial, and regulatory use.
期刊介绍:
The Journal of Agricultural and Food Chemistry publishes high-quality, cutting edge original research representing complete studies and research advances dealing with the chemistry and biochemistry of agriculture and food. The Journal also encourages papers with chemistry and/or biochemistry as a major component combined with biological/sensory/nutritional/toxicological evaluation related to agriculture and/or food.