Chen Wen-Hao, Hsu Chuan-Chih, Ho Hsin-Jung, Smith Jill, Smith Seaton, Huang Hui-Yin, Chang Huan-Chi, Hsiao Yu-Cheng
Research and Development Group, Leo Verification Systems Inc., Powell, Wyoming 82435, United States.
School of Biological Sciences, Nanyang Technological University, 639798 Singapore.
ACS Omega. 2024 Dec 3;9(50):49767-49777. doi: 10.1021/acsomega.4c08411. eCollection 2024 Dec 17.
In recent years, food allergies and food sensitivities have remained critical public health problems that affect approximately 15% of the global population. Wheat is a major food source worldwide, but it is also a common food allergen. Celiac disease is chronic immune-mediated enteropathy triggered by exposure to dietary gluten in genetically predisposed individuals; it can be treated only through strict gluten avoidance. Therefore, rapid gluten detection is crucial for protecting the health of patients. Gluten contains two primary water-insoluble proteins: gliadin and glutenin. Gliadin is a key contributor to celiac disease and poses challenges for sample pretreatment owing to its insolubility, thereby reducing the accuracy and sensitivity of detection systems. Rapid sample processing is a critical problem in gliadin detection. In this report, we developed a gliadin sensor system called the integrated food allergy and microorganism sensor (iFAMs). The iFAMs comprises a gliadin lateral flow chip, a one-pot extraction solution, and an image assay app. The iFAMs enables gliadin extraction and detection in under 2 min with high sensitivity (0.04 mg/kg for gliadin, lower than the regulatory limit of 20 mg/kg). Users can easily measure gluten concentrations in samples and quantify gliadin levels using the smartphone-based image assay app. In samples collected from restaurants, the iFAMs successfully detected hidden gluten within "gluten-free" food items. The compact size and user-friendly design of the iFAMs render it suitable for not only consumers but also clinicians, food industries, and regulators to enhance food safety.
近年来,食物过敏和食物不耐受一直是严重的公共卫生问题,影响着全球约15%的人口。小麦是全球主要的食物来源,但也是常见的食物过敏原。乳糜泻是一种由遗传易感性个体接触膳食麸质引发的慢性免疫介导性肠病;只能通过严格避免麸质来治疗。因此,快速检测麸质对于保护患者健康至关重要。麸质包含两种主要的水不溶性蛋白质:醇溶蛋白和谷蛋白。醇溶蛋白是乳糜泻的关键致病因素,由于其不溶性,给样品预处理带来挑战,从而降低了检测系统的准确性和灵敏度。快速样品处理是醇溶蛋白检测中的一个关键问题。在本报告中,我们开发了一种名为集成食物过敏和微生物传感器(iFAMs)的醇溶蛋白传感器系统。iFAMs包括一个醇溶蛋白侧向流动芯片、一种一锅法提取溶液和一个图像分析应用程序。iFAMs能够在不到2分钟的时间内进行醇溶蛋白的提取和检测,灵敏度高(醇溶蛋白为0.04毫克/千克,低于20毫克/千克的监管限值)。用户可以使用基于智能手机的图像分析应用程序轻松测量样品中的麸质浓度并量化醇溶蛋白水平。在从餐厅收集的样品中,iFAMs成功检测出“无麸质”食品中的隐藏麸质。iFAMs的紧凑尺寸和用户友好设计使其不仅适用于消费者,也适用于临床医生、食品行业和监管机构,以提高食品安全。