Application of MOF Nanoenzyme in Rapid Detection of Food Allergens System

Author:

Wang Wei1,Song Xin2,Pang Chong3,Ouyang Shengrong1

Affiliation:

1. Deparment of Biochemistry and Lmmunology, Capital Institute of Pediatrics, Beijing, 100020, China

2. Department of Allergy, Children’s Hospital Affiliated to Capital Institute of Pediatrics, Beijing, 100020, China

3. Department of otorhinolaryngology, Head and Neck Surgery, Capital Pediatric Institute Affiliated Hospital, Beijing, 100020, China

Abstract

Food allergies are a common immune response that can lead to serious health problems. Rapid and accurate detection of allergens in food is crucial for protecting people’s health and quality of life. In this study, β-lactoglobulin in milk serves as a model allergen, and nucleic acid aptamer-loaded MN patches are utilized as rapid capture elements. Moreover, metal organic frameworks loaded with complementary aptamer sequences are employed as signal amplification elements. The combination of these two elements establishes a rapid visualization detection system for allergens, employing specific microneedle array patches-MOF nanoenzymes. The results show that the combination of TMB+H2O2 +MOF-RC has the highest peroxidase like activity of 1.732. Compared to TMB+H2O2 +MOF, it has increased by 0.547. Meanwhile, the MN-MOF detection method has excellent specificity for the detection of β-Lg. This specific microneedle array patches and MOF nanoenzymes-based allergen rapid detection system demonstrates practical application benefits, providing a viable solution for swiftly detecting food allergens and safeguarding people’s health and quality of life.

Publisher

American Scientific Publishers

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3