Collaborative Research: CRISPR-SERS system for rapid and ultrasensitive detection of foodborne bacterial pathogens

合作研究：用于快速、超灵敏检测食源性细菌病原体的 CRISPR-SERS 系统

• 批准号: 2103025
• 负责人: Yi Zhang
• 金额: $ 31.85万
• 依托单位: University of Connecticut
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2103025&HistoricalAwards=false
• 关键词: Collaborative; Research; CRISPR; SERS; system

Bacterial pathogens and their toxins are the most common causes of foodborne illnesses. Detecting pathogenic bacterial contaminants in complex matrices (e.g., fresh produce) is an essential step to ensure food safety. One of the major challenges for detecting those contaminants lies in the lack of rapid and ultrasensitive detection methods. This multidisciplinary project aims to develop innovative biosensors that can rapidly and accurately screen a large number of samples for pathogenic contaminants. This project is integrated with outreach activities offered through the STEMette Summer Camp and Engineering High School Day to introduce K-12 students to the state-of-the-art biosensor technology. In addition, new course modules based on the results of this project are incorporated into existing undergraduate and graduate courses at both the University of Missouri and Rice University. This project includes three research objectives: (1) design a clustered, regularly interspaced, short palindromic repeats-associated system (CRISPR-Cas) to detect foodborne bacterial pathogens, (2) develop an ultrasensitive SERS system in a microfluidic device, and (3) integrate CRISPR with SERS in the microfluidic device for rapid, ultrasensitive, and selective detection of foodborne bacterial pathogens. This research discovers, contributes to, and supplements the fundamental understanding of essential principles for engineering CRISPR-based next-generation biosensors. By coupling CRISPR with SERS, this study also creates a new sensing mechanism that has the potential to achieve detection with single-copy sensitivity and single-base selectivity.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

细菌病原体及其毒素是食源性疾病的最常见原因。检测复杂基质中的致病细菌污染物（例如，新鲜农产品）是确保食品安全的重要步骤。检测这些污染物的主要挑战之一在于缺乏快速和超敏感的检测方法。这个多学科项目旨在开发创新的生物传感器，这些生物传感器可以快速，准确地筛选出大量的病原污染物样品。 该项目与Stemette夏令营和工程高中日提供的外展活动集成在一起，以将K-12学生介绍给最先进的生物传感器技术。此外，根据该项目的结果，将新的课程模块纳入了密苏里大学和赖斯大学的现有本科和研究生课程中。 This project includes three research objectives: (1) design a clustered, regularly interspaced, short palindromic repeats-associated system (CRISPR-Cas) to detect foodborne bacterial pathogens, (2) develop an ultrasensitive SERS system in a microfluidic device, and (3) integrate CRISPR with SERS in the microfluidic device for rapid, ultrasensitive, and selective detection of foodborne bacterial病原体。这项研究发现，有助于并为基于工程CRISPR的下一代生物传感器的基本原理的基本理解做出了贡献。通过将CRISP与SER耦合，这项研究还创建了一种新的感应机制，该机制有可能以单拷贝敏感性和单基碱基选择性来实现检测。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的审查标准来通过评估来获得支持的。

项目成果

A review on designing nanofibers with high porous and rough surface via electrospinning technology for rapid detection of food quality and safety attributes

• DOI: 10.1016/j.tifs.2022.08.003
• 发表时间: 2022-08
• 期刊: Trends in Food Science & Technology
• 作者: Mehdi Hajikhani;Mengshi Lin

Engineered LwaCas13a with enhanced collateral activity for nucleic acid detection

• DOI: 10.1038/s41589-022-01135-y
• 发表时间: 2022-09-22
• 期刊: NATURE CHEMICAL BIOLOGY
• 影响因子: 14.8
• 作者: Yang, Jie;Song, Yang;Gao, Xue
• 通讯作者: Gao, Xue

CRISPR‐Cas Biochemistry and CRISPR‐Based Molecular Diagnostics

CRISPR-Cas 生物化学和基于 CRISPR-的分子诊断

• DOI: 10.1002/anie.202214987
• 发表时间: 2023
• 期刊: Angewandte Chemie International edition in English
• 作者: Weng, Zhengyan;You, Zheng;Yang, Jie;Mohammad, Noor;Lin, Mengshi;Wei, Qingshan;Gao, Xue;Zhang, Yi
• 通讯作者: Zhang, Yi

Advances in CRISPR-based SERS detection of food contaminants: A review

• DOI: 10.1016/j.tifs.2023.07.001
• 发表时间: 2023-07
• 期刊: Trends in Food Science & Technology
• 作者: Mehdi Hajikhani;Yi Zhang;Xuefei Gao;Mengshi Lin

Amplification‐Free Detection of SARS‐CoV‐2 and Respiratory Syncytial Virus Using CRISPR Cas13a and Graphene Field‐Effect Transistors

使用 CRISPR Cas13a 和石墨烯场效应晶体管对 SARS-CoV-2 和呼吸道合胞病毒进行扩增-免费检测

• DOI: 10.1002/anie.202203826
• 发表时间: 2022
• 期刊: Angewandte Chemie International Edition
• 作者: Li, Huijie;Yang, Jie;Wu, Guangfu;Weng, Zhengyan;Song, Yang;Zhang, Yuxuan;Vanegas, Jeffrey A.;Avery, Lori;Gao, Zan;Sun, He
• 通讯作者: Sun, He