CRISPR/Cas12a-powered immunosensor suitable for ultra-sensitive whole Cryptosporidium oocyst detection from water samples using a plate reader

隐孢子虫 微小隐孢子虫 清脆的 生物传感器 生物 计算生物学 微生物学 遗传学 生物化学 粪便 基因
作者
Yi Li,Fei Deng,Tim Hall,Graham Vesey,Ewa M. Goldys
出处
期刊:Water Research [Elsevier]
卷期号:203: 117553-117553 被引量:32
标识
DOI:10.1016/j.watres.2021.117553
摘要

Waterborne pathogens, such as Cryptosporidium parvum, pose a major threat to public health globally, and this requires screening of drinking and environmental water for low number of contaminating microbes. However, current detection approaches generally require trained experts with sophisticated instruments, and are not suitable for large-scale screening and rapid outbreak response. Recent advances in ultrasensitive CRISPR/Cas-based biosensing continue to expand the range of detectable molecular targets, however single microbes could not be directly detected so far, especially in environmental samples. Here, we report an ultrasensitive CRISPR/Cas12a-powered immunosensing method suitable for microbial detection which links antibody-based recognition with CRISPR/Cas12a-based fluorescent signal amplification through an antibody-DNA conjugate. This approach is shown here to detect whole 4 µm size Cryptosporidium parvum oocysts with a linear range from 6.25 – 1600 oocysts/mL, at a maximum sensitivity of single oocyst per sample. Its potential to apply to various complex sample matrices has also been demonstrated. After sample dilution by factor of 10, we were able to detect 10 oocysts from a back-wash mud samples from water treatment plate. This method uses the same experimental setup (plate reader) as a conventional ELISA assay thus reducing the need for microscopy-based identification of Cryptosporidium, which represents the gold-standard but requires high level expertise and time-consuming manual counting. This work highlights the potential of CRISPR/Cas-based biosensing for water quality assessment and ultrasensitive whole pathogen detection.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
yulx001完成签到,获得积分10
1秒前
冷静靖荷应助lulu采纳,获得10
1秒前
研友_VZG7GZ应助lulu采纳,获得10
1秒前
田様应助ytx采纳,获得10
1秒前
万能图书馆应助彩色丸子采纳,获得10
1秒前
眯眯眼的衬衫应助小蘑菇采纳,获得10
2秒前
眯眯眼的衬衫应助小蘑菇采纳,获得10
2秒前
眯眯眼的衬衫应助小蘑菇采纳,获得10
2秒前
眯眯眼的衬衫应助小蘑菇采纳,获得10
2秒前
2099发布了新的文献求助10
3秒前
kingwill应助小程同学采纳,获得20
3秒前
kingwill应助小程同学采纳,获得20
3秒前
YYYYYY完成签到,获得积分10
4秒前
酷炫若枫发布了新的文献求助10
4秒前
4秒前
4秒前
彭于晏应助yulx001采纳,获得30
5秒前
小二郎应助研友_Z1xNWn采纳,获得10
5秒前
优雅莞完成签到,获得积分10
5秒前
5秒前
Elvira完成签到,获得积分10
6秒前
7秒前
8秒前
8秒前
温暖芸发布了新的文献求助10
9秒前
9秒前
大模型应助二狗子采纳,获得20
10秒前
酷炫怀莲发布了新的文献求助10
11秒前
12秒前
苏格发布了新的文献求助10
13秒前
wxx发布了新的文献求助10
13秒前
CodeCraft应助黎土土采纳,获得30
14秒前
放逐之龙完成签到 ,获得积分10
14秒前
ytx发布了新的文献求助10
15秒前
15秒前
15秒前
agou发布了新的文献求助10
15秒前
16秒前
活泼的绿草完成签到,获得积分10
16秒前
16秒前
高分求助中
Continuum thermodynamics and material modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Theory of Block Polymer Self-Assembly 750
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3488795
求助须知:如何正确求助?哪些是违规求助? 3076316
关于积分的说明 9144818
捐赠科研通 2768620
什么是DOI,文献DOI怎么找? 1519286
邀请新用户注册赠送积分活动 703714
科研通“疑难数据库(出版商)”最低求助积分说明 701985