Comprehensive review of conventional and state-of-the-art detection methods of Cryptosporidium

隐孢子虫 计算机科学 风险分析(工程) 纳米技术 业务 生物 材料科学 粪便 古生物学
作者
George Luka,Ehsan Samiei,Nishat Tasnim,Arash Dalili,Homayoun Najjaran,Mina Hoorfar
出处
期刊:Journal of Hazardous Materials [Elsevier BV]
卷期号:421: 126714-126714 被引量:24
标识
DOI:10.1016/j.jhazmat.2021.126714
摘要

Cryptosporidium is a critical waterborne protozoan pathogen found in water resources that have been a major cause of death and serious illnesses worldwide, costing millions of dollars annually for its detection and treatment. Over the past several decades, substantial efforts have been made towards developing techniques for the detection of Cryptosporidium . Early diagnostic techniques were established based on the existing tools in laboratories, such as microscopes. Advancements in fluorescence microscopy, immunological, and molecular techniques have led to the development of several kits for the detection of Cryptosporidium spp. However, these methods have several limitations, such as long processing times, large sample volumes, the requirement for bulky and expensive laboratory tools, and the high cost of reagents. There is an urgent need to improve these existing techniques and develop low-cost, portable and rapid detection tools for applications in the water quality industry. In this review, we compare recent advances in nanotechnology, biosensing and microfluidics that have facilitated the development of sophisticated tools for the detection of Cryptosporidium spp.Finally, we highlight the advantages and disadvantages, of these state-of-the-art detection methods compared to current analytical methodologies and discuss the need for future developments to improve such methods for detecting Cryptosporidium in the water supply chain to enable real-time and on-site monitoring in water resources and remote areas. • Conventional and lab-on-chip methods for detection of Cryptosporidium are reviewed. • Immunological, molecular, and nanotechnology detection techniques are discussed. • Lab-on-chip methods reduce processing time from days to as low as hours. • Novel detection methods offer a detection limit as low as a single oocyst.

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