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Recent developments in CE‐based detection methods for food‐borne pathogens
Author(s) -
Shin Gi Won,
Hwang Hee Sung,
Chung Boram,
Jung Gyoo Yeol
Publication year - 2010
Publication title -
electrophoresis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.666
H-Index - 158
eISSN - 1522-2683
pISSN - 0173-0835
DOI - 10.1002/elps.200900682
Subject(s) - food industry , food safety , identification (biology) , microbiology and biotechnology , automation , computer science , biochemical engineering , nucleic acid , computational biology , nanotechnology , biology , engineering , food science , materials science , genetics , mechanical engineering , botany
Rapid and sensitive detection of food‐borne pathogens is critical for food safety from the viewpoint of both the public health professionals and the food industry. Conventional method is, however, known to be labor‐intensive, time‐consuming, and expensive due to the separate cultivation and biochemical assay. Many relevant technologies, such as flow cytometry, MALDI‐MS, ESI‐MS, DNA microarray, and CE, have been intensively developed to date. Among them, CE is considered to be the most efficient and reproducible because of low sample loss and simple automation. CE‐based pathogen detection methods can be classified into three categories based on the separation targets: cell separation, nucleic‐acid‐based identification, and protein separation coupled with characterization. In this review, recent developments in each sphere of CE‐based technology are discussed. Additionally, the critical features of each approach and necessary future technical improvements are also reviewed.