Rapid label‐free detection of Salmonella enterica with biolayer interferometry
Salmonella enterica is an important foodborne pathogen. Its rapid and reliable detection in food is critical for the effective prevention of the outbreak of foodborne diseases. Here, we report a novel method for the rapid, specific, label‐free, and real‐time detection of S. enterica with biolayer in...
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Published in | Journal of food safety Vol. 41; no. 3 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken, USA
John Wiley & Sons, Inc
01.06.2021
Blackwell Publishers Inc |
Subjects | |
Online Access | Get full text |
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Summary: | Salmonella enterica is an important foodborne pathogen. Its rapid and reliable detection in food is critical for the effective prevention of the outbreak of foodborne diseases. Here, we report a novel method for the rapid, specific, label‐free, and real‐time detection of S. enterica with biolayer interferometry (BLI) using an antibody as the receptor. The limit of detection for S. enterica in buffer was 1.6 × 105 CFU/ml at a binding time of 300 s. This method enabled the successful identification of S. enterica in complex food matrices (whole egg powder and beef samples) with satisfactory recovery rates. This BLI‐based method holds great promise in serving as a novel diagnostic tool in the field of food safety and other related fields for the rapid, label‐free, specific, and real‐time detection of S. enterica.
A novel method was developed for the rapid, specific, label‐free, and real‐time detection of Salmonella enterica based on biolayer interferometry (BLI) using an antibody as the receptor. The method enabled the successful identification of S. enterica in complex food matrices (whole egg powder and beef samples) with satisfactory recovery rates. This BLI‐based method holds great promise in serving as a novel diagnostic tool in the field of food safety and other related fields for the rapid detection of S. enterica. |
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Bibliography: | Funding information China Postdoctoral Science Foundation, Grant/Award Number: 2018M631877; Fundamental Research Funds for the Central Universities, Grant/Award Number: 45119031C031; National Natural Science Foundation of China, Grant/Award Number: 31701713; Science and Technology Development Program of Jilin Province, Grant/Award Number: 20180101246JC |
ISSN: | 0149-6085 1745-4565 |
DOI: | 10.1111/jfs.12896 |