Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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The need for rapid and sensitive diagnostic tools is emphasized by the significant impact of infectious diseases on global health. This study presents a cell-free biosensor utilizing toehold switch technology, combined with nucleic acid sequence-based amplification (NASBA), for high specificity and sensitivity in Zika virus detection. The toehold switch, a denovo-designed regulator of gene expression, forms the crux of our detection system, offering a versatile and programmable approach to nucleic acid-based diagnostics. The cell-free system based on extract served as the platform for sensor expression, enabling real-time monitoring and optimization of the reaction conditions for minimal background leakage and maximal activation efficiency. The performance of the toehold switch sensor was rigorously evaluated through a series of tests, revealing that switch S23 demonstrated the most promising activation effects and sequence specificity. Notably, the integration of NASBA technology significantly enhanced the detection sensitivity, achieving a remarkable limit of 2.9 aM, thus addressing the intrinsic limitation of toehold switches in detecting low-abundance targets. The detection system's low cost, simplicity, and adaptability to various pathogens render it a valuable asset in the global health toolkit. This study presents a significant advancement in the field of synthetic biology, offering a robust, sensitive, and rapid diagnostic solution for Zika virus detection.
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Source |
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http://dx.doi.org/10.1021/acs.analchem.4c05808 | DOI Listing |