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
98%
921
2 minutes
20
Surface-Enhanced Raman Scattering (SERS) shows promise for monitoring health during space missions, particularly in assessing the effects of microgravity and radiation. However, traditional SERS sensors struggle with precise interfacial engineering, leading to a relatively poor assembly efficiency, and are unable to meet the practical needs of extreme spaceflight environments. To address this, it is designed and fabricated precision-arranged DNA origami plasmonic nanoantennas. By leveraging DNA origami's addressability, it is built a 3 × 4 antenna array with a controlled spacing of 21.76 nm, enhancing assembly efficiency fourfold compared to disordered systems. The ordered system enabled accurate detection of calcium ions, interleukin-6, and microRNA-214 in serum from mice exposed to microgravity and radiation, with intraclass correlation coefficients > 0.75, comparable to ELISA and qPCR. More importantly, integrating the system with a convolutional neural network enabled precise bone health prediction. This platform provides a promising tool for astronaut health monitoring.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/advs.202507189 | DOI Listing |