Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Graphene related materials have been widely employed as highly efficient transducers for biorecognition. Here we show a conceptually new approach of using graphene oxide nanoplatelets (50 × 50 nm) as voltammetric inherently active labels for specific protein-target molecule recognition. This proof-of-principle is demonstrated by biotin-avidin recognition, which displays that graphene oxide nanoplatelet labels show excellent selectivity. Therefore, it is expected that inherently electroactive graphene oxide nanoplatelet labels will play a similar role as electroactive gold nanoparticle labels which were developed more than a decade ago.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1039/c3nr02101g | DOI Listing |
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