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: 3122
Function: getPubMedXML
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
A delicate dual-readout immunosensor based on tetraphenylporphyrin-polymer dots (TPP-Pdots) with brilliant photoelectrochemical and photothermal performance was first successfully fabricated for the ultrasensitive detection of sialic acid (SA). Herein, TPP-Pdots with good biocompatibility, extraordinary light-harvesting ability and excellent photothermal conversion efficiency was used to capture SA antibody as dual-functional bioprobe for generating photocurrent and temperature signal. Furthermore, the large surface and morphology-mediated of rutile-TiO (R-TiO) was beneficial to load amounts of TPP-Pdots for improved PEC signal and photothermal signal. Importantly, the temperature readout resulted from the variation of target concentration could be easily obtained by a universal thermometer which was time-saving and cost-saving. Under the optimized experimental conditions, the photocurrent densities and temperature changes proportionally increased with the increasing of SA concentrations from 3.5 × 10 ng/mL to 35 ng/mL (R = 0.996). Impressively, the dual-readout approach proposed here not only featured with good accuracy and high sensitivity for SA detection, but also paved the way for the development of a dual-readout immunoassay based on PEC biosensor.
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Source |
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http://dx.doi.org/10.1016/j.bios.2019.111567 | DOI Listing |
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