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
Industry-standard guidance on method development and validation of hybrid LC-MS/MS assays for protein biomarkers, particularly on evaluation of parallelism, is lacking. Using a protein endogenous to humans and mice as a model analyte, a quantitative hybrid LC-MS/MS workflow was developed using a surrogate matrix approach with a recombinant form of the protein as the calibrant. The developed workflow identified a surrogate matrix, established parallelism between the surrogate and authentic matrices and assessed parallelism between the recombinant and authentic forms of the protein. The final method was qualified using precision and accuracy with recovery assessments. The established workflow can be used in future bioanalytical studies to develop effective hybrid LC-MS/MS methods for endogenous protein biomarkers.
Download full-text PDF |
Source |
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http://dx.doi.org/10.4155/bio-2022-0058 | DOI Listing |
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