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
Nowadays more and more hydrophilic interaction liquid chromatography (HILIC) columns with diverse functional groups have become commercially available, which pose a challenge to select an appropriate one. However, there is no universal model to provide guidance for selecting HILIC columns. To handle this problem, a retention model named "hydrophilic-subtraction model" was developed to characterize and compare HILIC columns. The hydrophilic-subtraction model, which was designed based on the widely recognized HILIC retention mechanisms including hydrophilic partitioning, hydrogen-bonding and electrostatic interactions, was established by the retention of 41 solutes with various properties on 8 representative HILIC columns. High correlation coefficients (R(2)≥0.990) and small standard deviations (SD≤0.041) indicated that this model correlated effectively the retention with solute descriptors and column parameters. To evaluate reliability of the model, the model was further applied to characterize 15 additional HILIC columns using 41 solutes. The results of multiple linear regression confirmed the significance of the model. The regression coefficients of the model were used to investigate retention mechanisms occurring in different chromatographic systems. Based on these regression coefficients, selectivities of HILIC stationary phases were exhibited intuitively by an angle graph and a spider diagram, which could be used as guidance for researchers to select appropriate columns for HILIC separation. Additionally, a rapid and convenient procedure was proposed for characterizing HILIC columns.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1016/j.chroma.2015.03.065 | DOI Listing |
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