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
Phytochemical and metabolomic data were obtained for the most important phenolic compounds in ethanolic extracts from the endangered tree in Morelia, Michoacan. Samples of leaves and stems were subjected to ethanolic extraction with electric rotavapor. We developed a metabolomic analysis that encompassed the correlation between the leaf and stem extracts through principal component analysis. The data were obtained with an infinity Agilent ultrahigh resolution liquid chromatograph coupled to a Agilent triple quadrupole mass spectrometer. The protocol used was a dynamic MRM (Multiple Reaction Monitoring). Clustering result shown as heatmap (distance measure using euclidean, and clustering algorithm using ward.D).
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200229 | PMC |
http://dx.doi.org/10.1016/j.dib.2020.105569 | DOI Listing |
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