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
Metagenomic-based analyses have the potential to revolutionize our understanding of the microbiology of food production and processing environments. By adopting such approaches, it will be possible to more accurately determine sources of microbial contamination, identify critical control points for such contaminants, and select practices that optimize quality and safety. This mini-review will discuss the merits of adopting metagenostic-based approaches, highlight novel insights that they have provided to date and consider how they could be further implemented.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/1462-2920.13859 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!