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: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1057
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3175
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
This study applied Near Infrared (NIR) and Mid Infrared (MIR) Spectroscopy combined with chemometrics to detect and quantify adulteration in cupuaçu pulp. A total of 66 authentic samples, 198 adulterated with sucrose solution (15, 30, and 45 % w/w), and 25 commercial samples were analyzed. Classification models showed high accuracy, sensitivity, and specificity, with MIR achieving 100 % accuracy in validation. For quantification, MIR performed best, with an R-value of 0.96. Adulteration was detected in over 50 % of commercial samples, with levels ranging from 15.28 % to 34.45 %. The results confirm that NIR and MIR are effective tools for identifying and quantifying cupuaçu pulp adulteration, demonstrating their potential for quality control applications.
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Source |
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http://dx.doi.org/10.1016/j.foodchem.2025.143642 | DOI Listing |
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