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
The food industry has been slow in harnessing technological developments to expand opportunities and benefit the community. One such opportunity is in the application of proteolytic enzymes to the development of softer-textured meat products that require reduced mastication force, for those with impaired dentition, and reduced strength including older adults. Proteolytic enzymes haven't been fully explored for their potential in this area. Here a response surface methodology (RSM) was applied to model the interactive effects of sous-vide and papain application on texture, color, and cooking loss of meat. An innovative meat product formulation with a reduced toughness (120 min cooking sous-vide and 0.01 mg papain/100 g) was optimized and the technological performance of the formulation was validated. Bias values of the optimized model were in the range of 0.97 to 1.06, while accuracy factors for shear force values, chewiness, TPA hardness, cooking loss, color parameters ranged from 1.00 and 1.06, both of which metrics indicated the reliability of the resultant models.
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Source |
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http://dx.doi.org/10.1016/j.meatsci.2021.108491 | DOI Listing |
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