Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&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: 1075
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3195
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Antimicrobial resistance in mastitis-associated pathogens has heightened concerns over the safety of raw milk, which transmits pathogens from animals to humans. Elevated somatic cell count (SCC) is widely recognized as a key indicator of microbial quality in milk, often linked to mastitis infections. High SCC alters milk composition, compromises milk quality, and reduces shelf life, rendering it unsuitable for consumption. Current methods for quantitative SSC, such as flow cytometry and microscopy, are effective but impractical for on-site applications. To bridge this gap, we developed QuantM, a portable and affordable device that employs amine-functionalized iron oxide nanoparticles to isolate somatic cells from milk via surfactant-induced aggregation. It quantifies SCC in field conditions within 10 minutes, achieving 94.74% sensitivity, 90.0% specificity, and 94.74% accuracy, with a detection limit of 0.017 million cells/mL compared to flow cytometry. This low-cost solution (<$0.10 per test) promises to enhance milk quality and safeguard public health.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12373863 | PMC |
http://dx.doi.org/10.1038/s41538-025-00519-3 | DOI Listing |