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: 3165
Function: getPubMedXML
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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Food contaminated with 3-monochloropropane-1,2-diol (3-MCPD) represents a significant global public health concern. In this study, a portable molecularly imprinted electrochemical sensor (MIECS) integrated with a Bluetooth-enabled smartphone application was developed for real-time 3-MCPD detection and data visualization. The sensor utilizes chitosan-based molecularly imprinted polymers (MIPs) for selective recognition, coupled with carbon dots (CDs) to enhance electrochemical response. Optimal synthesis conditions included 0.4 % chitosan, a 1:3 (v) template-to-monomer ratio, 35 % glutaraldehyde, and 300-s deposition time. The MIECS demonstrated a linear range of 1.00 × 10-1.00 × 10 mol/L, with a detection limit of 1.8 × 10 mol/L for 3-MCPD concentrations. Validation in drinking water and soy sauce samples yielded recovery rates of 80.63 %-127.00 %. Electrochemical signal analysis was performed using a Bluetooth-enabled smartphone application, facilitating rapid and intelligent 3-MCPD detection. The proposed MIECS exhibited high selectivity, stability, and cost-effectiveness, making it a promising tool for food safety monitoring.
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Source |
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http://dx.doi.org/10.1016/j.foodchem.2025.145397 | DOI Listing |