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
Microfluidic channel systems can be used for various biomedical applications, including drug administration, wound healing, cell culture research, and many others. A 3D microfluidic channel system has enormous potential over conventional microfluidic channel systems, including the capacity to simulate biological events in a laboratory setting. This system has the ability to recreate biological phenomena such as concentration gradient generators (CGGs). Microfluidic CGGs have complex fabrication when built into a 3D channel system. These complex systems can be built with complicated processes such as plasma bonding, which requires expensive setup and fine equipment. Therefore, in this study, a smart additive manufacturing technique is applied for an enormous review of the design and fabrication process, which is optimized for different operating conditions. This study employs a 3D printed removable channel mold to avoid the complex fabrication technique of microfluidic channels, allowing the direct casting of polydimethylsiloxane without extra bonding stages. The proposed design comprises dual mixing stages, incorporating a 3D mixer configuration and a converging output to attain the desired gradient outcome. Optimization is performed to achieve the best operating conditions by using response surface methodology, with channel dimension and operating volumetric flow rate as individual variables to minimize the gradient gap value . As a result, the optimal operating conditions are the combinations of 640 channel dimensions and operating volumetric flow rates, generating a stable and linear gradient value raise. A cost analysis was conducted to assess the fabrication expenses, revealing that the production cost of a sole 3D microfluidic channel is merely 1.42 USD.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11685786 | PMC |
http://dx.doi.org/10.1089/3dp.2023.0169 | DOI Listing |
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