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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Dry cell weight (DCW) and optical density (OD) measurement methods provide useful data for assessing microbial growth. However, their sampling process is labor-intensive and time-consuming. Therefore, we aimed to evaluate a method for measuring microbial growth through continuous CO measurement under aerobic conditions using a pressure-based respiration detection system, which is traditionally used in anaerobic environments and applies measurement of reduced pressure by capturing CO with KOH. The pressure reduction rate, OD, and DCW values were compared during Ralstonia eutropha H16 culture, which revealed a correlation of R of 0.99 between the pressure reduction and DCW and a change of DCW (g/L) per pressure (1 mbar) of -0.02 g/L. It showed theoretical limit of detection at 14.67 mbar corresponding to 0.0428 g/L of DCW and theoretical limit of quantification at 48.9 mbar as lower limits. When the pressure-based method was applied to compare carbon source utilization and growth of different strains, such as E. coli sp., Pseudomonas sp., Burkholderia sp., and Bacillus sp., it showed a high correlation with DCW. Overall, these results demonstrate that the pressure-based respiration detection system is a reliable tool for microbial growth monitoring and offers significant advantages by providing real-time data with less labor.
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http://dx.doi.org/10.1016/j.ab.2025.115879 | DOI Listing |