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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The development of efficient methods for sensing αlpha-glucosidase (α-Glu) and screening its inhibitors has attracted significant attention due to their pivotal role in discovering therapeutic medicines for Type 2 diabetes. Herein, a low-cost and sensitive fluorometric strategy based on red carbon dots (R-CDs) and cobalt oxyhydroxide nanosheets (CoOOH NSs) had been established to detect α-Glu and screen its inhibitory compounds in natural products. As a switched fluorescence source, the fluorescence of R-CDs at 625 nm could be quenched by CoOOH NSs via Förster resonance energy transfer (FRET), assembled into nonfluorescent R-CDs@CoOOH nanocompositecomposites (R-CDs@CoOOH NCs). α-Glu hydrolyzed L-ascorbic acid-2---D-glucopyranose to produce ascorbic acid, which could reduce CoOOH NSs to Co, destroying R-CDs@CoOOH NCs and restoring the emission of red fluorescence. The proposed method exhibited a linear α-Glu range from 0.01 to 15 U mL and a low limit of detection (LOD) of 0.0037 U mL. Meanwhile, high-performance liquid chromatography-DAD-fraction collector (HPLC-DAD-FC) had been employed and combined with ultra-high-performance liquid chromatography-triple quadrupole time-of-flight mass spectrometry to isolate, enrich, and characterize compounds from (). This strategy was further extended by integrating the fluorometric platform with the HPLC-DAD-FC system to explore the inhibitory effects of extracts and anti-diabetic ingredients. Finally, 85 constituents were identified, with seven compounds exhibiting high α-Glu inhibitory activity. Consequently, the established strategy could accurately determine α-Glu in vitro and screen its inhibitors from natural products.
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Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12264606 | PMC |
http://dx.doi.org/10.1016/j.mtbio.2025.102018 | DOI Listing |