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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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
Aroma is one major concern of tea flavor and represents an essential criterion for quality evaluation. Herein, we presented a novel approach for rapid, non-destructive and real-time fingerprinting of green tea aromas using ion mobility spectrometry (IMS) without prior sample treatment. Positive photoionization with acetone as dopant was selected as suitable source for tea volatiles analysis in comparison to other sources. To demonstrate the effectiveness of presented method, chestnut-like aroma, an indicator of high-quality green teas, was distinguished from others using IMS fingerprinting. In particular, three sub-types with subtle difference in sensory evaluation, i.e., tender, pure and roasted chestnut-like aroma, were classified by IMS fingerprinting in combination with chemometrics with an overall predictive accuracy of 95.6%. Furthermore, we demonstrated a strategy of two-dimensional IMS profiling for capturing the "dynamics" of tea volatiles. To our knowledge this is the first report of tea aroma analysis using IMS-based tool, which may serve as a complement to the conventional tea sensory evaluation and is promising for process monitoring during tea manufacture.
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Source |
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http://dx.doi.org/10.1016/j.talanta.2018.08.039 | DOI Listing |
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