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10.1016/j.isci.2021.102851 http://scihub22266oqcxt.onion/10.1016/j.isci.2021.102851 34308276!8272622!34308276     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\34308276.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       iScience 2021 ; 24 (8): 102851 Nephropedia Template TP {{tp|p=34308276|t=2021. Sensor array and gas chromatographic detection of the blood serum volatolomic signature of COVID-19 |pdf=|usr=}}{{34308276}} gab.com Text Sensor array and gas chromatographic detection of the blood serum volatolomic signature of COVID-19 JO: iScience http://www.kidney.de/pget.php?&tw=1&pmid=34308276 #FOAvip Volatolomics is gaining consideration as a viable approach to diagnose several diseases, and it also shows promising results to discriminate COVID-19 patients via breath analysis. This paper extends the study of the relationship between volatile compounds (VOCs) and COVID-19 to blood serum. Blood samples were collected from subjects recruited at the emergency department of a large public hospital. The VOCs were analyzed with a gas chromatography mass spectrometer (GC/MS). GC/MS data show that in more than 100 different VOCs, the pattern of abundances of 17 compounds identifies COVID-19 from non-COVID with an accuracy of 89% (sensitivity 94% and specificity 83%). GC/MS analysis was complemented by an array of gas sensors whose data achieved an accuracy of 89% (sensitivity 94% and specificity 80%). Twit Text FOAVip Sensor array and gas chromatographic detection of the blood serum volatolomic signature of COVID-19 ????iScience http://www.kidney.de/pget.php?&tw=1&pmid=34308276 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34308276 #FOAvip English Wikipedia <ref>{{Cite pmid|34308276}}</ref> Sensor array and gas chromatographic detection of the blood serum volatolomic signature of COVID-19 #MMPMID34308276 Mougang YK; Di Zazzo L; Minieri M; Capuano R; Catini A; Legramante JM; Paolesse R; Bernardini S; Di Natale C iScience 2021[Aug]; 24 (8): 102851 PMID34308276show ga Volatolomics is gaining consideration as a viable approach to diagnose several diseases, and it also shows promising results to discriminate COVID-19 patients via breath analysis. This paper extends the study of the relationship between volatile compounds (VOCs) and COVID-19 to blood serum. Blood samples were collected from subjects recruited at the emergency department of a large public hospital. The VOCs were analyzed with a gas chromatography mass spectrometer (GC/MS). GC/MS data show that in more than 100 different VOCs, the pattern of abundances of 17 compounds identifies COVID-19 from non-COVID with an accuracy of 89% (sensitivity 94% and specificity 83%). GC/MS analysis was complemented by an array of gas sensors whose data achieved an accuracy of 89% (sensitivity 94% and specificity 80%). äSensor array and gas chromatographic detection of the blood serum vola(epmc).pdf DeepDyve Pubget Overpricing