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1 Ergebnisse
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EISA-EXPOSOME: One Highly Sensitive and Autonomous Exposomi..:
Jingchuan Xue
;
Jiamin Zhu
;
Lixin Hu
...
doi:10.1021/acs.analchem.3c02697.s001. , 2023
Link:
https://doi.org/10.1021/acs.analchem.3c02697.s001
RT Journal T1
EISA-EXPOSOME: One Highly Sensitive and Autonomous Exposomic Platform with Enhanced in-Source Fragmentation/Annotation
UL https://suche.suub.uni-bremen.de/peid=base-ftunivoxfordfig:oai:figshare.com:article_24569056&Exemplar=1&LAN=DE A1 Jingchuan Xue A1 Jiamin Zhu A1 Lixin Hu A1 Junjie Yang A1 Yunbo Lv A1 Fanrong Zhao A1 Yuxian Liu A1 Tao Zhang A1 Yanpeng Cai A1 Mingliang Fang YR 2023 K1 Biochemistry K1 Genetics K1 Inorganic Chemistry K1 Space Science K1 Biological Sciences not elsewhere classified K1 Chemical Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 trace levels beyond K1 three concentration levels K1 recognize additional 1 K1 pooled dust extract K1 modified t3db database K1 high throughput screening K1 filter false positives K1 experimental fragment spectra K1 autonomous exposomic platform K1 30 – 1 K1 low levels using K1 precursor ion (< K1 pooled dust sample K1 peak correlation coefficient K1 8 ppb level K1 8 ppb ) K1 5 ppb level K1 one highly sensitive K1 eisa ms1 spectra K1 accepted targeted ms K1 fragments observed using K1 facilitate molecular identification K1 8 ppb K1 5 ppb K1 demonstrated using K1 real sample K1 precursor ions K1 peak intensity K1 zigzag index K1 weighted score K1 untargeted metabolomics K1 traditional approach K1 source fragmentation K1 results show K1 remarkably improve K1 quadrupole time K1 principal application K1 ms mode K1 eisa technique K1 candidate features K1 biggest challenges K1 automatically search K1 also used JF doi:10.1021/acs.analchem.3c02697.s001 LK http://dx.doi.org/https://doi.org/10.1021/acs.analchem.3c02697.s001 DO https://doi.org/10.1021/acs.analchem.3c02697.s001 SF ELIB - SuUB Bremen
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