| Keyword search (4,163 papers available) | ![]() |
"Chem Commun (Camb)" Category Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Oriented attachment by enantioselective facet recognition in millimeter-sized gypsum crystals. | Viedma C, Cuccia LA, McTaggart A, Kahr B, Martin AT, McBride JM, Cintas P | 27722508 CHEMBIOCHEM |
| 2 | Directing the Viedma ripening of ethylenediammonium sulfate using "Tailor-made" chiral additives. | Nguyen TP, Cheung PS, Werber L, Gagnon J, Sivakumar R, Lennox C, Sossin A, Mastai Y, Cuccia LA | 27722259 CHEMBIOCHEM |
| 3 | A NIR-responsive azobenzene-based supramolecular hydrogel using upconverting nanoparticles. | Mandl GA, Rojas-Gutierrez PA, Capobianco JA | 29726556 CNSR |
| 4 | Improving metabolome coverage and data quality: advancing metabolomics and lipidomics for biomarker discovery | Dajana Vuckovic | 29888773 CHEMBIOCHEM |
| Title: | Improving metabolome coverage and data quality: advancing metabolomics and lipidomics for biomarker discovery | ||||
| Authors: | Dajana Vuckovic | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/29888773/ | ||||
| DOI: | 10.1039/c8cc02592d | ||||
| Publication: | Chemical communications (Cambridge, England) | ||||
| Keywords: | |||||
| PMID: | 29888773 | Category: | Chem Commun (Camb) | Date Added: | 2019-05-31 |
| Dept Affiliation: |
CHEMBIOCHEM
1 Department of Chemistry and Biochemistry, Concordia University, 7141 Sherbrooke Street West, Montréal, Québec H4B 1R6, Canada. dajana.vuckovic@concordia.ca. |
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Description: |
This Feature Article highlights some of the key challenges within the field of metabolomics and examines what role separation and analytical sciences can play to improve the use of metabolomics in biomarker discovery and personalized medicine. Recent progress in four key areas is highlighted: (i) improving metabolite coverage, (ii) developing accurate methods for unstable metabolites including in vivo global metabolomics methods, (iii) advancing inter-laboratory studies and reference materials and (iv) improving data quality, standardization and quality control of metabolomics studies. |



