Matches in SemOpenAlex for { <https://semopenalex.org/work/W2548372708> ?p ?o ?g. }
- W2548372708 endingPage "21" @default.
- W2548372708 startingPage "1" @default.
- W2548372708 abstract "Metabolomics is a rapidly developing branch of science that concentrates on identifying biologically active molecules with potential biomarker properties. To define the best biomarkers for diseases, metabolomics uses both models (in vitro, animals) and human, as well as, various techniques such as mass spectroscopy, gas chromatography, liquid chromatography, infrared and UV-VIS spectroscopy and nuclear magnetic resonance. The last one takes advantage of the magnetic properties of certain nuclei, such as 1H, 13C, 31P, 19F, especially their ability to absorb and emit energy, what is crucial for analyzing samples. Among many spectroscopic NMR techniques not only one-dimensional (1D) techniques are known, but for many years two-dimensional (2D, for example, COSY, DOSY, JRES, HETCORE, HMQS), three-dimensional (3D, DART-MS, HRMAS, HSQC, HMBC) and solid-state NMR have been used. In this paper, authors taking apart fundamental division of nuclear magnetic resonance techniques intend to shown their wide application in metabolomic studies, especially in identifying biomarkers." @default.
- W2548372708 created "2016-11-11" @default.
- W2548372708 creator A5011283169 @default.
- W2548372708 creator A5013874924 @default.
- W2548372708 creator A5024971456 @default.
- W2548372708 creator A5038651583 @default.
- W2548372708 creator A5048607423 @default.
- W2548372708 creator A5083430425 @default.
- W2548372708 creator A5090510562 @default.
- W2548372708 date "2016-11-02" @default.
- W2548372708 modified "2023-10-12" @default.
- W2548372708 title "NMR Techniques in Metabolomic Studies: A Quick Overview on Examples of Utilization" @default.
- W2548372708 cites W1522505461 @default.
- W2548372708 cites W1542229172 @default.
- W2548372708 cites W1964281310 @default.
- W2548372708 cites W1964493191 @default.
- W2548372708 cites W1965321163 @default.
- W2548372708 cites W1969471102 @default.
- W2548372708 cites W1970722888 @default.
- W2548372708 cites W1975065870 @default.
- W2548372708 cites W1976493868 @default.
- W2548372708 cites W1979782185 @default.
- W2548372708 cites W1981148241 @default.
- W2548372708 cites W1981931799 @default.
- W2548372708 cites W1982064004 @default.
- W2548372708 cites W1982896844 @default.
- W2548372708 cites W198468214 @default.
- W2548372708 cites W1987100717 @default.
- W2548372708 cites W1987581102 @default.
- W2548372708 cites W1989456586 @default.
- W2548372708 cites W1989791019 @default.
- W2548372708 cites W1996315245 @default.
- W2548372708 cites W1998346337 @default.
- W2548372708 cites W2001219275 @default.
- W2548372708 cites W2003151411 @default.
- W2548372708 cites W2003440937 @default.
- W2548372708 cites W2003536401 @default.
- W2548372708 cites W2003715088 @default.
- W2548372708 cites W2003996613 @default.
- W2548372708 cites W2007412933 @default.
- W2548372708 cites W2012860987 @default.
- W2548372708 cites W2013030543 @default.
- W2548372708 cites W2017142378 @default.
- W2548372708 cites W2026896316 @default.
- W2548372708 cites W2028195287 @default.
- W2548372708 cites W2036258026 @default.
- W2548372708 cites W2036583236 @default.
- W2548372708 cites W2036746732 @default.
- W2548372708 cites W2042505098 @default.
- W2548372708 cites W2049454380 @default.
- W2548372708 cites W2050588824 @default.
- W2548372708 cites W2051994165 @default.
- W2548372708 cites W2052591421 @default.
- W2548372708 cites W2053163502 @default.
- W2548372708 cites W2063214203 @default.
- W2548372708 cites W2064625584 @default.
- W2548372708 cites W2071534982 @default.
- W2548372708 cites W2074410249 @default.
- W2548372708 cites W2075776650 @default.
- W2548372708 cites W2079664351 @default.
- W2548372708 cites W2080514381 @default.
- W2548372708 cites W2083009758 @default.
- W2548372708 cites W2084275622 @default.
- W2548372708 cites W2084351115 @default.
- W2548372708 cites W2085578084 @default.
- W2548372708 cites W2088810423 @default.
- W2548372708 cites W2092766394 @default.
- W2548372708 cites W2094470533 @default.
- W2548372708 cites W2104854233 @default.
- W2548372708 cites W2107869090 @default.
- W2548372708 cites W2117927930 @default.
- W2548372708 cites W2118925636 @default.
- W2548372708 cites W2119002319 @default.
- W2548372708 cites W2127734277 @default.
- W2548372708 cites W2131219362 @default.
- W2548372708 cites W2147973422 @default.
- W2548372708 cites W2158827997 @default.
- W2548372708 cites W2161666726 @default.
- W2548372708 cites W2166921498 @default.
- W2548372708 cites W2168525608 @default.
- W2548372708 cites W2189640005 @default.
- W2548372708 cites W3107374284 @default.
- W2548372708 cites W4249164705 @default.
- W2548372708 doi "https://doi.org/10.1007/s00723-016-0846-9" @default.
- W2548372708 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5222922" @default.
- W2548372708 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28111499" @default.
- W2548372708 hasPublicationYear "2016" @default.
- W2548372708 type Work @default.
- W2548372708 sameAs 2548372708 @default.
- W2548372708 citedByCount "51" @default.
- W2548372708 countsByYear W25483727082017 @default.
- W2548372708 countsByYear W25483727082018 @default.
- W2548372708 countsByYear W25483727082019 @default.
- W2548372708 countsByYear W25483727082020 @default.
- W2548372708 countsByYear W25483727082021 @default.
- W2548372708 countsByYear W25483727082022 @default.
- W2548372708 countsByYear W25483727082023 @default.
- W2548372708 crossrefType "journal-article" @default.