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Conference Paper: Broadband IR-fingerprinting of human blood as a universal tool for diseases diagnostics
| Title | Broadband IR-fingerprinting of human blood as a universal tool for diseases diagnostics |
|---|---|
| Authors | |
| Issue Date | 2019 |
| Citation | Optics Infobase Conference Papers, 2019, v. Part F143-EQEC 2019, article no. 2019-jsii_p_4 How to Cite? |
| Abstract | Many diseases cause characteristic changes in the molecular composition of biofluids such as human blood. Thus, a sufficiently sensitive and specific blood analysis could be used for disease detection. Particularly, physiological phenotypes (health as well as disease states) are reflected by minor changes in the concentration of several, possibly thousands, of different molecules in blood which cover a wide concentration dynamic range [1]. An approach that could thus quantitatively detect different molecular groups of blood simultaneously (such as e.g. proteins, metabolites, carbohydrates) would be generally very advantageous. |
| Persistent Identifier | http://hdl.handle.net/10722/365089 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Leonardo, Cristina | - |
| dc.contributor.author | Kepesidis, Kosmas V. | - |
| dc.contributor.author | Linkohr, Birgit | - |
| dc.contributor.author | Voronina, Liudmila | - |
| dc.contributor.author | Huber, Marinus | - |
| dc.contributor.author | Trubetskov, Michael | - |
| dc.contributor.author | Peters, Annette | - |
| dc.contributor.author | Gieger, Christian | - |
| dc.contributor.author | Krausz, Ferenc | - |
| dc.contributor.author | Zigman, Mihaela | - |
| dc.date.accessioned | 2025-10-30T08:36:54Z | - |
| dc.date.available | 2025-10-30T08:36:54Z | - |
| dc.date.issued | 2019 | - |
| dc.identifier.citation | Optics Infobase Conference Papers, 2019, v. Part F143-EQEC 2019, article no. 2019-jsii_p_4 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/365089 | - |
| dc.description.abstract | Many diseases cause characteristic changes in the molecular composition of biofluids such as human blood. Thus, a sufficiently sensitive and specific blood analysis could be used for disease detection. Particularly, physiological phenotypes (health as well as disease states) are reflected by minor changes in the concentration of several, possibly thousands, of different molecules in blood which cover a wide concentration dynamic range [1]. An approach that could thus quantitatively detect different molecular groups of blood simultaneously (such as e.g. proteins, metabolites, carbohydrates) would be generally very advantageous. | - |
| dc.language | eng | - |
| dc.relation.ispartof | Optics Infobase Conference Papers | - |
| dc.title | Broadband IR-fingerprinting of human blood as a universal tool for diseases diagnostics | - |
| dc.type | Conference_Paper | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.scopus | eid_2-s2.0-85084615255 | - |
| dc.identifier.volume | Part F143-EQEC 2019 | - |
| dc.identifier.spage | article no. 2019-jsii_p_4 | - |
| dc.identifier.epage | article no. 2019-jsii_p_4 | - |
| dc.identifier.eissn | 2162-2701 | - |
