FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3038828777> ?p ?o ?g. }

• W3038828777 endingPage "110060" @default.
• W3038828777 startingPage "110060" @default.
• W3038828777 abstract "In recent years numerous reports have highlighted the options of chemical breath analysis with regard to non-invasive cancer detection. Certain volatile organic compounds (VOC) supposedly present in higher amounts or in characteristic patterns have been suggested as potential biomarkers. However, so far no clinical application based on a specific set of compounds appears to exist. Numerous reports on the capability of sniffer dogs and sensor arrays or electronic noses to distinguish breath of cancer patients and healthy controls supports the concept of genuine cancer-related volatile profiles. However, the actual compounds responsible for the scent are completely unknown and there is no correlation with the potential biomarkers suggested on basis of chemical trace analysis. It is outlined that specific features connected with the VOC analysis in breath – namely small concentrations of volatiles, interfering background concentrations, considerable sampling effort and sample instability, impracticability regarding routine application - stand in the way of substantial progress. The underlying chemical-analytical challenge can only be met considering the severe susceptibility of VOC determination to these adverse conditions. Therefore, the attention is drawn to the needs for appropriate quality assurance/quality control as the most important feature for the reliable quantification of volatiles present in trace concentration. Consequently, the advantages of urine as an alternative matrix for volatile biomarker search in the context of diagnosing lung and other cancers are outlined with specific focus on quality assurance and practicability in clinical chemistry. The headspace over urine samples as the VOC source allows adapting gas chromatographical procedures well-established in water analysis. Foremost, the selection of urine over breath as non-invasive matrix should provide considerably more resilience to adverse effects during sampling and analysis. The most important advantage of urine over breath is seen in the option to partition, dispense, mix, spike, store, and thus to dispatch taylor-made urine samples on demand for quality control measures. Although it is still open at this point if cancer diagnosis supported by non-invasively sampled VOC profiles will ultimately reach clinical application the advantages of urine over breath should significantly facilitate urgently required steps beyond the current proof-of-concept stage and towards standardisation." @default.
• W3038828777 created "2020-07-10" @default.
• W3038828777 creator A5054387983 @default.
• W3038828777 date "2020-10-01" @default.
• W3038828777 modified "2023-09-27" @default.
• W3038828777 title "Non-invasive cancer detection using volatile biomarkers: Is urine superior to breath?" @default.
• W3038828777 cites W1491848125 @default.
• W3038828777 cites W1568018996 @default.
• W3038828777 cites W1804204870 @default.
• W3038828777 cites W1940373023 @default.
• W3038828777 cites W1965473974 @default.
• W3038828777 cites W1965866043 @default.
• W3038828777 cites W1970255304 @default.
• W3038828777 cites W1971128511 @default.
• W3038828777 cites W1972242115 @default.
• W3038828777 cites W1983393338 @default.
• W3038828777 cites W1984079658 @default.
• W3038828777 cites W1986724319 @default.
• W3038828777 cites W1987001230 @default.
• W3038828777 cites W1994905463 @default.
• W3038828777 cites W2002100244 @default.
• W3038828777 cites W2007635507 @default.
• W3038828777 cites W2011329336 @default.
• W3038828777 cites W2019046514 @default.
• W3038828777 cites W2026713007 @default.
• W3038828777 cites W2030335543 @default.
• W3038828777 cites W2051211320 @default.
• W3038828777 cites W2056810541 @default.
• W3038828777 cites W2057539683 @default.
• W3038828777 cites W2059982453 @default.
• W3038828777 cites W2063821826 @default.
• W3038828777 cites W2067257222 @default.
• W3038828777 cites W2070674372 @default.
• W3038828777 cites W2074995915 @default.
• W3038828777 cites W2077148713 @default.
• W3038828777 cites W2077210553 @default.
• W3038828777 cites W2090919959 @default.
• W3038828777 cites W2092496626 @default.
• W3038828777 cites W2102788947 @default.
• W3038828777 cites W2103389940 @default.
• W3038828777 cites W2110608229 @default.
• W3038828777 cites W2119514457 @default.
• W3038828777 cites W2121454357 @default.
• W3038828777 cites W2128242805 @default.
• W3038828777 cites W2132575711 @default.
• W3038828777 cites W2136310313 @default.
• W3038828777 cites W2148765323 @default.
• W3038828777 cites W2149443601 @default.
• W3038828777 cites W2154283129 @default.
• W3038828777 cites W2179861459 @default.
• W3038828777 cites W2196896244 @default.
• W3038828777 cites W2280013794 @default.
• W3038828777 cites W2531342338 @default.
• W3038828777 cites W2603052745 @default.
• W3038828777 cites W2623479987 @default.
• W3038828777 cites W2765640874 @default.
• W3038828777 cites W2786517672 @default.
• W3038828777 cites W2789898921 @default.
• W3038828777 cites W2809880850 @default.
• W3038828777 cites W2842173760 @default.
• W3038828777 cites W2888529298 @default.
• W3038828777 cites W2905048148 @default.
• W3038828777 cites W2910501941 @default.
• W3038828777 cites W2913894354 @default.
• W3038828777 cites W2918776917 @default.
• W3038828777 cites W2945325878 @default.
• W3038828777 cites W2951106621 @default.
• W3038828777 cites W2961209004 @default.
• W3038828777 cites W2969734923 @default.
• W3038828777 cites W2997050748 @default.
• W3038828777 doi "https://doi.org/10.1016/j.mehy.2020.110060" @default.
• W3038828777 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32683218" @default.
• W3038828777 hasPublicationYear "2020" @default.
• W3038828777 type Work @default.
• W3038828777 sameAs 3038828777 @default.
• W3038828777 citedByCount "17" @default.
• W3038828777 countsByYear W30388287772021 @default.
• W3038828777 countsByYear W30388287772022 @default.
• W3038828777 countsByYear W30388287772023 @default.
• W3038828777 crossrefType "journal-article" @default.
• W3038828777 hasAuthorship W3038828777A5054387983 @default.
• W3038828777 hasConcept C104317684 @default.
• W3038828777 hasConcept C107872376 @default.
• W3038828777 hasConcept C121608353 @default.
• W3038828777 hasConcept C124535831 @default.
• W3038828777 hasConcept C126322002 @default.
• W3038828777 hasConcept C151730666 @default.
• W3038828777 hasConcept C185592680 @default.
• W3038828777 hasConcept C2777002142 @default.
• W3038828777 hasConcept C2779343474 @default.
• W3038828777 hasConcept C2781197716 @default.
• W3038828777 hasConcept C43617362 @default.
• W3038828777 hasConcept C46111723 @default.
• W3038828777 hasConcept C55493867 @default.
• W3038828777 hasConcept C71924100 @default.
• W3038828777 hasConcept C86803240 @default.
• W3038828777 hasConcept C93353639 @default.
• W3038828777 hasConceptScore W3038828777C104317684 @default.

• next