Academic literature on the topic 'Volatile Biomarkers'
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Journal articles on the topic "Volatile Biomarkers"
Zhang, Haipeng, Huan Wen, Jiajing Chen, Zhaoxin Peng, Meiyan Shi, Mengjun Chen, Ziyu Yuan, Yuan Liu, Hongyan Zhang, and Juan Xu. "Volatile Compounds in Fruit Peels as Novel Biomarkers for the Identification of Four Citrus Species." Molecules 24, no. 24 (December 12, 2019): 4550. http://dx.doi.org/10.3390/molecules24244550.
Full textMilanowski, Maciej, Paweł Pomastowski, Tomasz Ligor, and Bogusław Buszewski. "Saliva – Volatile Biomarkers and Profiles." Critical Reviews in Analytical Chemistry 47, no. 3 (January 12, 2017): 251–66. http://dx.doi.org/10.1080/10408347.2016.1266925.
Full textChai, Hwa Chia, and Kek Heng Chua. "The Potential Use of Volatile Biomarkers for Malaria Diagnosis." Diagnostics 11, no. 12 (November 30, 2021): 2244. http://dx.doi.org/10.3390/diagnostics11122244.
Full textKwak, Jae, Michelle Gallagher, Mehmet Hakan Ozdener, Charles J. Wysocki, Brett R. Goldsmith, Amaka Isamah, Adam Faranda, et al. "Volatile biomarkers from human melanoma cells." Journal of Chromatography B 931 (July 2013): 90–96. http://dx.doi.org/10.1016/j.jchromb.2013.05.007.
Full textJerković, Igor. "Volatile Benzene Derivatives as Honey Biomarkers." Synlett 24, no. 18 (August 12, 2013): 2331–34. http://dx.doi.org/10.1055/s-0033-1338972.
Full textIssitt, Theo, Laura Wiggins, Martin Veysey, Sean T. Sweeney, William J. Brackenbury, and Kelly Redeker. "Volatile compounds in human breath: critical review and meta-analysis." Journal of Breath Research 16, no. 2 (February 23, 2022): 024001. http://dx.doi.org/10.1088/1752-7163/ac5230.
Full textDe Moraes, Consuelo M., Caroline Wanjiku, Nina M. Stanczyk, Hannier Pulido, James W. Sims, Heike S. Betz, Andrew F. Read, Baldwyn Torto, and Mark C. Mescher. "Volatile biomarkers of symptomatic and asymptomatic malaria infection in humans." Proceedings of the National Academy of Sciences 115, no. 22 (May 14, 2018): 5780–85. http://dx.doi.org/10.1073/pnas.1801512115.
Full textPinto, Joana, Ângela Carapito, Filipa Amaro, Ana Rita Lima, Carina Carvalho-Maia, Maria Conceição Martins, Carmen Jerónimo, Rui Henrique, Maria de Lourdes Bastos, and Paula Guedes de Pinho. "Discovery of Volatile Biomarkers for Bladder Cancer Detection and Staging through Urine Metabolomics." Metabolites 11, no. 4 (March 26, 2021): 199. http://dx.doi.org/10.3390/metabo11040199.
Full textWallace, Lance, Timothy Buckley, Edo Pellizzari, and Sydney Gordon. "Breath Measurements as Volatile Organic Compound Biomarkers." Environmental Health Perspectives 104 (October 1996): 861. http://dx.doi.org/10.2307/3433003.
Full textKwak, Jae, and George Preti. "Volatile Disease Biomarkers in Breath: A Critique." Current Pharmaceutical Biotechnology 12, no. 7 (July 1, 2011): 1067–74. http://dx.doi.org/10.2174/138920111795909050.
Full textDissertations / Theses on the topic "Volatile Biomarkers"
Parekh, Bhavin. "Volatile biomarkers of blood glucose." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609459.
Full textJohnson, Emmanuel Uche. "Volatile organic compounds: novel potential biomarkers in bladder cancer diagnosis." Thesis, University of Bristol, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.681344.
Full textBond, A. "An investigation of volatile organic compounds as biomarkers for gastrointestinal neoplasia." Thesis, University of Liverpool, 2017. http://livrepository.liverpool.ac.uk/3006172/.
Full textCosta, Carina Filipa Pedrosa da. "Volatile exometabolone analysis of Aspergillus niger and search for molecular biomarkers pattern." Master's thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/14864.
Full textFungal infections have greatly increased in risk populations, namely in immunocompromised patients, probabily because the diagnosis of fungal infections is delayed. Microbial metabolomics arises as a powerful feature screening the metabolites produced by microorganisms. It provides information regarding the state of biological organisms which can be used as a diagnostic tool for diseases through fungal metabolites pattern. Thus, this research aimed to in-depth study of the Aspergillus niger exometabolome, in order to establish a targeted metabolomic pattern that characterizes A. niger. A methodology based on headspace-solid phase microextraction combined with comprehensive two-dimensional gas chromatography coupled to mass spectrometry with a high resolution time of flight analyser (HS-SPME/GC×GC-ToFMS) was used. A. niger exometabolome was analysed in different growth conditions: temperature (25 and 37 °C), incubation time (3 and 5 days), and culture medium (solid and liquid medium). A. niger exometabolome included 430 metabolites, distributed over several chemical families, being the major ones alcohols, aldehydes, esters, hydrocarbons, ketones and terpenoids. Differences among volatile metabolites produced under different growth conditions were observed, being the major relative abundance determined for 5 days of growth, at 25 °C, using solid medium. These results indicated the high complexity of A. niger exometabolome. A subset of 44 metabolites, which were present in all previously tested growth conditions, was defined as the A. niger targeted metabolomic pattern. This pattern may be used in detection of fungal infections by this specie and be further exploited to fungal infections diagnosis. Furthermore, this subset of metabolites was compared with samples of Candida albicans (yeast) and Penicillium chrysogenum (filamentous fungi), and Partial Least Squares Discriminant Analysis (PLS-DA) was applied. The results clearly showed that this metabolites subset allowed the distinction between these microorganisms. In order to validate the PLS-DA model, permutation test was applied, and a statistically significant model for 44 metabolites was obtained with a predictive Q2 capability of 0.70 for A. niger. When the subset of compounds were reduced to 16 (obtained by Variables Importance in Projection (VIP) parameter), the obtained model had a predictive Q2 capability of 0.86 for A. niger, which was significantly higher, being more robust than the previous. The decrease of 44 to 16 metabolites, reduced the require analysis time and the conditions used were similar to the conditions used in clinical context, (solid medium, at 25 °C and ca. 1 week). However, in this study was possible to reduce the time for 3 days. In conclusion, these 44 volatile molecular biomarkers could be useful for diagnosis of fungal infections, and they can even be further exploited in clinical context.
As infeções fúngicas têm aumentado bastante em populações de risco, nomeadamente em pacientes imunocomprometidos, provavelmente devido a atrasos no diagnóstico das infeções fúngicas. A metabolómica microbiana surge como um poderoso recurso de triagem dos metabolitos produzidos por microrganismos. Esta fornece informações sobre o estado de organismos biológicos, que podem ser usados como uma ferramenta de diagnóstico para infeções fúngicas através de um padrão de metabolitos fúngicos. Assim, este trabalho teve como objetivo estudar em profundidade o exometaboloma de Aspergillus niger, a fim de estabelecer um padrão metobolómico alvo que caracterize o A. niger. Foi usada uma metodologia baseada em microextração em fase sólida no espaço de cabeça combinada com cromatografia de gás bidimensional abrangente acoplada a espectrometria de massa por tempo de voo (HS-SPME / GC×GC-ToFMS). O exometaboloma de A. niger foi analisado em diferentes condições de crescimento: temperatura (25 e 37 °C), tempo de incubação (3 e 5 dias) e meio de cultura (meio sólido e líquido). O exometaboloma do A. niger incluiu 430 metabolitos, distribuídos em várias famílias químicas, sendo os mais importantes os álcoois, aldeídos, ésteres, cetonas, hidrocarbonetos e terpenos. Observaram-se diferenças entre os metabolitos voláteis produzidos em diferentes condições de crescimento, sendo a maior abundância relativa determinada para os 5 dias de crescimento, a 25 °C, utilizando meio sólido. Estes resultados indicaram a alta complexidade do exometaboloma do A. niger. Um subconjunto de 44 metabolitos, que estavam presentes em todas as condições de crescimento testadas, foi definido como um padrão metabolómico alvo para o A. niger. Este padrão pode ser usado na deteção de infeções fúngicas por esta espécie e ser futuramente explorado para diagnóstico de infeções fúngicas. Além disso, este subconjunto de metabolitos foi comparado com amostras de Candida albicans (levedura) e Penicillium chrysogenum (fungo filamentoso), e a análise discriminante com método dos mínimos quadrados parciais (PLS-DA) foi aplicada. Os resultados mostraram claramente que este subconjunto de metabolitos permitiu distinguir estes microrganismos. Para validar o modelo do PLS-DA, o teste das permutações foi aplicado, e um modelo estatísticamente significante para os 44 metabolitos foi obtido com uma capacidade preditiva Q2 de 0.70 para o A. niger. Quando o subconjunto de compostos foi reduzido para 16 (obtidos pelo parâmetro Importância da Variável na Projeção (VIP)), o modelo obtido teve uma capacidade preditiva Q2 de 0.86 para o A. niger, que foi significantemente superior, sendo mais robusto que o anterior. A diminuição de 44 para 16 metabolitos, reduziu o tempo de análise necessário e as condições utilizadas foram semelhantes às condições utilizadas em contexto clínico, (meio sólido e 25 °C e aproximadamente 1 semana). No entanto, neste estudo, foi possível reduzir o tempo para 3 dias. Em conclusão, estes 44 biomarcadores moleculares voláteis poderão ser úteis para o diagnóstico de infeções fúngicas, e podem ser explorados em contexto clínico.
Ahmed, Iftikhar. "Diagnostic potential of volatile organic compounds as faecal biomarkers in inflammatory bowel disease." Thesis, University of Bristol, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555660.
Full textTurner, Matthew A. "Boundaries in volatile organic compounds in human breath." Thesis, Loughborough University, 2016. https://dspace.lboro.ac.uk/2134/20274.
Full textJayasena, Demuni Hiruni. "Diagnostic potential of volatile organic compounds and lactoferrin as biomarkers in inflammatory bowel disease." Thesis, University of Bristol, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617931.
Full textSchmidt, K. "In vitro analysis of volatile organic compounds in search of potential biomarkers of lung cancer." Thesis, University of Salford, 2016. http://usir.salford.ac.uk/40237/.
Full textChippendale, Thomas W. E. "Volatile biomarkers emitted by cell cultures : headspace analysis using selected ion flow tube mass spectrometry, SIFT-MS." Thesis, Keele University, 2012. http://eprints.keele.ac.uk/3724/.
Full textColόn, Crespo Lauren J. "Determination of Human Scent Biomarkers for Race, Ethnicity and Gender." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2442.
Full textBooks on the topic "Volatile Biomarkers"
Haick, Hossam, ed. Volatile Biomarkers for Human Health. Cambridge: Royal Society of Chemistry, 2022. http://dx.doi.org/10.1039/9781839166990.
Full textVolatile Biomarkers. Elsevier, 2013. http://dx.doi.org/10.1016/c2012-0-01274-4.
Full textDavid, Smith, and Anton Amann. Volatile Biomarkers: Non-Invasive Diagnosis in Physiology and Medicine. Elsevier, 2013.
Find full textDavis, Cristina, and Jonathan Beauchamp. Volatile Biomarkers: Non-Invasive Diagnosis in Physiology and Medicine. Elsevier, 2013.
Find full textHaick, Hossam. Volatile Biomarkers for Human Health: From Nature to Artificial Senses. Royal Society of Chemistry, The, 2022.
Find full textDrabińska, Natalia, and Ben de Lacy Costello, eds. Recent Advances in Volatile Organic Compound Analysis as Diagnostic Biomarkers. MDPI, 2022. http://dx.doi.org/10.3390/books978-3-0365-5349-8.
Full textHaick, Hossam. Volatile Biomarkers for Human Health: From Nature to Artificial Senses. Royal Society of Chemistry, The, 2022.
Find full textHaick, Hossam. Volatile Biomarkers for Human Health: From Nature to Artificial Senses. Royal Society of Chemistry, The, 2022.
Find full textDavis, Cristina, Jonathan Beauchamp, and Joachim Pleil. Breathborne Biomarkers and the Human Volatilome. Elsevier, 2020.
Find full textDavis, Cristina, Jonathan Beauchamp, and Joachim Pleil. Breathborne Biomarkers and the Human Volatilome. Elsevier, 2020.
Find full textBook chapters on the topic "Volatile Biomarkers"
Mochalski, P., C. A. Mayhew, D. Slefarska, and K. Unterkofler. "Chapter 3. Blood VOC Biomarkers." In Volatile Biomarkers for Human Health, 39–60. Cambridge: Royal Society of Chemistry, 2022. http://dx.doi.org/10.1039/9781839166990-00039.
Full textHaick, Hossam. "Chapter 25. Volatile Biomarkers in Clinical Decision Support Systems." In Volatile Biomarkers for Human Health, 472–81. Cambridge: Royal Society of Chemistry, 2022. http://dx.doi.org/10.1039/9781839166990-00472.
Full textRodriguez-Esquivel, Miriam, Alejandra Flores-Valdivia, Emmanuel Salcedo, María de Jesús Nambo-Lucio, and Mauricio Salcedo. "Chapter 8. Origin and Emission of Volatile Biomarkers from Genital Fluid." In Volatile Biomarkers for Human Health, 134–51. Cambridge: Royal Society of Chemistry, 2022. http://dx.doi.org/10.1039/9781839166990-00134.
Full textMarco, Santiago. "Chapter 24. Machine Learning and Artificial Intelligence." In Volatile Biomarkers for Human Health, 454–71. Cambridge: Royal Society of Chemistry, 2022. http://dx.doi.org/10.1039/9781839166990-00454.
Full textTaunk, Khushman, Bhargab Kalita, Anup Tamhankar, Tufan Naiya, and Srikanth Rapole. "Chapter 5. Origin and Emission of Volatile Biomarkers from Urine." In Volatile Biomarkers for Human Health, 87–99. Cambridge: Royal Society of Chemistry, 2022. http://dx.doi.org/10.1039/9781839166990-00087.
Full textSlater, R., O. Farrow, M. George, and C. S. Probert. "Chapter 4. Origin and Emission of Volatile Biomarkers from Feces." In Volatile Biomarkers for Human Health, 61–86. Cambridge: Royal Society of Chemistry, 2022. http://dx.doi.org/10.1039/9781839166990-00061.
Full textAbe, Owen O., Fateh Mikaeili, Lisheng Wang, and Pelagia-Irene Gouma. "Chapter 18. Selective Sensors for Volatile Biomarkers." In Volatile Biomarkers for Human Health, 347–63. Cambridge: Royal Society of Chemistry, 2022. http://dx.doi.org/10.1039/9781839166990-00347.
Full textKing, J., P. Mochalski, C. A. Mayhew, and K. Unterkofler. "Chapter 12. Interplay Between Volatile Biomarkers and Body Fluids." In Volatile Biomarkers for Human Health, 197–218. Cambridge: Royal Society of Chemistry, 2022. http://dx.doi.org/10.1039/9781839166990-00197.
Full textVishinkin, Rotem, and Hossam Haick. "Chapter 7. Origin and Emission of Volatile Biomarkers in Skin." In Volatile Biomarkers for Human Health, 120–33. Cambridge: Royal Society of Chemistry, 2022. http://dx.doi.org/10.1039/9781839166990-00120.
Full textBroza, Yoav Y. "Chapter 14. Engineering Volatile Biomarkers for Disease Detection." In Volatile Biomarkers for Human Health, 232–46. Cambridge: Royal Society of Chemistry, 2022. http://dx.doi.org/10.1039/9781839166990-00232.
Full textConference papers on the topic "Volatile Biomarkers"
Kallingal, Nithusha, Kishor Kumar Sadasivuni, Issam Bahadur, Huseyin Cagatay Yalcin, Asiya Al-Busaidi, Hassen M. Ouakad, and Somaya Al-Maadeed. "Colorimetry-based Detection of Exhaled Breath Biomarkers for Predicting Heart Failure." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2021. http://dx.doi.org/10.29117/quarfe.2021.0077.
Full textHaick, H., and Perena Gouma. "A Nanosensor Array for Detecting Volatile Biomarkers of Cancer." In OLFACTION AND ELECTRONIC NOSE: PROCEEDINGS OF THE 14TH INTERNATIONAL SYMPOSIUM ON OLFACTION AND ELECTRONIC NOSE. AIP, 2011. http://dx.doi.org/10.1063/1.3626289.
Full textIbrahim, Baharudin, Maria Basanta, Rachel Dockry, Ruth Tal-Singer, David Douce, Ashley A. Woodcock, Dave Singh, and Stephen J. Fowler. "Exhaled Volatile Organic Compounds As Potential Biomarkers In Chronic Obstructive Pulmonary Disease." In American Thoracic Society 2010 International Conference, May 14-19, 2010 • New Orleans. American Thoracic Society, 2010. http://dx.doi.org/10.1164/ajrccm-conference.2010.181.1_meetingabstracts.a1012.
Full textChoden, Phuntsho, Thara Seesaard, Tanthip Eamsa-ard, Chutintorn Sriphrapradang, and Teerakiat Kerdcharoen. "Volatile urine biomarkers detection in type II diabetes towards use as smart healthcare application." In 2017 9th International Conference on Knowledge and Smart Technology (KST). IEEE, 2017. http://dx.doi.org/10.1109/kst.2017.7886086.
Full textWidlak, Monika, Matthew Neal, Emma Daulton, Claire Thomas, Claudia Tomkins, Baljit Singh, Chris Harmston, et al. "PTU-071 Risk stratification of symptomatic patients using faecal biomarkers and urinary volatile organic compounds." In British Society of Gastroenterology, Annual General Meeting, 4–7 June 2018, Abstracts. BMJ Publishing Group Ltd and British Society of Gastroenterology, 2018. http://dx.doi.org/10.1136/gutjnl-2018-bsgabstracts.412.
Full textYu, Jin, Di Wang, Le Wang, Ping Wang, Yanjie Hu, Kejing Ying, Matteo Pardo, and Giorgio Sberveglieri. "Detection of Lung Cancer with Volatile Organic Biomarkers in Exhaled Breath and Lung Cancer Cells." In OLFACTION AND ELECTRONIC NOSE: Proceedings of the 13th International Symposium on Olfaction and Electronic Nose. AIP, 2009. http://dx.doi.org/10.1063/1.3156506.
Full textHaick, H., O. Barash, M. Hakim, U. Tisch, Radu Ionescu, Paul A. Bunn, Jane Mattei, et al. "7.1.1 Invited: Chemical Nanoarrays for Early Detection and Screening of Lung Cancer via Volatile Biomarkers." In 14th International Meeting on Chemical Sensors - IMCS 2012. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2012. http://dx.doi.org/10.5162/imcs2012/7.1.1.
Full textAssad, Ossama, and Hossam Haick. "Chemically sensitive Field Effect Transistors of oxide-free silicon nanowires - towards detection of volatile biomarkers of cancer." In 2008 IEEE International Symposium on Industrial Electronics (ISIE 2008). IEEE, 2008. http://dx.doi.org/10.1109/isie.2008.4676961.
Full textGraff, S., D. Zanella, P. H. Stefanuto, K. Bessonov, M. Henket, V. Paulus, F. Guissard, et al. "Lung Function (FEV1) Decline and Volatile Organic Compounds (VOCs). Are VOCs Good Biomarkers for Lung Function Decline?" In American Thoracic Society 2020 International Conference, May 15-20, 2020 - Philadelphia, PA. American Thoracic Society, 2020. http://dx.doi.org/10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a1313.
Full textKim, Younghwan, Jason Young, David C. Robinson, Greg Jones, Mano Misra, and Swomitra K. Mohanty. "Titanium dioxide nanotube based sensing platform for detection of mycobacterium tuberculosis volatile biomarkers methyl nicotinate and p-anisate." In 2015 2nd International Symposium on Physics and Technology of Sensors (ISPTS). IEEE, 2015. http://dx.doi.org/10.1109/ispts.2015.7220138.
Full textReports on the topic "Volatile Biomarkers"
Frank, Matthias. Elucidating algal-bacterial community interactions by tracking volatile biomarkers (Final Report). Office of Scientific and Technical Information (OSTI), April 2020. http://dx.doi.org/10.2172/1617565.
Full textGrigsby, Claude C., Ryan M. Kramer, Michael A. Zmuda, Derek W. Boone, Tyler C. Highlander, and Mateen M. Rizki. Differential Profiling of Volatile Organic Compound Biomarker Signatures Utilizing a Logical Statistical Filter-Set and Novel Hybrid Evolutionary Classifiers. Fort Belvoir, VA: Defense Technical Information Center, April 2012. http://dx.doi.org/10.21236/ada562341.
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