Academic literature on the topic 'Mass spectrometry metabolomic'
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Journal articles on the topic "Mass spectrometry metabolomic"
Tsuchida, Sachio, and Tomohiro Nakayama. "Metabolomics Research in Periodontal Disease by Mass Spectrometry." Molecules 27, no. 9 (April 30, 2022): 2864. http://dx.doi.org/10.3390/molecules27092864.
Full textFurina, R. R., N. N. Mitrakova, V. L. Ryzhkov, and I. K. Safiullin. "Metabolomic research in medicine." Kazan medical journal 95, no. 1 (February 15, 2014): 1–6. http://dx.doi.org/10.17816/kmj1445.
Full textLokhov, Petr G., Oxana P. Trifonova, Dmitry L. Maslov, and Elena E. Balashova. "In Situ Mass Spectrometry Diagnostics of Impaired Glucose Tolerance Using Label-Free Metabolomic Signature." Diagnostics 10, no. 12 (December 5, 2020): 1052. http://dx.doi.org/10.3390/diagnostics10121052.
Full textPatel, Manish, Sonika Pandey, Manoj Kumar, Md Haque, Sikander Pal, and Narendra Yadav. "Plants Metabolome Study: Emerging Tools and Techniques." Plants 10, no. 11 (November 8, 2021): 2409. http://dx.doi.org/10.3390/plants10112409.
Full textSzczerbinski, Lukasz, Gladys Wojciechowska, Adam Olichwier, Mark A. Taylor, Urszula Puchta, Paulina Konopka, Adam Paszko, et al. "Untargeted Metabolomics Analysis of the Serum Metabolic Signature of Childhood Obesity." Nutrients 14, no. 1 (January 4, 2022): 214. http://dx.doi.org/10.3390/nu14010214.
Full textDeutsch, Jessica M., Madison O. Green, Priyanka Akavaram, Ashleigh C. Davis, Sarth S. Diskalkar, Isabelle A. Du Plessis, Hannah A. Fallon, et al. "Limited Metabolomic Overlap between Commensal Bacteria and Marine Sponge Holobionts Revealed by Large Scale Culturing and Mass Spectrometry-Based Metabolomics: An Undergraduate Laboratory Pedagogical Effort at Georgia Tech." Marine Drugs 21, no. 1 (January 14, 2023): 53. http://dx.doi.org/10.3390/md21010053.
Full textGil-de-la-Fuente, Alberto, Maricruz Mamani-Huanca, María C. Stroe, Sergio Saugar, Alejandra Garcia-Alvarez, Axel A. Brakhage, Coral Barbas, and Abraham Otero. "Aspergillus Metabolome Database for Mass Spectrometry Metabolomics." Journal of Fungi 7, no. 5 (May 15, 2021): 387. http://dx.doi.org/10.3390/jof7050387.
Full textLains, Ines, Kevin M. Mendez, João Q. Gil, John B. Miller, Rachel S. Kelly, Patrícia Barreto, Ivana K. Kim, et al. "Urinary Mass Spectrometry Profiles in Age-Related Macular Degeneration." Journal of Clinical Medicine 11, no. 4 (February 11, 2022): 940. http://dx.doi.org/10.3390/jcm11040940.
Full textFukushima, Atsushi, Mikiko Takahashi, Hideki Nagasaki, Yusuke Aono, Makoto Kobayashi, Miyako Kusano, Kazuki Saito, Norio Kobayashi, and Masanori Arita. "Development of RIKEN Plant Metabolome MetaDatabase." Plant and Cell Physiology 63, no. 3 (December 17, 2021): 433–40. http://dx.doi.org/10.1093/pcp/pcab173.
Full textGamache, Paul H., David F. Meyer, Michael C. Granger, and Ian N. Acworth. "Metabolomic applications of electrochemistry/Mass spectrometry." Journal of the American Society for Mass Spectrometry 15, no. 12 (December 2004): 1717–26. http://dx.doi.org/10.1016/j.jasms.2004.08.016.
Full textDissertations / Theses on the topic "Mass spectrometry metabolomic"
Yang, Zhiyi. "Mass spectrometry-based metabolomic and lipidomic characterization of esophageal cancer and lung cancer." HKBU Institutional Repository, 2020. https://repository.hkbu.edu.hk/etd_oa/819.
Full textOrlowsky, Andrea. "Development of an ambient ionisation mass spectrometry method for metabolomic analysis of blood microsamples." Thesis, Orlowsky, Andrea (2021) Development of an ambient ionisation mass spectrometry method for metabolomic analysis of blood microsamples. Masters by Research thesis, Murdoch University, 2021. https://researchrepository.murdoch.edu.au/id/eprint/63786/.
Full textDelabrière, Alexis. "New approaches for processing and annotations of high-throughput metabolomic data obtained by mass spectrometry." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS359/document.
Full textMetabolomics is a phenotyping approach with promising prospects for the diagnosis and monitoring of several diseases. The most widely used observation technique in metabolomics is mass spectrometry (MS). Recent technological developments have significantly increased the size and complexity of data. This thesis focused on two bottlenecks in the processing of these data, the extraction of peaks from raw data and the annotation of MS/MS spectra. The first part of the thesis focused on the development of a new peak detection algorithm for Flow Injection Analysis (FIA) data, a high-throughput metabolomics technique. A model derived from the physics of the mass spectrometer taking into account the saturation of the instrument has been proposed. This model includes a peak common to all metabolites and a specific saturation phenomenon for each ion. This model has made it possible to create a workflow that estimates the common peak on well-behaved signals, then uses it to perform matched filtration on all signals. Its effectiveness on real data has been studied and it has been shown that proFIA is superior to existing algorithms, has good reproducibility and is very close to manual measurements made by an expert on several types of devices. The second part of this thesis focused on the development of a tool for detecting the structural similarities of a set of fragmentation spectra. To do this, a new graphical representation has been proposed, which does not require the metabolite formula. The graphs are also a natural representation of MS/MS spectra. Some properties of these graphs have then made it possible to create an efficient algorithm for detecting frequent subgraphs (FSM) based on the generation of trees covering graphs. This tool has been tested on two different data sets and has proven its speed and interpretability compared to state-of-the-art algorithms. These two algorithms have been implemented in R, proFIA and mineMS2 packages available to the community
Cardoso, Patrícia [UNESP]. "Metabolomic evaluation of interactions in rhizosphere between Senna spectabilis and associated microorganisms." Universidade Estadual Paulista (UNESP), 2015. http://hdl.handle.net/11449/135954.
Full textSenna spectabilis é uma planta medicinal detentora de inumeras aplicações terapêuticas tradicionais. Como uma fonte rica de metabólitos com atividades biológicas a rizosfera de S. spectabilis foi o objeto de estudo neste trabalho. O conhecimento da população da microbiota da rizosfera contribuiu para a compreensão das interações que poderiam ocorrer nessa região dinâmica e rica do solo. Um número de métodos moleculares têm sido desenvolvidos nos últimos anos para o estudo da comunidade microbiana utilizando PCR no sequenciamento das regiões de rRNA 16S e ITS. Os objetivos deste estudo foram identificar a população microbiana da rizosfera de mudas de S. spectabilis e em sequência selecionar algumas linhagens e submetê-las a cultivos mistos em meio sólido. A identificação foi conseguida através do 454-pyrosequenciamento das raízes e sequenciamento por iluminaseq das soluções nutritivas em que as plantas foram cultivadas. Os resultados mostraram uma população rica e variada de bactérias e fungos, com destaque aos filos Verrucomicrobia, Proteobacterias, Firmicutes para as bactérias e para os fungos os filos Basidiomycota e Ascomycota. Espécies selecionadas de fungos foram cultivados em meio Czapek-dox líquido e uma análise do perfil metabólico foi conduzido utilizando HPLC-DAD e HPLC-DAD/MS. Entre os metabólitos detectados nessa pré-avaliação estão os derivados policetidicos produzidos por Fusarium: zearalenonas, conhecidas micotoxinas produzidas por uma grande quantidade de espécies deste gênero. Estes resultados induziram a seleção de cinco fungos de Fusarium, Paecilomyces e uma espécie de bactéria, Burkholderia sp para o cultivo misto em meio de agar sólido. O objetivo foi detectar mudanças na produção metabólica e analisar as alterações esperadas por RMN de 1H associados aos métodos quimiométricos de análise PCA e PLS e tambem por LC/MS. Uma série de...
Senna spectabilis is a medicinal plant with innumeral traditional therapeutic applications. As a source of rich metabolites with biological activities S. spectabilis' rhizosphere was the object of study in this work. The knowledge of the population of the microbiota of the rhizosphere contributes to the understanding of the interactions that may occur in this dynamic and rich region of the soil. A number of molecular methods have been developed in recent years to study the microbial community using PCR associated in the sequencing of 16S and ITS regions of rRNA. The objectives of this study were to identify the microbial population of rhizosphere seedlings of S. spectabilis and in sequence to select a few strains and submit them to co-cultures in a solid medium. Identification was achieved with 454- pyrosequencing of roots and iluminaseq sequencing of the hydroponic solutions, in which the seedlings were cultivated. Results showed a rich and varied population of bacteria and fungi notably the bacteria phyla Verrucromiobia, Proteobacteria, Firmicutes and for the fungi the phyla Basidiomycota and Ascomycota. Selected species of fungi were cultivated in liquid Czapek-dox medium and a screening of the metabolic profile was conducted using HPLC-DAD and HPLC-DAD/MS. Among the metabolites detected in this previous evaluation are the polyketides derivates produced by Fusarium: zearalenones known as mycotoxins produced by many species of this genus. These results have induced to the selection of five fungi from Fusarium, Paecilomyces and one specie of bacteria, Burkholderia sp for mix cultivation in agar solid medium. The aim was to detect changes in the metabolic production and analyse the expected alterations by 1H NMR associated with chemometric method PCA and PLS and LC/MS. A series of enniatin could be detected by LC/MS indicating that co-culturing induced the modifications in the...
Cardoso, Patrícia. "Metabolomic evaluation of interactions in rhizosphere between Senna spectabilis and associated microorganisms /." Araraquara, 2015. http://hdl.handle.net/11449/135954.
Full textBanca: Luis Vitor Silva do Sacramento
Banca: Cíntia Duarte de Freitas Milagre
Banca: Mônica Tallarico Pupo
Banca: Christopher Scott Jeffrey
Resumo: Senna spectabilis é uma planta medicinal detentora de inumeras aplicações terapêuticas tradicionais. Como uma fonte rica de metabólitos com atividades biológicas a rizosfera de S. spectabilis foi o objeto de estudo neste trabalho. O conhecimento da população da microbiota da rizosfera contribuiu para a compreensão das interações que poderiam ocorrer nessa região dinâmica e rica do solo. Um número de métodos moleculares têm sido desenvolvidos nos últimos anos para o estudo da comunidade microbiana utilizando PCR no sequenciamento das regiões de rRNA 16S e ITS. Os objetivos deste estudo foram identificar a população microbiana da rizosfera de mudas de S. spectabilis e em sequência selecionar algumas linhagens e submetê-las a cultivos mistos em meio sólido. A identificação foi conseguida através do 454-pyrosequenciamento das raízes e sequenciamento por iluminaseq das soluções nutritivas em que as plantas foram cultivadas. Os resultados mostraram uma população rica e variada de bactérias e fungos, com destaque aos filos Verrucomicrobia, Proteobacterias, Firmicutes para as bactérias e para os fungos os filos Basidiomycota e Ascomycota. Espécies selecionadas de fungos foram cultivados em meio Czapek-dox líquido e uma análise do perfil metabólico foi conduzido utilizando HPLC-DAD e HPLC-DAD/MS. Entre os metabólitos detectados nessa pré-avaliação estão os derivados policetidicos produzidos por Fusarium: zearalenonas, conhecidas micotoxinas produzidas por uma grande quantidade de espécies deste gênero. Estes resultados induziram a seleção de cinco fungos de Fusarium, Paecilomyces e uma espécie de bactéria, Burkholderia sp para o cultivo misto em meio de agar sólido. O objetivo foi detectar mudanças na produção metabólica e analisar as alterações esperadas por RMN de 1H associados aos métodos quimiométricos de análise PCA e PLS e tambem por LC/MS. Uma série de...
Abstract: Senna spectabilis is a medicinal plant with innumeral traditional therapeutic applications. As a source of rich metabolites with biological activities S. spectabilis' rhizosphere was the object of study in this work. The knowledge of the population of the microbiota of the rhizosphere contributes to the understanding of the interactions that may occur in this dynamic and rich region of the soil. A number of molecular methods have been developed in recent years to study the microbial community using PCR associated in the sequencing of 16S and ITS regions of rRNA. The objectives of this study were to identify the microbial population of rhizosphere seedlings of S. spectabilis and in sequence to select a few strains and submit them to co-cultures in a solid medium. Identification was achieved with 454- pyrosequencing of roots and iluminaseq sequencing of the hydroponic solutions, in which the seedlings were cultivated. Results showed a rich and varied population of bacteria and fungi notably the bacteria phyla Verrucromiobia, Proteobacteria, Firmicutes and for the fungi the phyla Basidiomycota and Ascomycota. Selected species of fungi were cultivated in liquid Czapek-dox medium and a screening of the metabolic profile was conducted using HPLC-DAD and HPLC-DAD/MS. Among the metabolites detected in this previous evaluation are the polyketides derivates produced by Fusarium: zearalenones known as mycotoxins produced by many species of this genus. These results have induced to the selection of five fungi from Fusarium, Paecilomyces and one specie of bacteria, Burkholderia sp for mix cultivation in agar solid medium. The aim was to detect changes in the metabolic production and analyse the expected alterations by 1H NMR associated with chemometric method PCA and PLS and LC/MS. A series of enniatin could be detected by LC/MS indicating that co-culturing induced the modifications in the...
Doutor
Childs, Stephen Andrew. "Liquid chromatography and mass spectrometry based metabolomic investigations of sulphur containing metabolites in human prostate cancer." Thesis, University of Sunderland, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.702720.
Full textVallabhaneni, Prashanthi. "Metabolomic approaches to understanding the auxin and ethylene response in Arabidopsis roots." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/76838.
Full textMaster of Science
Marsol, i. Vall Alexis. "Gas chromatography-mass spectrometry for the analysis of metabolomic compounds in agrifood products. New methods and applications." Doctoral thesis, Universitat de Lleida, 2017. http://hdl.handle.net/10803/403491.
Full textThis Doctoral Thesis focuses on the development of novel gas chromatography coupled to mass spectrometry (GC-MS) techniques and the application of some existing methods to the analysis of fruit and fruit-derived samples. The thesis is divided in three parts attending the approaches studied. Initially, a comprehensive two-dimensional gas chromatography (GC×GC-MS) method was developed by testing several column configurations to analyse apples and peaches. In the second part of the Thesis, three new methods based on injection-port derivatization were developed. The first consisted on a targeted analysis of 17 glycosylated and non-glycosylated polyphenols in fruit and fruit juice samples. The second method was devoted to the analysis of HMF and patulin, two compounds used as markers of quality in the fruit juice industry. The last method developed in this part was focused on the free lipophilic fraction of fruit juices. In this case, a dispersive liquid-liquid microextraction (DLLME) preceded in-port derivatization. The third part was devoted to the analysis of volatile and semi-volatile compounds in several fruit-derived products, namely fruit fibres deriving from the juice industry and four samples of peach juices consisting in two varieties (yellow and red-fleshed) and two distinct processing procedures for each variety (freshly blended and commercial).
Esta Tesis Doctoral se centra en el desarrollo de nuevos métodos de cromatografía de gases acoplada a técnicas de espectrometría de masas (GC-MS) y a la aplicación de algunos métodos existentes al análisis de muestras de frutas y derivados. La tesis se divide en tres partes según los enfoques estudiados. Inicialmente, se desarrolló un método de cromatografía de gases bidimensional comprensiva (GC×GC-MS) en la que se probaron varias configuraciones de columnas. En la segunda parte de la Tesis, se desarrollaron tres nuevos métodos basados en la derivatización en el puerto de inyección. La primera consistió en un análisis selectivo de 17 polifenoles glicosilados y no glicosilados en muestras de fruta y zumo de fruta. El segundo método se dedicó al análisis de HMF y patulina, dos compuestos utilizados como marcadores de calidad en la industria del zumo de frutas. El último método desarrollado en esta parte se centró en la fracción lipofílica libre de zumos de fruta. En este caso, una microextracción líquido-líquido dispersiva (DLLME) precedió a la derivatización en el puerto. La tercera parte se dedicó al análisis de los compuestos volátiles y semi-volátiles de varios derivados de la fruta, a saber, fibras de fruta derivadas de la industria de los zumos y cuatro muestras de zumos de melocotón consistentes en dos variedades (amarillo y rojo) y dos procedimientos de elaboración para cada variedad (recién licuado y comercial).
Alonezi, Sanad M. Z. "Metabolomic profiling of the effects of melittin and cisplatin on ovarian cancer cells using high resolution mass spectrometry." Thesis, University of Strathclyde, 2017. http://digitool.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=28650.
Full textDenbigh, Joanna. "Lipidomic and metabolomic analysis of biological response mechanisms in cancer cells : a multidisciplinary approach." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/lipidomic-and-metabolomic-analysis-of-biological-response-mechanisms-in-cancer-cells-a-multidisciplinary-approach(a1f04b8e-0f79-497a-9928-18a59a8e9cb0).html.
Full textBooks on the topic "Mass spectrometry metabolomic"
González-Domínguez, Raúl, ed. Mass Spectrometry for Metabolomics. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-2699-3.
Full textRaftery, Daniel, ed. Mass Spectrometry in Metabolomics. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1258-2.
Full textRamautar, Rawi, ed. Capillary Electrophoresis–Mass Spectrometry for Metabolomics. Cambridge: Royal Society of Chemistry, 2018. http://dx.doi.org/10.1039/9781788012737.
Full textLutz, Norbert, Jonathan V. Sweedler, and Ron Wevers. Methodologies for metabolomics: Experimental strategies and techniques. Cambridge: Cambridge University Press, 2012.
Find full textRaftery, Daniel. Mass spectrometry in metabolomics: Methods and protocols. New York: Humana Press, 2014.
Find full textDatta, Susmita, and Bart J. A. Mertens, eds. Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-45809-0.
Full textRamautar, Rawi, ed. Advanced Mass Spectrometry-based Analytical Separation Techniques for Probing the Polar Metabolome. Cambridge: Royal Society of Chemistry, 2021. http://dx.doi.org/10.1039/9781839163524.
Full textPutri, Sastia Prama, and Eiichiro Fukusaki. Mass Spectrometry-Based Metabolomics. Taylor & Francis Group, 2015.
Find full textPutri, Sastia Prama, and Eiichiro Fukusaki, eds. Mass Spectrometry-Based Metabolomics. CRC Press, 2016. http://dx.doi.org/10.1201/b17793.
Full textGonzález-Domínguez, Raúl. Mass Spectrometry for Metabolomics. Springer, 2022.
Find full textBook chapters on the topic "Mass spectrometry metabolomic"
Alvarez-Rivera, Gerardo, Alberto Valdés, and Alejandro Cifuentes. "Metabolomic Characterization of the Antiproliferative Activity of Bioactive Compounds from Fruit By-Products Against Colon Cancer Cells." In Mass Spectrometry for Metabolomics, 45–55. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2699-3_5.
Full textChen, Tian-lu, and Rui Dai. "Metabolomic Data Processing Based on Mass Spectrometry Platforms." In Plant Metabolomics, 123–69. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9291-2_6.
Full textFong, Miranda Y., Jonathan McDunn, and Sham S. Kakar. "Metabolomic Profiling of Ovarian Carcinomas Using Mass Spectrometry." In Methods in Molecular Biology, 239–53. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-547-7_18.
Full textJi, Eoon Hye, Jason Lee, and Shen Hu. "Ion Chromatography with Mass Spectrometry for Metabolomic Analysis." In Advances in Experimental Medicine and Biology, 149–59. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-51652-9_10.
Full textGonzález-Domínguez, Raúl, Álvaro González-Domínguez, Ana Sayago, and Ángeles Fernández-Recamales. "Mass Spectrometry-Based Metabolomic Multiplatform for Alzheimer’s Disease Research." In Biomarkers for Alzheimer’s Disease Drug Development, 125–37. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7704-8_8.
Full textGoodenowe, Dayan. "Metabolomic Analysis with Fourier Transform Ion Cyclotron Resonance Mass Spectrometry." In Metabolic Profiling: Its Role in Biomarker Discovery and Gene Function Analysis, 125–39. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0333-0_8.
Full textHenry, Rob, and Teresa Cassel. "Metabolomic Applications of Inductively Coupled Plasma-Mass Spectrometry (ICP-MS)." In Methods in Pharmacology and Toxicology, 99–125. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-618-0_5.
Full textLopes, Aline Soriano, Elisa Castañeda Santa Cruz, Alessandra Sussulini, and Aline Klassen. "Metabolomic Strategies Involving Mass Spectrometry Combined with Liquid and Gas Chromatography." In Advances in Experimental Medicine and Biology, 77–98. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47656-8_4.
Full textTian, Xiang, Zhu Zou, and Zhibo Yang. "Extract Metabolomic Information from Mass Spectrometry Images Using Advanced Data Analysis." In Methods in Molecular Biology, 253–72. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-2030-4_18.
Full textDeng, Jingjing, Guoan Zhang, and Thomas A. Neubert. "Metabolomic Analysis of Glioma Cells Using Nanoflow Liquid Chromatography–Tandem Mass Spectrometry." In Methods in Molecular Biology, 125–34. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7659-1_10.
Full textConference papers on the topic "Mass spectrometry metabolomic"
González-Domínguez, Raúl. "Metabolomic fingerprinting of serum samples by direct infusion mass spectrometry." In The 1st International Electronic Conference on Metabolomics. Basel, Switzerland: MDPI, 2016. http://dx.doi.org/10.3390/iecm-1-c001.
Full textHa, Soo Jung, Gordon Showalter, Jenna Rickus, Shanbao Cai, Haiyan Wang, Wei Michael Liu, Jann N. Sarkaria, et al. "Abstract B37: Proteomic and metabolomic analyses of glioblastoma using mass spectrometry." In Abstracts: AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics--Oct 19-23, 2013; Boston, MA. American Association for Cancer Research, 2013. http://dx.doi.org/10.1158/1535-7163.targ-13-b37.
Full textUrizar Catalan, Byron Enrique, Belén Callejón Leblic, Victoria Ignacio Barrios, Eva Vázquez Gandullo, Rocio Baya Arenas, Tamara García Barrera, José Luis Sánchez Ramos, et al. "Metabolomic fingerprinting of serum samples based on direct infusion mass spectrometry for lung cancer diagnosis." In ERS International Congress 2017 abstracts. European Respiratory Society, 2017. http://dx.doi.org/10.1183/1393003.congress-2017.pa2034.
Full textBuko, Alexander, Leo Cheng, Andrew Gustev, and Adam Feldman. "Abstract 3510: The metabolomic profile of urine from prostate cancer patients using capillary electrophoresis mass spectrometry (CEMS)." In Proceedings: AACR Annual Meeting 2020; April 27-28, 2020 and June 22-24, 2020; Philadelphia, PA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.am2020-3510.
Full textHajslova, Jana, Enrico Valli, Klara Navratilova, and Tullia Gallina Toschi. "Metabolic fingerprinting strategies for authentication challenge: EVOO adulterated by soft deodorized olive oil." In 2022 AOCS Annual Meeting & Expo. American Oil Chemists' Society (AOCS), 2022. http://dx.doi.org/10.21748/qepz3229.
Full textDudley, Ed, Robin Tuytten, Filip Lemiere, Eddy E. Esmans, and Russell P. Newton. "The bioanalysis of urinary modified nucleosides by mass spectrometry: their study as potential metabolomic biomarkers of cancer development." In XIVth Symposium on Chemistry of Nucleic Acid Components. Prague: Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic, 2008. http://dx.doi.org/10.1135/css200810229.
Full textUrayama, Shiro, Wei Zou, and Vladimir Tolstikov. "Abstract 1768: Comprehensive mass spectrometry based metabolomic profiling of blood plasma reveals potent discriminatory classifiers of pancreatic cancer." In Proceedings: AACR 101st Annual Meeting 2010‐‐ Apr 17‐21, 2010; Washington, DC. American Association for Cancer Research, 2010. http://dx.doi.org/10.1158/1538-7445.am10-1768.
Full textAhn, JK, J. Hwang, H.-S. Cha, and E.-M. Koh. "FRI0331 Identification and validation of potential metabolomic biomarkers for reliable diagnosis of behcet's disease using gas chromatography with time-of-flight mass spectrometry." In Annual European Congress of Rheumatology, 14–17 June, 2017. BMJ Publishing Group Ltd and European League Against Rheumatism, 2017. http://dx.doi.org/10.1136/annrheumdis-2017-eular.3104.
Full textMcConnell, Yarrow J., Aalim M. Weljie, Karen A. Kopciuk, Elijah Dixon, Francis Sutherland, Nicole Dunse, and Oliver F. Bathe. "Abstract 5104: Serum metabolomic profiles acquired by gas chromatography-mass spectrometry (GC-MS) distinguish patients with pancreatic adenocarcinoma from those with benign pancreatic disease." In Proceedings: AACR 102nd Annual Meeting 2011‐‐ Apr 2‐6, 2011; Orlando, FL. American Association for Cancer Research, 2011. http://dx.doi.org/10.1158/1538-7445.am2011-5104.
Full textRojo Sánchez, A., A. Carmona Marte, M. Santamaría Torres, Y. Díaz Olmos, G. Aroca Martínez, E. Navarro Quiroz, M. Cala Molina, and L. Pacheco Lugo. "PO.1.7 Urinary metabolomic profile of systemic lupus erythematosus and lupus nephritis based on liquid and gas chromatography/mass spectrometry (LC-QTOF-MS and GC-QTOF-MS)." In 13th European Lupus Meeting, Stockholm (October 5–8, 2022). Lupus Foundation of America, 2022. http://dx.doi.org/10.1136/lupus-2022-elm2022.41.
Full textReports on the topic "Mass spectrometry metabolomic"
Vertes, Akos. New approaches for metabolomics by mass spectrometry. Office of Scientific and Technical Information (OSTI), July 2017. http://dx.doi.org/10.2172/1368638.
Full text