Academic literature on the topic 'Chromatography modelling and simulation'
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Journal articles on the topic "Chromatography modelling and simulation":
Zenhäusern, Reto, and David W. T. Rippin. "Modelling and simulation of multicomponent nonlinear chromatography." Computers & Chemical Engineering 22, no. 1-2 (January 1998): 259–81. http://dx.doi.org/10.1016/s0098-1354(96)00364-x.
Irankunda, Rachel, Jairo Andrés Camaño Echavarría, Cédric Paris, Loïc Stefan, Stéphane Desobry, Katalin Selmeczi, Laurence Muhr, and Laetitia Canabady-Rochelle. "Metal-Chelating Peptides Separation Using Immobilized Metal Ion Affinity Chromatography: Experimental Methodology and Simulation." Separations 9, no. 11 (November 14, 2022): 370. http://dx.doi.org/10.3390/separations9110370.
McCoy, M. A., A. I. Liapis, and K. K. Unger. "Applications of mathematical modelling to the simulation of binary perfusion chromatography." Journal of Chromatography A 644, no. 1 (July 1993): 1–9. http://dx.doi.org/10.1016/0021-9673(93)80113-m.
Burrell, Frances M., Phillip E. Warwick, Ian W. Croudace, and W. Stephen Walters. "Development of a numerical simulation method for modelling column breakthrough from extraction chromatography resins." Analyst 146, no. 12 (2021): 4049–65. http://dx.doi.org/10.1039/d0an02251a.
Karlberg, Micael, João Victor de Souza, Lanyu Fan, Arathi Kizhedath, Agnieszka K. Bronowska, and Jarka Glassey. "QSAR Implementation for HIC Retention Time Prediction of mAbs Using Fab Structure: A Comparison between Structural Representations." International Journal of Molecular Sciences 21, no. 21 (October 28, 2020): 8037. http://dx.doi.org/10.3390/ijms21218037.
Zakaria, Philip, Greg W. Dicinoski, Boon Khing Ng, Robert A. Shellie, Melissa Hanna-Brown, and Paul R. Haddad. "Application of retention modelling to the simulation of separation of organic anions in suppressed ion chromatography." Journal of Chromatography A 1216, no. 38 (September 2009): 6600–6610. http://dx.doi.org/10.1016/j.chroma.2009.07.051.
Dünnebier, G., and K. U. Klatt. "Modelling and simulation of nonlinear chromatographic separation processes: a comparison of different modelling approaches." Chemical Engineering Science 55, no. 2 (January 2000): 373–80. http://dx.doi.org/10.1016/s0009-2509(99)00332-2.
Adeyemo, M. A., O. Adeyeye, O. A. Okeniyi, and S. O. Idowu. "Biomembrane Modelling in Planar Chromatographic Determination of Lipophilicity Using Olive and Castor Oils." Nigerian Journal of Pharmaceutical Research 16, no. 2 (January 19, 2021): 97–106. http://dx.doi.org/10.4314/njpr.v16i2.1.
Bourdarias, Christian, Marguerite Gisclon, and Stéphane Junca. "Kinetic formulation of a 2 × 2 hyperbolic system arising in gas chromatography." Kinetic & Related Models 13, no. 5 (2020): 869–88. http://dx.doi.org/10.3934/krm.2020030.
Câmara, Leôncio Diógenes T., and Antônio J. Silva Neto. "Network modeling of chromatography by stochastic phenomena of adsorption, diffusion and convection." Applied Mathematical Modelling 33, no. 5 (May 2009): 2491–501. http://dx.doi.org/10.1016/j.apm.2008.07.013.
Dissertations / Theses on the topic "Chromatography modelling and simulation":
Jadhav, Sanket H. "Modelling and Simulation of Chromatographic Processes for Whey Proteins." Thesis, Curtin University, 2019. http://hdl.handle.net/20.500.11937/76482.
Irankunda, Rachel. "Nickel Chelating Peptides & Chromatography : From Peptides Separation Simulation up to their Antioxidant Activities - related Applications." Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0213.
Metal-Chelating Peptides (MCPs), from protein hydrolysates, present various applications in nutrition, pharmacy, cosmetic etc. Yet, the empirical approach generally used to discover bioactive peptides from hydrolysates is time consuming and expensive due to many steps of fractionation, separation and biological activities evaluation. Thus, this PhD aimed to develop a novel approach for MCPs separation prediction using chromatography modelling and simulation based on the analogy between Immobilized Metal ion Affinity Chromatography (IMAC) and Surface Plasmon Resonance (SPR). For the first time, the SPR-IMAC analogy was experimentally investigated on 22 peptides and 70% of them validated this analogy, since peptides well retained in IMAC were also endowed with a good affinity for Ni2+ in SPR. In the second time, peptides with high affinity for Ni2+ (i.e low dissociation constant KD in SPR and a high retention time in IMAC) were used to study the modelling and simulation of peptide concentration profiles at the column outlet in IMAC. Since knowledge of adsorption isotherms was required to perform simulation, it was necessary to develop a methodology for predicting Langmuir isotherm parameters in IMAC from SPR data. The validity of simulation was evaluated by comparing experimental and simulated retention times that should be close for reliable prediction. Therefore, several approaches were evaluated to determine Langmuir sorption parameters, the most interesting one introduces a correction factor on the maximum adsorption capacity qmax alone, assuming that the affinity of peptides for immobilized Ni2+ did not change depending on the technology used (SPR vs. IMAC), thus affinity constant KA was not modified. Meanwhile, industrial application of MCPs and hydrolysates were studied. First, pea protein hydrolysates were produced by either Alcalase® followed by Flavourzyme® (Alc+Flav≤1kDa) or Protamex® followed by Flavourzyme® (Prot+Flav≤1kDa). SwitchSENSE® technology evidences the presence of Ni2+ chelating peptides and antioxidants tests showed that Prot+Flav≤1kDa has higher radical scavenging and reducing power, related to its higher degree of hydrolysis and small-size peptides quantity. Secondly, pea hydrolysates and MCPs were investigated for their ability to inhibit the lipid oxidation in emulsions. They slowed down lipid oxidation through chelation of prooxidant (metals such as Fe2+) reducing primary and secondary oxidation products responsible of deterioration of lipid containing products. Thus, pea hydrolysates and MCPs could be used as antioxidants in food and cosmetic products, as alternative to chemicals such as EDTA, BHT and TBHQ
El-Sayed, Mayyada. "Selective cation-exchange adsorption of the two major whey proteins." Thesis, University of Cambridge, 2010. https://www.repository.cam.ac.uk/handle/1810/225131.
Kapadi, Ajith Nayak. "Size Exclusion PEGylation Reaction Chromatography Modelling." The University of Waikato, 2006. http://hdl.handle.net/10289/2504.
Andersson, David. "Simulation Testbed for Liquid Chromatography." Thesis, Umeå universitet, Institutionen för fysik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-185024.
Ziebell, Angela Louise. "Modelling lignin depolymerisation using size exclusion chromatography." Swinburne Research Bank, 2008. http://hdl.handle.net/1959.3/35984.
Presented for full assessment for the degree of Doctor of Philosophy, Faculty of Life and Social Sciences, Swinburne University of Technology - 2008. Typescript. Bibliography: p. 222-246.
UMEMURA, TOMONARI, RYO KOMIYAMA, and KAZUHIRO YAMAMOTO. "NUMERICAL SIMULATION ON FLOW IN COLUMN CHROMATOGRAPHY." World Scientific Publishing, 2013. http://hdl.handle.net/2237/20053.
Kurdi, Omar. "Crowd modelling and simulation." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/18669/.
Ipsen, Andreas. "Probabilistic modelling of liquid chromatography time-of-flight mass spectrometry." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/6903.
Scholtzova, Angela. "Scale up and modelling of HPLC." Thesis, University College London (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368109.
Books on the topic "Chromatography modelling and simulation":
Birta, Louis G., and Gilbert Arbez. Modelling and Simulation. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18869-6.
Birta, Louis G., and Gilbert Arbez. Modelling and Simulation. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-2783-3.
IASTED, International Conference: Modelling and Simulation MS'91 (1991 Calgary Canada). Modelling and simulation. Anaheim, CA: ActaPress, 1991.
De La Mota, Idalia Flores, Antoni Guasch, Miguel Mujica Mota, and Miquel Angel Piera. Robust Modelling and Simulation. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53321-6.
Attinger, Sabine, and Petros Koumoutsakos, eds. Multiscale Modelling and Simulation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18756-8.
Neelamkavil, Francis. Computer simulation and modelling. Chichester [Sussex, England]: Wiley, 1987.
Davies, Ruth M. Simulation modelling with Pascal. New York: Prentice Hall, 1989.
M, Cerrolaza, Jugo D, Brebbia C. A, and International Conference on Simulation Modelling in Bioengineering (1st : 1996 : Mérida, Venezuela), eds. Simulation modelling in bioengineering. Southampton, UK: Computational Mechanics Publications, 1996.
Sabine, Attinger, and Koumoutsakos Petros D, eds. Multiscale modelling and simulation. Berlin: Springer, 2004.
Luigi, Preziosi, ed. Cancer modelling and simulation. Boca Raton, Fla: Chapman & Hall/CRC, 2003.
Book chapters on the topic "Chromatography modelling and simulation":
Robinson, Stewart. "Conceptual Modelling." In Simulation, 77–95. London: Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-32803-8_5.
Greasley, Andrew. "Hybrid Modelling." In Simulation Modelling, 350–83. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003124092-28.
Greasley, Andrew. "Hybrid Simulation." In Simulation Modelling, 340–49. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003124092-27.
Greasley, Andrew. "Conceptual Modelling (Abstraction)." In Simulation Modelling, 35–59. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003124092-3.
Greasley, Andrew. "Simul8 Scenario Analysis." In Simulation Modelling, 314–22. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003124092-25.
Greasley, Andrew. "Conceptual Modelling (Descriptive Model)." In Simulation Modelling, 71–86. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003124092-5.
Greasley, Andrew. "Experimentation." In Simulation Modelling, 241–57. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003124092-18.
Greasley, Andrew. "Deriving Theoretical and Empirical Distributions Using Simio." In Simulation Modelling, 93–99. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003124092-7.
Greasley, Andrew. "Arena Scenario Analysis." In Simulation Modelling, 298–305. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003124092-23.
Greasley, Andrew. "Verification and Validation with Simul8." In Simulation Modelling, 238–40. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003124092-17.
Conference papers on the topic "Chromatography modelling and simulation":
Mereu, Federico, Jayangi D. Wagaarachchige, Zulkifli Idris, Klaus-Joachim Jens, and Maths Halstensen. "Response Surface Modelling to Reduce CO2 Capture Solvent Cost by Conversion of OZD to MEA." In 64th International Conference of Scandinavian Simulation Society, SIMS 2023 Västerås, Sweden, September 25-28, 2023. Linköping University Electronic Press, 2023. http://dx.doi.org/10.3384/ecp200003.
Bulbul, Ashrafuzzaman, Kyeongheon Kim, and Hanseup Kim. "Modelling and Evaluation of Bubble Chromatography." In 2019 IEEE 32nd International Conference on Micro Electro Mechanical Systems (MEMS). IEEE, 2019. http://dx.doi.org/10.1109/memsys.2019.8870730.
Hudson, Mary L., Richard Kottenstette, Carolyn M. Matzke, Greg C. Frye-Mason, Kim A. Shollenberger, Doug R. Adkins, and C. Channy Wong. "Design, Testing, and Simulation of Microscale Gas Chromatography Columns." In ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-1244.
Li, Ling, Yuan-wei Jing, and De-cheng Yuan. "Modeling and Simulation of Simulated Moving Bed Chromatography Separation Process." In 2006 International Conference on Machine Learning and Cybernetics. IEEE, 2006. http://dx.doi.org/10.1109/icmlc.2006.258379.
Goodman, C. "Modelling and simulation." In 2nd IEE Residential Course on Railway Electrification Infrastructure Systems. IEE, 2005. http://dx.doi.org/10.1049/ic:20050633.
Goodman, C. "Modelling and simulation." In 3rd IET Professional Development Course on Railway Electrification Infrastructure and Systems. IET, 2007. http://dx.doi.org/10.1049/ic.2007.1655.
Goodman, C. J. "Modelling and simulation." In 4th IET Professional Development Course on Railway Electrification Infrastructure & Systems (REIS). IET, 2009. http://dx.doi.org/10.1049/ic.2009.0004.
Goodman, C. J. "Modelling and simulation." In 5th IET Professional Development Course on Railway Electrification Infrastructure and Systems (REIS 2011). IET, 2011. http://dx.doi.org/10.1049/ic.2011.0176.
Goodman, C. J., and M. Chymera. "Modelling And Simulation." In 6th IET Professional Development Course on Railway Electrification Infrastructure and Systems (REIS 2013). Institution of Engineering and Technology, 2013. http://dx.doi.org/10.1049/ic.2013.0074.
Brinkman, Paul, Anirban Sinha, Ariane Lammers, Job J. M. H. Van Bragt, Levi B. Richards, Yennece W. F. Dagelet, Mahmoud I. A. Ibrahim, et al. "Modelling electronic nose sensor deflections by matching Gas Chromatography-Mass Spectrometry exhaled breath samples." In ERS International Congress 2019 abstracts. European Respiratory Society, 2019. http://dx.doi.org/10.1183/13993003.congress-2019.pa4268.
Reports on the topic "Chromatography modelling and simulation":
Finch, J. A., A. Laplante, J. Leung, D. Laguitton, and L L Sirois. The SPOC manual Chapter 4 modelling and simulation. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1985. http://dx.doi.org/10.4095/305018.
Ortiz, Michael. Three-Dimensional Modelling and Simulation of Ballistic Impact. Fort Belvoir, VA: Defense Technical Information Center, May 2001. http://dx.doi.org/10.21236/ada393714.
Hirsekorn, M., P. P. Delsanto, N. K. Batra, and P. Matic. Modelling and Simulation of Acoustic Wave Propagation in Locally Resonant Sonic Materials. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada525809.
Rabiti, C., A. Epiney, P. Talbot, J. S. Kim, S. Bragg-Sitton, A. Alfonsi, A. Yigitoglu, et al. Status Report on Modelling and Simulation Capabilities for Nuclear-Renewable Hybrid Energy Systems. Office of Scientific and Technical Information (OSTI), September 2017. http://dx.doi.org/10.2172/1408526.
Brydie, Dr James, Dr Alireza Jafari, and Stephanie Trottier. PR-487-143727-R01 Modelling and Simulation of Subsurface Fluid Migration from Small Pipeline Leaks. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), May 2017. http://dx.doi.org/10.55274/r0011025.
Комарова, Олена Володимирівна, and Альберт Армаїсович Азарян. Computer Simulation of Biological Processes at the High School. CEUR Workshop Proceedings (CEUR-WS.org), 2018. http://dx.doi.org/10.31812/123456789/2695.
Комарова, Олена Володимирівна, and Альберт Арамаїсович Азарян. Computer Simulation of Biological Processes at the High School. CEUR-WS.org, 2018. http://dx.doi.org/10.31812/123456789/2656.
Sanz, Asier`. Numerical simulation tools for PVT collectors and systems. IEA SHC Task 60, September 2020. http://dx.doi.org/10.18777/ieashc-task60-2020-0006.
Venturini, Marco. Modelling of e-Cloud Induced Coherent Tuneshifts Using POSINST: Simulation of April 2007 Measurements at Cesr. Office of Scientific and Technical Information (OSTI), May 2009. http://dx.doi.org/10.2172/973941.
Osadetz, K. G., Z. Chen, and H. Gao. SuperSD, Version 1.0: a pool-based stochastic simulation program for modelling the spatial distribution of undiscovered petroleum resources. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2003. http://dx.doi.org/10.4095/214036.