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Artykuły w czasopismach na temat "Nuclear Magnetic Resonance Analysis"

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Shen, Xiangdong, Xiaoxiao Wang, Hailong Wang, Chu Gao, and Tong Zhang. "Nuclear magnetic resonance analysis of freeze-thaw damage in natural pumice concrete." Materiales de Construcción 66, no. 322 (2016): e087. http://dx.doi.org/10.3989/mc.2016.09014.

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Zhang, Yan, Yiqiao Song, Sihui Luo, Tingting Lin, and Huabing Liu. "Core Analysis Using Nuclear Magnetic Resonance." Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description 65, no. 2 (2024): 173–93. http://dx.doi.org/10.30632/pjv65n2-2024a3.

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Core analysis is critical for oil and gas exploration and recovery. Nuclear magnetic resonance (NMR) has been widely applied to the petroleum industry for many years, and NMR core analysis plays an important role in supporting borehole NMR formation evaluation and understanding the mechanisms of petrophysics and petrochemistry. It’s unfortunate, however, that there has been a lack of commented descriptions of the basic procedures for NMR rock core analysis in the literature, which has led to issues of comparability and repeatability of NMR measurements between different laboratories. In this paper, we present a brief guideline for NMR rock core analysis of conventional T2, T1, T1-T2, and D-T2 measurements. As an established procedure in daily laboratory work, NMR core analysis includes three sophisticated steps: rock sample preparation, an NMR experiment, and data analysis. The acquisition and saturation of rock samples are described, and corresponding solutions are also considered. Detailed NMR experimental measurements, data setting, and calibration are addressed. Laplace inversion for different NMR experiments and models for estimation of porosity, irreducible water, permeability, pore structure, and oil saturation are included. The aim of this paper is to try to standardize general NMR experiments for rock core analysis.
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Rösch, P., M. T. Kelemen, E. Dormann, G. Tomka, and P. C. Riedi. "Magnetic structures of GdMn6Ge6- a nuclear magnetic resonance analysis." Journal of Physics: Condensed Matter 12, no. 6 (2000): 1065–84. http://dx.doi.org/10.1088/0953-8984/12/6/324.

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Leyer, S., G. Fischer, E. Dormann, A. Budziak, and H. Figiel. "Magnetic ordering of TbMn2D2- a nuclear magnetic resonance analysis." Journal of Physics: Condensed Matter 13, no. 27 (2001): 6115–21. http://dx.doi.org/10.1088/0953-8984/13/27/305.

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Zupke, Craig, and Brent Foy. "Nuclear magnetic resonance analysis of cell metabolism." Current Opinion in Biotechnology 6, no. 2 (1995): 192–97. http://dx.doi.org/10.1016/0958-1669(95)80031-x.

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Jingwei Lv, Jingwei Lv, Chunnan Li Chunnan Li, Nanxi Zhang Nanxi Zhang, et al. "Metabolomic Profiling of Different Maca Color Types Using Nuclear Magnetic Resonance Spectroscopy and Multivariate Data Analysis." Journal of the chemical society of pakistan 44, no. 4 (2022): 356. http://dx.doi.org/10.52568/001071/jcsp/44.04.2022.

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This study aimed to explore significant differences in chemical composition among maca (Lepidium meyenii Walp.) types with different colors in Yunnan province, China. 1H-NMR spectroscopy, in combination with principal component analysis and partial least squares discriminant analysis, was used to investigate the compounds responsible for compositional differences. Different maca color types in Yunnan were clearly distinguished by 11 differential metabolites. Furthermore, network pharmacology results showed that 30 active components were related to Alzheimer’s disease. Nine intersecting compounds among the 11 differential metabolites and 30 active components, namely, lysine, isoleucine, phenylalanine, β-hydroxybutyrate, tryptophan, pyroglutamate, proline, glutamine, and fructose, were used as bioactive markers to identify different maca color types. The results showed the bioactive markers among different maca color types holistically, providing a scientific basis for assessing the quality of commercial products derived from different maca color types.
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Sultana, Mariam, Uroosa Arshad, Muhammad Khalid, Ali Akgül, Wedad Albalawi, and Heba Y. Zahran. "A New Iterative Predictor-Corrector Algorithm for Solving a System of Nuclear Magnetic Resonance Flow Equations of Fractional Order." Fractal and Fractional 6, no. 2 (2022): 91. http://dx.doi.org/10.3390/fractalfract6020091.

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Nuclear magnetic resonance flow equations, also known as the Bloch system, are said to be at the heart of both magnetic resonance imaging (MRI) and nuclear magnetic resonance (NMR) spectroscopy. The main aim of this research was to solve fractional nuclear magnetic resonance flow equations (FNMRFEs) through a numerical approach that is very easy to handle. We present a New Iterative Predictor-Corrector Algorithm (NIPCA) based on the New Iterative Algorithm and Predictor-Corrector Algorithm to solve nonlinear nuclear magnetic resonance flow equations of fractional order involving Caputo derivatives. Graphical representation of the solutions with detailed error analysis shows the higher accuracy of the new technique. This New Iterative Predictor-Corrector Algorithm requires less computational time than previously published numerical methods. The results achieved in this article indicate that the algorithm is fit to use for other chaotic systems of fractional differential equations.
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van Beek, Jacco D., Marina Carravetta, Gian Carlo Antonioli, and Malcolm H. Levitt. "Spherical tensor analysis of nuclear magnetic resonance signals." Journal of Chemical Physics 122, no. 24 (2005): 244510. http://dx.doi.org/10.1063/1.1943947.

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Campagne, S., V. Gervais, and A. Milon. "Nuclear magnetic resonance analysis of protein–DNA interactions." Journal of The Royal Society Interface 8, no. 61 (2011): 1065–78. http://dx.doi.org/10.1098/rsif.2010.0543.

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Recent methodological and instrumental advances in solution-state nuclear magnetic resonance have opened up the way to investigating challenging problems in structural biology such as large macromolecular complexes. This review focuses on the experimental strategies currently employed to solve structures of protein–DNA complexes and to analyse their dynamics. It highlights how these approaches can help in understanding detailed molecular mechanisms of target recognition.
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Umecky, Tatsuya. "Time-domain nuclear magnetic resonance for serum analysis." Analytical Sciences 40, no. 12 (2024): 2099–100. http://dx.doi.org/10.1007/s44211-024-00679-4.

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Rozprawy doktorskie na temat "Nuclear Magnetic Resonance Analysis"

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Jones, Jonathan A. "Nuclear magnetic resonance data processing methods." Thesis, University of Oxford, 1992. http://ora.ox.ac.uk/objects/uuid:7df97c9a-4e65-4c10-83eb-dfaccfdccefe.

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This thesis describes the application of a wide variety of data processing methods, in particular the Maximum Entropy Method (MEM), to data from Nuclear Magnetic Resonance (NMR) experiments. Chapter 1 provides a brief introduction to NMR and to data processing, which is developed in chapter 2. NMR is described in terms of the classical model due to Bloch, and the principles of conventional (Fourier transform) data processing developed. This is followed by a description of less conventional techniques. The MEM is derived on several grounds, and related to both Bayesian reasoning and Shannon information theory. Chapter 3 describes several methods of evaluating the quality of NMR spectra obtained by a variety of data processing techniques; the simple criterion of spectral appearance is shown to be completely unsatisfactory. A Monte Carlo method is described which allows several different techniques to be compared, and the relative advantages of Fourier transformation and the MEM are assessed. Chapter 4 describes in vivo NMR, particularly the application of the MEM to data from Phase Modulated Rotating Frame Imaging (PMRFI) experiments. In this case the conventional data processing is highly unsatisfactory, and MEM processing results in much clearer spectra. Chapter 5 describes the application of a range of techniques to the estimation and removal of splittings from NMR spectra. The various techniques are discussed using simple examples, and then applied to data from the amino acid iso-leucine. The thesis ends with five appendices which contain historical and philosophical notes, detailed calculations pertaining to PMRFI spectra, and a listing of the MEM computer program.
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Ojo, Catherine A. "Analysis & automatic classification of nuclear magnetic resonance signals." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/4109.

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The human brain consists of a myriad of chemical compounds critical to its functioning. A group of these compounds, collectively known as metabolites, have been a research interest for years because the pathogenesis of neurodegenerative diseases, a tumours classification, the effectiveness of a drug, etc., can be investigated via variations in brain metabolite concentration levels. Nuclear Magnetic Resonance Spectroscopy (NMRS) enables investigators to conduct non-invasive in vivo studies of metabolites in the human brain and the rest of the body. However a number of problems have hindered the usage of NMRS as a clinical diagnostic tool. One is the non-uniqueness of the most widely used analysis methods, i.e. as the parameters and/or prior knowledge data of an analysis method are changed, the results also change. A second problem is the lack of a method that can automatically classify the signal components estimated via signal decomposition based signal analysis methods. Additionally, some of the most widely used analysis methods, by virtue of their algorithms, intrinsically assume the nature of NMRS signals, e.g. stationary, linear, Lorentzian, etc. Hence, this thesis explores a new analysis approach, based on a theoretical and practical understanding of NMRS, that (a) avoids making assumptions about the nature of experimentally acquired NMRS signals, (b) relies on a unique decomposition analysis method, and (c) automatically classifies the estimated peaks of an analysis. Unique decomposition analysis was conducted via the rarely used unique and non-linear signal decomposition method − the Fast Pad´e Transform (FPT). The FPT is compared with the main decomposition based NMRS analysis methods via a detailed mathematical analysis, and a comparative analysis. Automatic classification was conducted via a novel classification method, which is introduced herein, and which is based on quantum mechanical predictions of metabolite NMRS behaviour.
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Duong, Viêt Dung. "Development of numerical approaches for nuclear magnetic resonance data analysis." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEN010/document.

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La résonance magnétique nucléaire (RMN) est devenue une des techniques spectroscopiques les plus puissantes et polyvalentes de la chimie analytique avec des applications multiples dans des différents domaines de la recherche. Cependant, un des inconvénients majeurs de la RMN est le processus fastidieux d'analyse de donnée qui nécessite fréquemment des interventions humaines. Ces dernières font diminuer non seulement l'efficacité et l'objectivité des études mais également renferment les champs d'applications potentielles de la RMN pour les non-initiés. Par conséquent, le développement des méthodes computationnelles non supervisées se trouve nécessaire. Les travaux réalisés ici représentent des nouvelles approches dans le domaine de la métabolomique et de la biologie structurelle. Le défi ultime de la RMN métabolomique est l'identification complète de l'ensemble des molécules constituant les échantillons biologiques complexes. Cette étape est vitale pour toute interprétation biologique. Dans la première partie de cette thèse, une nouvelle méthode numérique a été développée pour analyser des spectres à deux dimensions HSQC et TOCSY afin d'identifier les métabolites. La performance de cette nouvelle méthode a été démontrée avec succès sur les données synthétiques et expérimentales. La RMN est une des principales techniques analytiques de la biologie structurale. Le processus conventionnel de détermination structurelle est bien établie avec souvent une attribution explicite des signaux. Dans la seconde partie de cette thèse, une nouvelle approche computationnelle est présentée. Cette nouvelle méthode permet de déterminer les structures RMN sans attributions explicites des signaux. Ces derniers proviennent de données spectrales tridimensionnelles TOCSY et NOESY. Les structures ont été résolues en appliquant cette nouvelle méthode aux données spectrales d'une protéine de 12kDa<br>Nuclear Magnetic Resonance (NMR) has become one of the most powerful and versatile spectroscopic techniques in analytical chemistry with applications in many disciplines of scientific research. A downside of NMR is however the laborious data analysis workflow that involves many manual interventions. Interactive data analysis impedes not only on efficiency and objectivity, but also keeps many NMR application fields closed for non-experts. Thus, there is a high demand for the development of unsupervised computational methods. This thesis introduces such unattended approaches in the fields of metabonomics and structural biology. A foremost challenge to NMR metabolomics is the identification of all molecules present in complex metabolite mixtures that is vital for the subsequent biological interpretation. In this first part of the thesis, a novel numerical method is proposed for the analysis of two-dimensional HSQC and TOCSY spectra that yields automated metabolite identification. Proof-of principle was successfully obtained by evaluating performance characteristics on synthetic data, and on real-world applications of human urine samples, exhibiting high data complexity. NMR is one of the leading experimental techniques in structural biology. However the conventional process of structure elucidation is quite elaborated. In this second part of the thesis, a novel computational approach is presented to solve the problem of NMR structure determination without explicit resonance assignment based on three-dimensional TOCSY and NOESY spectra. Proof-of principle was successfully obtained by applying the method to an experimental data set of a 12-kilodalton medium- sized protein
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Lloyd, Jones E. M. "Nuclear magnetic resonance studies of chromium and group Vb compounds." Thesis, University of Nottingham, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381095.

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Sitanggang, M. Linda. "Application of proton nuclear magnetic resonance in drug metabolism studies." Thesis, University of Bath, 1988. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.380409.

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Edmunds, Caitlin A. "Solid-State Nuclear Magnetic Resonance Analysis of Cytosine-Methylated DNA Dodecamer." Scholarship @ Claremont, 2013. http://scholarship.claremont.edu/scripps_theses/147.

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The interaction of deoxyribonucleic acid (DNA) and cellular proteins is absolutely central to any biological understanding of DNA replication, transcription, and even gene regulation. Because an incumbent protein latches not onto the four bases but onto the backbone phosphate groups of the nucleic acid, backbone dynamics directly pertain to an understanding of basic cell processes. Studies have unambiguously proven that DNA exists in a balance of two conformations, BI and BII, defined by the difference in their backbone torsion angles. A given DNA sequence expresses a preference for either BI or BII, though both exist in most samples (and are presented as a ratio). Factors affecting that ratio include flanking sequence and methylation. When a DNA sample is methylated, which occurs at a cytosine, backbone dynamics at that site and perhaps even its neighbors are theoretically quenched due to the steric strain of a large attached group. DNA methylation is implicated in cancer diagnosis by new studies focusing on hypermethylation in CpG islands, This thesis uses solid-state deuterium NMR to study the backbone dynamics of the Dickerson dodecamer, [d(CGCGAATTCGCG)]2, which was the first synthetic BII conformer successfully crystallized (allowing for analysis in the solid state) and which contains the EcoRI binding site, GAATTC. This molecule is a good model system because a massive amount of information has been gathered on it not only using NMR, both high-resolution and solid-state, but also using x-ray diffraction, electron paramagnetic resonance, and all-atom molecular dynamics simulation. This thesis research shows the quenching of backbone dynamics due to C9 methylation.
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Sachdev, H. S. "A nuclear magnetic resonance study of orientational ordering in thermotropic liquid crystals." Thesis, University of Southampton, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383860.

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Uh, Jinsoo. "Nuclear magnetic resonance imaging and analysis for determination of porous media properties." Texas A&M University, 2005. http://hdl.handle.net/1969.1/4899.

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Advanced nuclear magnetic resonance (NMR) imaging methodologies have been developed to determine porous media properties associated with fluid flow processes. This dissertation presents the development of NMR experimental and analysis methodologies, called NMR probes, particularly for determination of porosity, permeability, and pore-size distributions of porous media while the developed methodologies can be used for other properties. The NMR relaxation distribution can provide various information about porous systems having NMR active nuclei. The determination of the distribution from NMR relaxation data is an ill-posed inverse problem that requires special care, but conventionally the problem has been solved by ad-hoc methods. We have developed a new method based on sound statistical theory that suitably implements smoothness and equality/inequality constraints. This method is used for determination of porosity distributions. A Carr-Purcell-Meiboom-Gill (CPMG) NMR experiment is designed to measure spatially resolved NMR relaxation data. The determined relaxation distribution provides the estimate of intrinsic magnetization which, in turn, is scaled to porosity. A pulsed-field-gradient stimulated-echo (PFGSTE) NMR velocity imaging experiment is designed to measure the superficial average velocity at each volume element. This experiment measures velocity number distributions as opposed to the average phase shift, which is conventionally measured, to suitably quantify the velocities within heterogeneous porous media. The permeability distributions are determined by solving the inverse problem formulated in terms of flow models and the velocity data. We present new experimental designs associated with flow conditions to enhance the accuracy of the estimates. Efforts have been put forth to further improve the accuracy by introducing and evaluating global optimization methods. The NMR relaxation distribution can be scaled to a pore-size distribution once the surface relaxivity is known. We have developed a new method, which avoids limitations on the range of time for which data may be used, to determine surface relaxivity by the PFGSTE NMR diffusion experiment.
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Smith, K. I. "The two-dimensional nuclear magnetic resonance spectroscopy analysis of peptides in solution." Thesis, University of Manchester, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.377720.

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Ramamurthy, Senthil. "Localized double-quantum filtered correlated spectroscopy on 3T MRI/MRS scanner." Morgantown, W. Va. : [West Virginia University Libraries], 2005. https://etd.wvu.edu/etd/controller.jsp?moduleName=documentdata&jsp%5FetdId=4012.

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Thesis (M.S.)--West Virginia University, 2005.<br>Title from document title page. Document formatted into pages; contains ix, 69 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 65-69).
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Książki na temat "Nuclear Magnetic Resonance Analysis"

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McBrierty, Vincent J. Nuclear magnetic resonance in solid polymers. Cambridge University Press, 1993.

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Bovey, Frank Alden. Nuclear magnetic resonance spectroscopy. 2nd ed. Academic Press, 1988.

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Izydore, Robert A. Fundamentals of nuclear magnetic resonance spectroscopy. Durham Eagle Press, 2007.

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Suhartono. Statistical analysis of nuclear magnetic resonance (nmr) data. UMIST, 1998.

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1946-, Botto Robert E., Sanada Yūzō 1932-, and International Chemical Congress of Pacific Basin Societies (1989 : Honolulu, Hawaii), eds. Magnetic resonance of carbonaceous solids. American Chemical Society, 1993.

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Harris, Robin Kingsley. Nuclear magnetic resonance spectroscopy: A physicochemical view. Longman Scientific & Technical, 1986.

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J, Berliner Lawrence, and Reuben Jacques 1936-, eds. Biological magnetic resonance. Plenum, 1992.

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1934-, Takeuchi Yoshito, and Marchand Alan P, eds. Applications of NMR spectroscopy to problems in stereochemistry and conformational analysis. VCH Publishers, 1986.

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1945-, Mettler Fred A., Muroff Lawrence R, and Kulkarni Madan V, eds. Magnetic resonance imaging and spectroscopy. Churchill Livingstone, 1986.

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1952-, Kitayama Tatsuki, ed. NMR spectroscopy of polymers. Springer, 2004.

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Części książek na temat "Nuclear Magnetic Resonance Analysis"

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Pomeranz, Yeshajahu, and Clifton E. Meloan. "Nuclear Magnetic Resonance." In Food Analysis. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-6998-5_18.

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Spyros, Apostolos. "Application of NMR in food analysis." In Nuclear Magnetic Resonance. Royal Society of Chemistry, 2016. http://dx.doi.org/10.1039/9781782624103-00269.

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Akash, Muhammad Sajid Hamid, and Kanwal Rehman. "Nuclear Magnetic Resonance Spectroscopy." In Essentials of Pharmaceutical Analysis. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1547-7_10.

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Gordon, M. H., and R. Macrae. "Nuclear magnetic resonance spectroscopy." In Instrumental Analysis in the Biological Sciences. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4684-1521-6_9.

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Bruno, Thomas J., and Paris D. N. Svoronos. "Nuclear Magnetic Resonance Spectroscopy." In CRC Handbook of Basic Tables for Chemical Analysis. CRC Press, 2020. http://dx.doi.org/10.1201/b22281-10.

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Yousaf, T. I. "Nuclear magnetic resonance (NMR) spectroscopy." In Introduction to Surfactant Analysis. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1316-8_11.

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Ahluwalia, V. K. "Nuclear Magnetic Resonance (NMR) Spectroscopy." In Instrumental Methods of Chemical Analysis. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-38355-7_25.

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Prestini, Elena. "Nuclear Magnetic Resonance: Imaging and Spectroscopy." In The Evolution of Applied Harmonic Analysis. Birkhäuser Boston, 2004. http://dx.doi.org/10.1007/978-0-8176-8140-1_8.

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Prestini, Elena. "Nuclear Magnetic Resonance: Imaging and Spectroscopy." In The Evolution of Applied Harmonic Analysis. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7989-6_8.

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Borgias, Brandan A., and Thomas L. James. "Structure Determination via Complete Relaxation Matrix Analysis (CORMA) of Two-Dimensional Nuclear Overhauser Effect Spectra." In Biological Magnetic Resonance. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4615-6549-9_3.

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Streszczenia konferencji na temat "Nuclear Magnetic Resonance Analysis"

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Shaw, Greg S., Charles E. Rogers, and Joe H. Payer. "Techniques to Study the Polymer-Metal Interface." In CORROSION 1989. NACE International, 1989. https://doi.org/10.5006/c1989-89020.

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Abstract A review of several techniques for study of the polymer/metal interface is presented. The techniques reviewed include electrochemical impedance spectroscopy, x—ray photoelectron spectroscopy, Fourier transform infrared spectroscopy, scanning electron microscopy with energy dispersive analysis, and nuclear magnetic resonance imaging. Each technique is discussed in terms of its underlying theory and its applicability to the study of the metal/polymer interface.
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Yu-Lan Lin, Ling Peng, Song Chen, Ji-Yang Dong, and Zhong Chen. "Wavelet analysis of nuclear magnetic resonance signal characteristics." In 2007 International Conference on Wavelet Analysis and Pattern Recognition. IEEE, 2007. http://dx.doi.org/10.1109/icwapr.2007.4421764.

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"Structural Analysis of Nuclear Magnetic Resonance Spectroscopy Data." In International Conference on Bioinformatics Models, Methods and Algorithms. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004321902120222.

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Lei, Guanqun, Xinghua Zhao, Zhen Chai, and Zhanchao Liu. "Allan variance analysis of a nuclear magnetic resonance oscillator." In Asia Pacific Conference on Optics Manufacture (APCOM), edited by Jiubin Tan, Xiangang Luo, Ming Huang, Lingbao Kong, Dawei Zhang, and Jennifer Liu. SPIE, 2022. http://dx.doi.org/10.1117/12.2617461.

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Scott, Katherine N., David C. Wilson, Angela P. Bruner, et al. "Automatic analysis of nuclear-magnetic-resonance-spectroscopy clinical research data." In 26th AIPR Workshop: Exploiting New Image Sources and Sensors, edited by J. Michael Selander. SPIE, 1998. http://dx.doi.org/10.1117/12.300074.

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Yang, Yang, Liping Chang, Yumeng Lu, and Luyuan Yang. "Analysis of amino acids in foodstuff by Nuclear Magnetic Resonance." In 2010 3rd International Conference on Biomedical Engineering and Informatics (BMEI). IEEE, 2010. http://dx.doi.org/10.1109/bmei.2010.5640080.

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Seay, Devin, Ishara P. Fernando, and Dustin Keller. "Polarization Measurements with Deep Learning Analysis of Nuclear Magnetic Resonance." In 19th Workshop on Polarized Sources, Targets and Polarimetry. Sissa Medialab, 2023. http://dx.doi.org/10.22323/1.433.0014.

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Gray, H. F. "Genetic programming for the analysis of nuclear magnetic resonance spectroscopy data." In IEE Colloquium on Realising the Clinical Potential of Magnetic Resonance Spectroscopy: the Role of Pattern Recognition. IEE, 1997. http://dx.doi.org/10.1049/ic:19970474.

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Schleif, Frank-Michael, Matthias Ongyerth, and Thomas Villmann. "Sparse Coding Neural Gas for Analysis of Nuclear Magnetic Resonance Spectroscopy." In 21st IEEE International Symposium on Computer-Based Medical Systems (CBMS 2008). IEEE, 2008. http://dx.doi.org/10.1109/cbms.2008.39.

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Meng, Deliang. "Analysis of Size Effect of Concrete Aggregate by Nuclear Magnetic Resonance." In Proceedings of the 2019 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2019). Atlantis Press, 2019. http://dx.doi.org/10.2991/mmsta-19.2019.29.

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Raporty organizacyjne na temat "Nuclear Magnetic Resonance Analysis"

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Smith, R. E. Phosphorus-31 NMR (nuclear magnetic resonance) analysis of gold plating baths. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/5098253.

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McGrath, Kenneth J. Nuclear Magnetic Resonance Analysis of Total TNT Concentration in NESST Formulations. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada323813.

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Friedman, Gennady. Minature Nuclear Magnetic Resonance Spectrometer for In-situ and In-Process Analysis and Monitoring. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/823680.

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Friemand, Gennady, and Alan Feinerman. Miniature Nuclear Magnetic Resonance Spectrometer For In-Situ And In-Process Analysis And Monitoring. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/829901.

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M. H. Wilson. Evaluation Of Automated Low-Field Nuclear Magnetic Resonance (NMR) Relaxometry For Analysis Of Silicone Polymers. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/972918.

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Verkade, J. Functional group analysis in coal and on coal surfaces by NMR (nuclear magnetic resonance) spectroscopy. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/6918499.

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Friedman, G., and A. D. Feinerman. Miniature nuclear magnetic resonance spectrometer for in-situ and in-process analysis and monitoring. 1998 annual progress report. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/13464.

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Fernando, P. U. Ashvin Iresh, Samantha Sullivan, Edith Martinez-Guerra, and Cobb Jared. Internal standard and deuterated solvent selection : a crucial step in PFAS-based fluorine-19 (¹⁹F) NMR research. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47899.

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Streszczenie:
This work is vital because it provides researchers with a framework and rationale for selecting the best internal standard and deuterated solvent for their nuclear magnetic resonance (NMR) analysis of per- and polyfluoroalkyl substances (PFAS)-based compounds. Selecting the best internal standard and deuterated solvent will help to ensure that their results are accurate, precise, and sensitive. The internal standard that is chosen can significantly affect the accuracy, precision, sensitivity, and quantification of NMR measurements. Therefore, it is essential to carefully select an internal standard and a matching deuterated solvent that are well-suited for analyzing PFAS compounds.
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Barbar, Elisar. Nuclear Magnetic Resonance Study of Antigen-Antibody Complexes, Including Sequence Specific Assignments and Structural Analysis of Neurophysin as an Antigen Model. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.1166.

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Takayama, T., M. Nishi, T. Uchida, K. Akihisa, F. Sawamura, and K. Ochiai. Gas hydrate saturation analysis using density and nuclear magnetic-resonance logs from the JAPEX/JNOC/GSC et al. Mallik 5L-38 gas hydrate production research well. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2005. http://dx.doi.org/10.4095/220861.

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