Literatura académica sobre el tema "FTIR Spectra"
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Artículos de revistas sobre el tema "FTIR Spectra"
Cao, Zhen, Yongying Liu y Jiancheng Zhao. "Efficient Discrimination of Some Moss Species by Fourier Transform Infrared Spectroscopy and Chemometrics". Journal of Spectroscopy 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/191796.
Texto completoTsutsumi, Tamao, Alok Shah, Lisa M. T. Lam, Sanmarie Schlebusch, Annika Krueger, Ian Frazer, Phil Hugenholtz et al. "2125. Staphylococcus Species Identification by Fourier Transform Infrared (FTIR) Spectroscopic Techniques: A Cross-Lab Study". Open Forum Infectious Diseases 6, Supplement_2 (octubre de 2019): S720. http://dx.doi.org/10.1093/ofid/ofz360.1805.
Texto completoGreve, Tanja M., Kristine B. Andersen y Ole F. Nielsen. "ATR-FTIR, FT-NIR and near-FT-Raman spectroscopic studies of molecular composition in human skinin vivoand pig ear skinin vitro". Spectroscopy 22, n.º 6 (2008): 437–57. http://dx.doi.org/10.1155/2008/969217.
Texto completoPouchaname, V., R. Madivanane y A. Tinabaye. "FTIR, FTR Spectral Analysis and DFT Calculations of 1, 8-Dimethyl Naphthalene". Advanced Materials Research 584 (octubre de 2012): 371–75. http://dx.doi.org/10.4028/www.scientific.net/amr.584.371.
Texto completoKIRKWOOD, JONAH, ANDREW GHETLER, JACQUELINE SEDMAN, DANIEL LECLAIR, FRANCO PAGOTTO, JOHN W. AUSTIN y ASHRAF A. ISMAIL. "Differentiation of Group I and Group II Strains of Clostridium botulinum by Focal Plane Array Fourier Transform Infrared Spectroscopy". Journal of Food Protection 69, n.º 10 (1 de octubre de 2006): 2377–83. http://dx.doi.org/10.4315/0362-028x-69.10.2377.
Texto completoLasalvia, Maria, Vito Capozzi y Giuseppe Perna. "Discrimination of Different Breast Cell Lines on Glass Substrate by Means of Fourier Transform Infrared Spectroscopy". Sensors 21, n.º 21 (21 de octubre de 2021): 6992. http://dx.doi.org/10.3390/s21216992.
Texto completoRiyanta, A. B., S. Riyanto, E. Lukitaningsih y Abdul Rohman. "The employment of Fourier Transform Infrared Spectroscopy (FTIR) and chemometrics for analysis of candlenut oil in binary mixture with grape seed oil". Food Research 4, n.º 1 (11 de septiembre de 2019): 184–90. http://dx.doi.org/10.26656/fr.2017.4(1).279.
Texto completoIlchenko, Oleksii O., Andrii M. Kutsyk y Vyacheslav V. Obukhovsky. "Study of Complexation in Acetone-Chloroform Mixtures by Infrared Spectroscopy". Journal of Atomic and Molecular Physics 2014 (24 de febrero de 2014): 1–6. http://dx.doi.org/10.1155/2014/106178.
Texto completoGopinath, D. y S. Gunasekaran. "The FTIR Spectra of Raw Magnesite and Sintered Magnesite". International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (30 de junio de 2018): 1072–76. http://dx.doi.org/10.31142/ijtsrd14224.
Texto completoHuleihel, Mahmoud, Marina Talyshinsky y Vitaly Erukhimovitch. "FTIR microscopy as a method for detection of retrovirally transformed cells". Spectroscopy 15, n.º 2 (2001): 57–64. http://dx.doi.org/10.1155/2001/256362.
Texto completoTesis sobre el tema "FTIR Spectra"
Zamotaeva, Valeriya. "High-resolution FTIR spectra analysis of sulfur dioxide isotopologues". Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCK053.
Texto completoIn this thesis we considered the spectral properties of the sulfur dioxide. The experimental FTIR spectra of numerous sulfur dioxide isotopologues, 32S16O2, 34S16O2, 32S18O2 and 32S16O18O, were first recorded in the regions of fundamental, «hot», combination and overtone bands. The wide variability of the experimental conditions gave possibility to observe and identify for the first time transitions be¬ longing to the following of ro-vibrational bands: 3v2, 3v2 - v2, 2v2 - v2 bands of 32S16O2; 2v2 - v2 band of 34S16O2; v1 + v2, v2 + v3, v1 + v3, 2v1, 2v3 bands of 32S18O2; v1, v3, 2v1, v1 + v3, 2v3 bands of 32S16O18O. The inverse spectroscopic problems were solved for the studied states with the «rms»-deviation comparable to the experimental uncertainty of the spectral line position. As a result of the analysis about 38 000 ro-vibrational transitions belonging to 17 excited vibrational states were identified for the first time. The obtained highly accurate data on all sulfur dioxide isotopologues were used to correct the parameters of the IPF
Nawrath, Pavel. "Forenzní analýza půdy metodami FTIR a NIR s multivariační analýzou". Master's thesis, Vysoké učení technické v Brně. Fakulta chemická, 2020. http://www.nusl.cz/ntk/nusl-413556.
Texto completoWilcox, Kieaibi. "Using regression analyses for the determination of protein structure from FTIR spectra". Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/using-regression-analyses-for-the-determination-of-protein-structure-from-ftir-spectra(1ad037eb-f237-4efe-867a-597239bd913e).html.
Texto completoRejaei, Ali Reza. "Correlation of FTIR spectra of protein gels to rheological measurements of gel strength". Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=23292.
Texto completoMorrell, Claire. "FTIR emission studies of chemical processes". Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326026.
Texto completoLink, Jade Varaschim. "Estudo dos genótipos de café arábica utilizando FTIR e redes neurais artificiais". Universidade Tecnológica Federal do Paraná, 2013. http://repositorio.utfpr.edu.br/jspui/handle/1/504.
Texto completoAs condições climáticas específicas de cada região de cultivo do café fornecem atributos especiais para a bebida e podem assim aumentar seu valor agregado. No entanto, é essencial provar a origem geográfica e genotípica do cultivar por meio de métodos confiáveis. Vários métodos matemáticos e estatísticos foram desenvolvidos na tentativa de reproduzir a capacidade humana de reconhecimento de padrões. As redes neurais artificiais (RNAs) são um conjunto de técnicas baseadas em princípios matemáticos e estatísticos, que vem atualmente ganhando espaço para realizar tarefas de regressão e reconhecimento de padrões. As RNAs são técnicas capazes de realizar o mapeamento de relações complexas e não lineares entre múltiplas variáveis de entrada e saída. Neste trabalho foram utilizados três tipos de rede neural artificial, o mapa auto-organizável (aprendizagem não-supervisionada), o perceptron de múltiplas camadas (aprendizagem supervisionada) e a rede de base radial (processo de aprendizagem híbrido), para o reconhecimento e classificação geográfica e genotípica de café arábica. Para esse fim a composição química e os espectros obtidos no equipamento de espectroscopia no infravermelho com transformada de Fourier (FTIR) foram analisados através do emprego de diferentes RNAs. No desenvolvimento das redes, foram aplicadas metodologias para: melhor generalização das redes (média de ensemble) e escolha dos parâmetros de rede (otimização simplex sequencial). O mapa auto-organizável apresentou foi capaz de reconhecer os genótipos de café e a sua origem geográfica, utilizando os dados do perfil químico das amostras. Após os resultados obtidos foi possível concluir que os perceptrons de múltiplas camadas otimizados foram capazes de classificar as amostras de café arábica geograficamente. Entretanto, para a classificação genotípica o desempenho não foi totalmente satisfatório. As redes de função de base radial otimizadas apresentaram resultados mais satisfatórios pois foram capazes de classificar as amostras de café arábica geograficamente e genotipicamente. Além dos melhores resultados obtidos para a classificação genotípica, as redes de função de base radial apresentam um número menor de parâmetros livres quando comparada com os perceptrons de múltiplas camadas, que apresentam um número muito elevado de pesos sinápticos, não proporcionando número suficiente de graus de liberdade para que a rede neural possa aprender de maneira confiável.
The climatic conditions of the coffee crop give special attributes to the beverage and could improve its value. However, it is essential to prove the geographical and genotype origin of the cultivar using reliable methods. Several mathematical methods have been developed in an attempt to reproduce the human capability of pattern recognition. The artificial neural networks (ANNs) are a set of techniques based on statistical principles, which is currently growing in the food science to perform tasks of regression and pattern recognition. ANNs are techniques that can represent complex and nonlinear input-output relationships. In this study three types of artificial neural network were used, namely the self-organizing maps (unsupervised learning), the multilayer perceptron (supervised learning) and the radial-basis function network (hybrid learning process), for the recognition and geographic and genotypic classification of arabic coffee. For this purpose, spectra obtained in the Fourier transform infrared (FTIR) were analyzed using different ANNs. Other techniques were also applied during neural network development: ensemble averaging to improve the network generalization and sequential simplex optimization to select parameters. It was concluded that the SOM were able to recognize the coffee genotypes and geographical origin using the chemical profile data. After the results it was concluded that the optimized multilayer perceptrons were able to classify the samples of arabica coffee geographically. However, for genotypic classification the performance was not satisfactory. The optimized radial-basis function networks showed more satisfactory results since these networks were able to classify the samples of arabica coffe geographically and genotypically. The radial-basis function networks presents the best results to genotypic classification and in addition a smaller number of free parameters compared with multilayer perceptrons, which has a high number of synaptic weights, thus a large degrees of freedom database is necessary to produce a network with generalization capability.
Derenne, Allison. "FTIR spectra of cancer cells exposed to anticancer drugs reflect their cellular mode of action". Doctoral thesis, Universite Libre de Bruxelles, 2013. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209494.
Texto completoIn chapter III, it was demonstrated that spectral variations in IR spectra of cancer cells induced by a treatment can be correlated to the mechanism of the drug. Human prostate cancer PC-3 cells were exposed to 7 well-described anticancer drugs belonging to 3 distinct classes. Each class is characterized by a unique mode of action. Drugs known to induce similar types of metabolic disturbances appear to cluster when spectrum shapes are analyzed. Chapter IV generalized the results obtained on PC-3 cells with six other cell lines. We showed that the spectral signatures of drug effects are mainly independent of the cell line. Chapter V indicated that, while the cell cycle phase influence IR spectra of cells, the drug spectral signature was dominated by global metabolic modifications and not much by the cell cycle perturbations due to this drug.
Chapter VI and VII focused on lipids. While the precise identification of particular molecules is particularly complex with IR spectroscopy, we attempted to extract more precise information and to assign spectral variations to specific changes in lipids. IR spectra of lipids contain very interesting details on their nature and structure. We achieved to build a tool which quantifies five major lipid classes in complex mixtures such as total lipid cell extracts. However, based on this tool, the treatments used do not induce any variation in the lipid cell composition (for five classes).
Finally, in chapter VIII, we applied the method developed previously on a new potential class of anticancer molecules: the polyphenols. A global method was particularly interesting as the development of therapy using these compounds is hampered by the complexity of the multiple anticarcinogenic mechanisms of these molecules. We have noticed the similarities and discrepancies among 3 very close synthetic molecules and the observations were coherent with previous biological data. We also compared them with 3 natural molecules already in clinical phase for treatment of various cancers.
In conclusion, we developed an objective classifier for potential anticancer drugs based on their global effects on cancer cells. Applied to a larger scale, this method could constitute a first step in the screening method to select drugs with original mode of action.
There is an urgent need to develop reliable and cost-saving methods to select pre-clinically new drug candidates with original mechanism for cancer therapy. Previous results have shown that IR spectra of cancer cells exposed to various drugs provided a global signature of all the metabolic changes induced by the treatments. In this thesis, we attempted to develop a selection criterion – based on FTIR spectroscopy – for potential antitumor compounds according to their mechanism of action.
In chapter III, it was demonstrated that spectral variations in IR spectra of cancer cells induced by a treatment can be correlated to the mechanism of the drug. Human prostate cancer PC-3 cells were exposed to 7 well-described anticancer drugs belonging to 3 distinct classes. Each class is characterized by a unique mode of action. Drugs known to induce similar types of metabolic disturbances appear to cluster when spectrum shapes are analyzed. Chapter IV generalized the results obtained on PC-3 cells with six other cell lines. We showed that the spectral signatures of drug effects are mainly independent of the cell line. Chapter V indicated that, while the cell cycle phase influence IR spectra of cells, the drug spectral signature was dominated by global metabolic modifications and not much by the cell cycle perturbations due to this drug.
Chapter VI and VII focused on lipids. While the precise identification of particular molecules is particularly complex with IR spectroscopy, we attempted to extract more precise information and to assign spectral variations to specific changes in lipids. IR spectra of lipids contain very interesting details on their nature and structure. We achieved to build a tool which quantifies five major lipid classes in complex mixtures such as total lipid cell extracts. However, based on this tool, the treatments used do not induce any variation in the lipid cell composition (for five classes).
Finally, in chapter VIII, we applied the method developed previously on a new potential class of anticancer molecules: the polyphenols. A global method was particularly interesting as the development of therapy using these compounds is hampered by the complexity of the multiple anticarcinogenic mechanisms of these molecules. We have noticed the similarities and discrepancies among 3 very close synthetic molecules and the observations were coherent with previous biological data. We also compared them with 3 natural molecules already in clinical phase for treatment of various cancers.
In conclusion, we developed an objective classifier for potential anticancer drugs based on their global effects on cancer cells. Applied to a larger scale, this method could constitute a first step in the screening method to select drugs with original mode of action.
Afin d’améliorer les thérapies contre le cancer, il devient actuellement cruciale de développer une méthode pour améliorer la sélection préclinique de nouvelles molécules, potentiellement anticancéreuses. Des publications précédentes ont mis en évidence que les spectres infrarouges de cellules cancéreuses exposées à différents agents thérapeutiques fournissent une empreinte globale de l’ensemble des changements métaboliques induit par ce médicament. Dans cette thèse, nous proposons d’utiliser la spectroscopie infrarouge pour mettre au point un critère de sélection basé sur le mode d’action des agents anticancéreux. Plusieurs aspects de la technique ont été investigués. Nous avons d’abord démontré la possibilité d’utiliser les spectres infrarouges de cellules cancéreuses de prostate PC-3 traitées avec 7 drogues pour classer ces molécules selon leur mode d’action. Nous avons ensuite reproduit les résultats obtenus sur PC-3 avec 6 autres lignées cellulaires et montré que la signature spectrale obtenue était largement indépendante de la lignée. Par la suite, nous avons étudié si l’effet sur le cycle cellulaire induit par de nombreuses molécules anticancéreuses, pouvait expliquer certains changements spectraux observés suite au traitement. Nous avons pu montrer que la majorité des variations spectrales n’étaient pas liées à une perturbation du cycle cellulaire. Nous nous sommes ensuite concentrés sur une classe de molécules en particulier: les lipides. Après avoir mis en évidence l’ensemble des informations contenues dans un spectre infrarouge de lipides, nous avons mis au point un modèle permettant de quantifier 5 classes de lipides dans des mélanges complexes tels que des extraits lipidiques provenant de cellules. Néanmoins, aucune variation du contenu en ces 5 classes de lipides n’a été observée pour les traitements utilisés dans cette étude. Enfin, nous avons appliqué la méthode mise au point dans cette thèse à une classe de molécules prometteuses :les polyphénols. Une approche globale s’avère particulièrement intéressante pour ces composés étant donné qu’ils présentent des mécanismes anticancéreux multiples et complexes. Nous avons comparé 3 molécules naturelles en phase clinique pour le traitement de certains cancers et 3 molécules synthétiques présentant une structure très proche. Par notre méthode, nous avons mis en évidence certaines similarités et différences de ces 6 molécules en termes d’effets globaux sur les cellules. En conclusions, nous avons développé un outil objectif de classification pour les molécules anticancéreuses potentielles, basée sur le mécanisme global des composés. Appliquée à plus large échelle, cette méthode pourrait constituer une première étape permettant de sélectionner les molécules avec un mode d’action original.
Doctorat en Sciences agronomiques et ingénierie biologique
info:eu-repo/semantics/nonPublished
Dohe, Susanne [Verfasser] y M. [Akademischer Betreuer] Olzmann. "Measurements of atmospheric CO2 columns using ground-based FTIR spectra / Susanne Dohe. Betreuer: M. Olzmann". Karlsruhe : KIT-Bibliothek, 2013. http://d-nb.info/1047383500/34.
Texto completoArshad, Khubaib y Muhammad Mujahid. "Biodegradation of Textile Materials". Thesis, Högskolan i Borås, Institutionen Textilhögskolan, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-20862.
Texto completoProgram: Master Programme in Textile Technology
Ibrahim, Amr y University of Lethbridge Faculty of Arts and Science. "Spectroscopic study of channel spectra phenomena in the synchrotron-based FTIR spectrometer at the Canadian Light Source". Thesis, Lethbridge, Alta. : University of Lethbridge, Dept. of Physics and Astronomy, c2010, 2010. http://hdl.handle.net/10133/2638.
Texto completoxiv, 134 leaves : ill. ; 29 cm
Libros sobre el tema "FTIR Spectra"
Analysis of surfactants: Atlas of FTIR spectra with interpretations. Munich: Hanser, 1996.
Buscar texto completo1974-, Bhargava Rohit, ed. Liquid chromatography/FTIR microspectroscopy/microwave assisted synthesis. Berlin: Springer, 2003.
Buscar texto completoWiley y Sigma Aldrich. Sigma-Aldrich Library of FTIR Spectra. Wiley & Sons, Limited, John, 2018.
Buscar texto completoHummel, Dietrich O., Astrid Baum, Min Liu, Amerigo Pastura y Andrea Weber. Analysis of Surfactants: Atlas of Ftir-Spectra With Interpretations. Hanser Gardner Publications, 1996.
Buscar texto completoBhargava, R. y A. Prociak S. -Q. Liquid Chromatography / Ftir Microspectroscopy / Microwave Assisted Synthesis. Springer, 2010.
Buscar texto completoPanigrahi, Muktikanta y Arpan Kumar Nayak. Polyaniline based Composite for Gas Sensors. IOR PRESS, 2021. http://dx.doi.org/10.34256/ioriip212.
Texto completo(Contributor), R. Bhargava, D. Bogdal (Contributor), T. Chang (Contributor), D. Hunkeler (Contributor), J. L. Koenig (Contributor), T. Macko (Contributor), P. Penczek (Contributor), J. Pielichowski (Contributor), A. Prociak (Contributor) y S. Q. Wang (Contributor), eds. Liquid Chromatography / FTIR Microspectroscopy / Microwave Assisted Synthesis (Advances in Polymer Science). Springer, 2004.
Buscar texto completoCapítulos de libros sobre el tema "FTIR Spectra"
Tsyganenko, N. M., A. A. Tsyganenko, C. Picand, J. Travert y G. Novel. "FTIR Spectra of Vacuum-Dried Films of Bacteria". En Spectroscopy of Biological Molecules, 513–14. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0371-8_236.
Texto completoKrasnokutski, S. A., A. Yu Ivanov, G. G. Sheina y Yu P. Blagoi. "FTIR spectra of monomeric adenosine isolated in the low temperature Ar matrices". En Spectroscopy of Biological Molecules: New Directions, 263–64. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4479-7_115.
Texto completoBlackler, M. J., C. W. Wharton y M. P. Weir. "The Effect of Ligand Binding on the FTIR Spectra of Serine Proteinase Enzymes". En Spectroscopy of Biological Molecules, 155–56. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0371-8_71.
Texto completoAbidi, Noureddine. "Sample Preparation, Data Acquisition, Spectral Data Processing and Analysis". En FTIR Microspectroscopy, 125–28. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-84426-4_8.
Texto completoKoba, R., J. R. Monkowski y R. E. Tressler. "The Hygroscopic Behavior of SiO2 and SixOyClz Thin Films on Si Using ATR FTIR Spectra". En Advances in Materials Characterization II, 301–13. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4615-9439-0_23.
Texto completoHernandez, B., G. Vergoten, A. Hernanz y R. Navarro. "FTIR AND FT-Raman Spectra of ara-AMP, Assignment of Normal Modes from AB Initio HF/6-31G ** Force Field". En Spectroscopy of Biological Molecules: Modern Trends, 227–28. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5622-6_100.
Texto completoHellwig, P., C. Ostermeier, B. Ludwig, H. Michel y W. Mäntele. "Electrochemically Induced FTIR Difference Spectra Show Protonation of ASP and GLU Side Chains of the Cytochrome C Oxidase from Paracoccus Denitrificans". En Spectroscopy of Biological Molecules: Modern Trends, 197–98. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5622-6_89.
Texto completoHastings, Gary y K. M. Priyangika Bandaranayake. "Quinone Anion Bands in A1 −/A1 FTIR Difference Spectra Investigated Using Photosystem I Particles with Specifically Labeled Naphthoquinones Incorporated into the A1 Binding Site". En Photosynthesis. Energy from the Sun, 73–76. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6709-9_17.
Texto completoShimoda, Haruhisa y Toshihiro Ogawa. "Development of a FTIR Sounder — IMG". En High Spectral Resolution Infrared Remote Sensing for Earth’s Weather and Climate Studies, 37–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-84599-4_4.
Texto completoSüss, Björn y Holger Dau. "The Photosynthetic Mn Complex in Its Reaction Cycle: An Attempt to Obtain Pure FTIR Difference Spectra for the Four Transitions Between Semi-Stable S-States and for QB Redox Transitions". En Photosynthesis. Energy from the Sun, 509–12. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6709-9_115.
Texto completoActas de conferencias sobre el tema "FTIR Spectra"
Lipinska-Kalita, Krystyna E. y Leonard M. Proniewicz. "FTIR Spectra Of Amorphous Silicates". En Intl Conf on Fourier and Computerized Infrared Spectroscopy, editado por David G. Cameron. SPIE, 1989. http://dx.doi.org/10.1117/12.969442.
Texto completoMichaelian, K. H. y W. I. Friesen. "Resolution Enhancement of Photoacoustic FTIR Spectra". En 1985 International Conference on Fourier and Computerized Infrared Spectroscopy, editado por David G. Cameron y Jeannette G. Grasselli. SPIE, 1985. http://dx.doi.org/10.1117/12.970799.
Texto completoToon, Geoffrey C., Debra Wunch y Paul Wennberg. "Correction of Ghosts in FTIR spectra". En Fourier Transform Spectroscopy. Washington, D.C.: OSA, 2015. http://dx.doi.org/10.1364/fts.2015.fw3a.6.
Texto completoAndrews, Lester. "Matrix FTIR spectroscopy of transient species". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.wi1.
Texto completoHatzikraniotis, E., Th Hassapis, Th Kyratsi, K. M. Paraskevopoulos y M. G. Kanatzidis. "FTIR Reflectivity spectra of Thermoelectric K2Sb8Se13 crystals". En 2006 25th International Conference on Thermoelectrics. IEEE, 2006. http://dx.doi.org/10.1109/ict.2006.331379.
Texto completoWoods, R., Samuel Wood, Karel Vávra, Stepan Urban, Houston Smith, Andrew Owen, Vanessa Orr et al. "COMBINED MILLIMETER WAVE AND FTIR SPECTRA OF DN3". En 2022 International Symposium on Molecular Spectroscopy. Urbana, Illinois: University of Illinois at Urbana-Champaign, 2022. http://dx.doi.org/10.15278/isms.2022.rm11.
Texto completoXu, Li-Hong y R. M. Lees. "FTIR Spectra and Torsion-Vibration Coupling in 13CD3OH". En High Resolution Spectroscopy. Washington, D.C.: Optica Publishing Group, 1993. http://dx.doi.org/10.1364/hrs.1993.pd5.
Texto completoWebb, John D., Karl R. Loos, Stuart A. Reid, Joanna I. Hughes y S. Williamson. "Matching of high-resolution water-vapor spectra with open path FTIR field spectra". En Optical Sensing for Environmental and Process Monitoring, editado por Orman A. Simpson. SPIE, 1995. http://dx.doi.org/10.1117/12.210816.
Texto completoPeñaranda, Francisco, Fernando López-Mir, Valery Naranjo, Jesús Angulo, Lena Kastl y Juergen Schnekenburger. "New Spectral Representation and Dissimilarity Measures Assessment for FTIR-spectra using Unsupervised Classification". En International Conference on Bio-inspired Systems and Signal Processing. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005188001720177.
Texto completoMilz, Mathias y Thomas von Clarmann. "Automated quality control of scene and residual FTIR spectra". En Industrial Lasers and Inspection (EUROPTO Series), editado por Michel R. Carleer, Moira Hilton, Torsten Lamp, Rainer Reuter, George M. Russwurm, Klaus Schaefer, Konradin Weber, Klaus C. H. Weitkamp, Jean-Pierre Wolf y Ljuba Woppowa. SPIE, 1999. http://dx.doi.org/10.1117/12.364204.
Texto completoInformes sobre el tema "FTIR Spectra"
Michaelian, K. H. y W. I. Friesen. Resolution enhancement of photoacoustic FTIR spectra. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1985. http://dx.doi.org/10.4095/304862.
Texto completoFriesen, W. I. y K. H. Michaelian. Fourier deconvolution of photoacoustic FTIR spectra. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/304887.
Texto completoZwinkels, J. C., J. C. Donini y K. H. Michaelian. Photoacoustic and diffuse reflectance FTIR spectra of Kaolinite. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1985. http://dx.doi.org/10.4095/304863.
Texto completoArmstrong, Derek Elswick. Mathematical Formulation used by MATLAB Code to Convert FTIR Interferograms to Calibrated Spectra. Office of Scientific and Technical Information (OSTI), julio de 2016. http://dx.doi.org/10.2172/1291184.
Texto completoTomasko, Maria S. Evaluating open-path FTIR spectrometer data using different quantification methods, libraries, and background spectra obtained under varying environmental conditions. Office of Scientific and Technical Information (OSTI), enero de 1995. http://dx.doi.org/10.2172/587725.
Texto completo[High spectral resolution FTIR observations for the ARM program: Continued development, evaluation and analysis]. Office of Scientific and Technical Information (OSTI), diciembre de 1993. http://dx.doi.org/10.2172/10105871.
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