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Journal articles on the topic 'Spectre IR'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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1

Petibois, C., G. Déléris, and G. Cazorla. "Utilisations du spectre IR-TF du sérum pour la prévention du surentraînement." Science & Sports 15, no. 5 (September 2000): 267–70. http://dx.doi.org/10.1016/s0765-1597(00)80042-8.

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2

Heng, Yee-Kuang. "Ghosts in the machine: Is IR eternally haunted by the spectre of old concepts?" International Politics 47, no. 5 (September 2010): 535–56. http://dx.doi.org/10.1057/ip.2010.23.

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3

Zerguine, Riad. "Skin and the sun." Batna Journal of Medical Sciences (BJMS) 2, no. 1 (June 30, 2015): 24–29. http://dx.doi.org/10.48087/bjmsra.2015.2106.

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Le soleil émet une multitude de rayonnements électromagnétiques filtrés par l’atmosphère terrestre. Arrivant à la surface de la planète, ces rayonnements sont indispensables pour l'installation et le développement de la vie. Le spectre solaire au sol comporte les ultraviolets (UV) B (290-320 nm) et les UVA (320-400 nm), la lumière visible et des infrarouges (IR). Les UV activent des molécules, appelées chromophores, contenues dans la peau et qui sont susceptibles de se modifier et ils déclenchent ainsi une cascade de réactions photochimiques ayant des conséquences biologiques et cliniques majeures. Les effets peuvent être soit aigus, soit d'apparition rapide et généralement de courte durée, ou chroniques, d'installation progressive et de longue durée. Les exemples des effets aigus comprennent les coups de soleil et la production de vitamine D, alors que le photovieillissement et le cancer de la peau sont les résultats d'une exposition chronique depuis de nombreuses années. Si le soleil est indispensable à la vie, son énergie potentiellement destructrice impose à l'homme de savoir l'apprivoiser et de photoprotéger sa peau.

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4

Ruwet, A., and M. Renson. "Étude du Spectre ir des Thio-1 et Séléno-1 Coumarines et des Dérivés Thio-2 Correspondants. Comparaison Avec les Thio-1 et Séléno-1 Chromones Isomères." Bulletin des Sociétés Chimiques Belges 79, no. 1-2 (September 2, 2010): 89–101. http://dx.doi.org/10.1002/bscb.19700790111.

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5

Choudhury, M. D., R. Sen, and B. I. Sharma. "Vibrational IR Spectra of Solid Carbon Monoxide." Ukrainian Journal of Physics 62, no. 2 (February 2017): 146–51. http://dx.doi.org/10.15407/ujpe62.02.0146.

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6

Štefl, Stan, Alex C. Carciofi, Dietrich Baade, Thomas Rivinius, Sebastian Otero, Jean-Baptiste Le Bouquin, Juan Fabregat, Atsuo T. Okazaki, and Fredrik Rantakyrö. "The 2008+ outburst of the Be star 28 CMa - a multi-instrument study." Proceedings of the International Astronomical Union 6, S272 (July 2010): 430–32. http://dx.doi.org/10.1017/s1743921311011069.

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AbstractOptical and IR spectra, optical to sub-mm photometry, visual imaging polarimetry, and IR high-resolution spectro-interferometry are being used to monitor the new outburst of 28 CMa, which started in 2008 and so far closely resembles previous ones. First modeling based on viscous decretion and focused on constraining the disk viscosity parameter, α, is presented.

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7

Parry, Diane B., Mahesh G. Samant, and Owen R. Melroy. "Interpreting IR Difference Spectra." Applied Spectroscopy 45, no. 6 (July 1991): 999–1007. http://dx.doi.org/10.1366/0003702914336228.

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8

Rzhevskii, A. M., D. K. Buslov, and N. I. Makarevich. "Specord 75 IR automatic IR-system." Journal of Applied Spectroscopy 45, no. 2 (August 1986): 833–36. http://dx.doi.org/10.1007/bf00657467.

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9

Arrondo, José Luis R., Ibon Iloro, Julián Aguirre, and Félix M. Goñi. "A two‒dimensional IR spectroscopic (2D‒IR) simulation of protein conformational changes." Spectroscopy 18, no. 1 (2004): 49–58. http://dx.doi.org/10.1155/2004/406126.

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Two‒dimensional IR correlation spectroscopy (2D‒IR) is a novel method that provides the analysis of infrared spectra with the capacity to differentiate overlapping peaks and to distinguish between in‒phase and out‒of‒phase spectral responses. Artificial spectra originated from protein amide I band component parameters have been used to study their variation in the correlation maps. Using spectra composed of one, two or three Gaussian peaks, behaviour patterns of the bands in the synchronous and asynchronous maps have been originated, with changes in intensity, band position and bandwidth. Intensity changes produce high‒intensity spots in the synchronous spectra, whereas only noise is observed in the asynchronous spectra. Band shifting originates more complex patterns. In synchronous spectra, several spots are generated at the beginning and at the end of the shifting band. Also, characteristic asynchronous spectra with butterfly‒like shapes are formed showing the trajectory of the shift. Finally, synchronous maps corresponding to band broadening reveal several spots at peak inflection points, related to the zones with higher intensity variation. The asynchronous spectra are very complex but they follow a characteristic symmetric pattern. Furthermore, examples of maps obtained from polypeptides and proteins using temperature as the perturbing factor are interpreted in terms of the patterns obtained from artificial bands.

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10

Burya, Aleksandr, Olga Naberezhnaya, and Svetlana Suchylina-Sokolenko. "IR-SPECTRAL ANALYSIS OF SELF-REINFORCED ORGANOPLASTIC MATERIALS." TECHNICAL SCIENCES AND TECHNOLOG IES, no. 1(7) (2017): 207–16. http://dx.doi.org/10.25140/2411-5363-2017-1(7)-207-216.

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11

Varlashkin, P. G., M. J. D. Low, G. A. Parodi, and C. Morterra. "A Comparison of FT-IR/PA and FT-IR/PBD Spectra of Powders." Applied Spectroscopy 40, no. 5 (July 1986): 636–41. http://dx.doi.org/10.1366/0003702864508539.

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FT-IR photoacoustic (PA) and also photothermal beam deflection (PBD) spectra were recorded with the same particulate samples (graphite, charcoal, aspirin, and silica) under the same conditions in order to compare the quality of the spectra obtainable with the two techniques. A PA cell fitted with windows for the PBD laser probe beam was used, and PA and PBD spectra of each sample were recorded at 8 cm−1 resolution at each of the four different interferometer scan velocities. Although the overall aspects of FT-IR/PA and FT-IR/PBD spectra are the same, the signal-to-noise ratios of PA spectra are appreciably better than those of PBD spectra because PBD detection is more prone to disturbance by vibration than is PA detection. Absorption bands appear at the same wavenumbers in PA and PBD spectra. However, the relative intensities of bands of PBD spectra depend on the absorptive properties of the powdered solids; with weak absorbers, some bands may not be detected at all. PAS can be used with all powders. PBDS is of little or no use for the examination of weakly absorbing powders unless they scatter IR radiation extensively.

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12

Riyatun, A. L. Sari, H. Purwanto, and A. Marzuki. "IR spectra of Pb:TZBN glasses." Journal of Physics: Conference Series 776 (November 2016): 012108. http://dx.doi.org/10.1088/1742-6596/776/1/012108.

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13

Kolezhuk, K. V., T. A. Kudykina, and I. A. Samoilova. "IR absorption spectra in Pb0.83Sn0.17Te." Infrared Physics 25, no. 1-2 (February 1985): 375–79. http://dx.doi.org/10.1016/0020-0891(85)90110-1.

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14

Bulanin, K. M., J. C. Lavalley, and A. A. Tsyganenko. "IR spectra of adsorbed ozone." Colloids and Surfaces A: Physicochemical and Engineering Aspects 101, no. 2-3 (August 1995): 153–58. http://dx.doi.org/10.1016/0927-7757(95)03130-6.

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15

Park, Jongseo, and Yujin Lim. "Changes in IR Spectra of Ambers with Accelerated Aging." Journal of the Korean Conservation Science for Cultural Properties 28, no. 3 (September 20, 2012): 247–56. http://dx.doi.org/10.12654/jcs.2012.28.3.247.

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16

Filip, Z., S. Hermann, and K. Demnerová. "FT-IR spectroscopic characteristics of differently cultivated Escherichia coli." Czech Journal of Food Sciences 26, No. 6 (January 11, 2009): 458–63. http://dx.doi.org/10.17221/14/2008-cjfs.

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FT-IR spectra were recorded of <i>Escherichia coli</i> cell mass with the aim of obtaining spectral traits possibly useful in a rapid detection and characterisation of this indicator bacterium. A well differentiated spectrum was obtained from the cell mass harvested in a stationary phase of growth, e.g., after 24 h, from a minimum nutrient broth. The cell mass, harvested either earlier or grown in nutrient solutions which contained an enhanced carbon or nitrogen concentrations delivered somewhat different IR spectra, apparently due to a higher content of nucleic acid components as related to other structural constituents of bacterial cells. Consequently, the FT-IR spectra of <i>E. coli</i>, although rather rapidly to collect, seem only capable of delivering useful and reproducible information if the cell mass is obtained under standardised cultural conditions.

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17

Suh, Kyung-Won, and H. Y. Kim. "Modeling IR spectra of OH/IR stars at different phases." Astronomy & Astrophysics 391, no. 2 (August 2002): 665–74. http://dx.doi.org/10.1051/0004-6361:20020871.

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18

YASAR, Sulhattin, and Ramazan TOSUN. "A Fast and Robust FTIR-ATR Coupled Chemometric Determination of Chemical and Molecular Structure of Wheat (Triticum aestivum L.) under a Series of Microbial Fermentation Processes." Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Animal Science and Biotechnologies 78, no. 1 (May 14, 2021): 64. http://dx.doi.org/10.15835/buasvmcn-asb:2020.0016.

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This study aimed to ferment wheat grain by optimised bacteria, yeast and fungal fermentations. Crude protein, tannin, phytic acid and lactic acid contents of samples taken at 24 h intervals determined by chemical methods were compared with those of infrared (IR) spectro-chemometry. Secondary protein components were further quantified with IR spectra deconvolution method. The results indicated that some fermentations increased crude protein of wheat, whilst its tannin and phytic acid degraded in all fermentations. Wheat enriched with lactic acid content in all fermentations. FT-IR spectroscopic method accurately (99.99% of recovery) and precisely (regression coefficient of prediction R2 = 0.999, P <0.0001) predicted these nutrient contents. Fermentation positively caused a re-organised secondary protein conformation; the percentages of β-sheet and α-helix increased by 68 and 140%, respectively, whereas the random coil decreased by 63%. FT-IR spectrometry combined with suitable chemometric tools provided a fast and robust monitoring of chemical and structural changes during microbial fermentation.

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19

A. AL-Temimei, Faeq, and Hamid I. Abbood. "Electronic Structure, IR and UV-Vis Spectra of Some Suggested Ziegler-Natta Catalysts." Journal of Kufa Physics 10, no. 01 (June 10, 2018): 87–94. http://dx.doi.org/10.31257/2018/jkp/100111.

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20

WANG, Jing-Zun, and Ting WANG. "How to Interpret Infrared (IR) Spectra." University Chemistry 31, no. 6 (2016): 90–97. http://dx.doi.org/10.3866/pku.dxhx201504001.

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21

Pauzat, F., D. Talbi, M. D. Miller, D. J. DeFrees, and Y. Ellinger. "Theoretical IR spectra of ionized naphthalene." Journal of Physical Chemistry 96, no. 20 (October 1992): 7882–86. http://dx.doi.org/10.1021/j100199a011.

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22

Meléndez, J., B. V. Castilho, and B. Barbuy. "IR Boron Lines in Stellar Spectra." Symposium - International Astronomical Union 198 (2000): 487–88. http://dx.doi.org/10.1017/s0074180900167129.

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We have computed synthetic spectra of the infrared B I transitions at 1.166 and 1.624 μm in order to examine the possibility of abundance determination by using these lines. We found that the IR boron lines are better observed in cool giants and supergiants. S/N > 150 and R ≈ 60000 are required in order to determine the boron abundances.

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23

Taga, Keijiro, Michael G. Sowa, Jing Wang, Hideki Etori, Tadayoshi Yoshida, Hirofumi Okabayashi, and Henry H. Mantsch. "FT-IR spectra of glycine oligomers." Vibrational Spectroscopy 14, no. 1 (March 1997): 143–46. http://dx.doi.org/10.1016/s0924-2031(96)00061-6.

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24

Possokhov, Yu M., V. I. Butakova, and V. K. Popov. "Decomposition of IR spectra of coal." Coke and Chemistry 58, no. 2 (February 2015): 49–57. http://dx.doi.org/10.3103/s1068364x15020052.

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25

Suleymanov, Yury. "Protein IR spectra from machine learning." Science 370, no. 6521 (December 3, 2020): 1178.7–1179. http://dx.doi.org/10.1126/science.370.6521.1178-g.

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26

Saarinen, Pekka, and Jyrki Kauppinen. "Multicomponent Analysis of FT-IR Spectra." Applied Spectroscopy 45, no. 6 (July 1991): 953–63. http://dx.doi.org/10.1366/0003702914336309.

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27

Botto, I. L., M. B. Vassallo, E. J. Baran, and G. Minelli. "IR spectra of VO2 and V2O3." Materials Chemistry and Physics 50, no. 3 (October 1997): 267–70. http://dx.doi.org/10.1016/s0254-0584(97)01940-8.

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28

D’Anna, Vincenza, Alexandra Spyratou, Manish Sharma, and Hans Hagemann. "FT-IR spectra of inorganic borohydrides." Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 128 (July 2014): 902–6. http://dx.doi.org/10.1016/j.saa.2014.02.130.

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29

Brunn, J., P. Grosse, and R. Wynands. "Quantitative analysis of photoacoustic IR spectra." Applied Physics B Photophysics and Laser Chemistry 47, no. 4 (December 1988): 343–48. http://dx.doi.org/10.1007/bf00716096.

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30

Men', A. N., S. L. Mesnyankina, V. B. Fetisov, G. A. Narnov, and V. O. Khudolozhkin. "IR spectra of complex spinel solutions." Journal of Applied Spectroscopy 53, no. 5 (November 1990): 1173–77. http://dx.doi.org/10.1007/bf00938132.

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31

Kofanov, E. R., V. V. Sosnina, and G. S. Mironov. "IR spectra of photosensitive polyamide acids." Journal of Applied Spectroscopy 56, no. 4 (April 1992): 352–56. http://dx.doi.org/10.1007/bf00665029.

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32

Strazzulla, G., P. Massimino, F. Spinella, L. Calcagno, and A. M. Foti. "IR spectra of irradiated organic materials." Infrared Physics 28, no. 3 (May 1988): 183–88. http://dx.doi.org/10.1016/0020-0891(88)90008-5.

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33

Gladkov, L. L., Yu D. Khamchukov, I. Yu Sychev, A. V. Lyubimov, and G. A. Gladkova. "Interpretation of IR Spectra of Indolinospirobenzothiopyran." Journal of Applied Spectroscopy 82, no. 4 (September 2015): 554–60. http://dx.doi.org/10.1007/s10812-015-0144-6.

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34

Coleman, W. M., Bert M. Gordon, and Brian M. Lawrence. "Examinations of the Matrix Isolation Fourier Transform Infrared Spectra of Organic Compounds: Part XII." Applied Spectroscopy 43, no. 2 (February 1989): 298–304. http://dx.doi.org/10.1366/0003702894203273.

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Matrix isolation Fourier transform infrared spectra (MI/FT-IR), mass spectra (MS), carbon-13 Nuclear Magnetic Resonance (13C-NMR) spectra, condensed-phase infrared spectra, and vapor-phase infrared (IR) spectra are presented for a series of terpene compounds. Subtle differences in positional and configurational isomers commonly found with terpenes could be easily detected by the MI/FT-IR spectra. The results are comparable in some aspects to those obtainable from 13C-NMR and thin-film IR; however, most importantly, they are acquired at the low nanogram level for MI/FT-IR, as compared to the milligram level for the other techniques. These results represent an advance in the technology available for the analysis of complex mixtures such as essential oils containing terpene-like molecules.

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35

Mariñoso Guiu, Joan, Antoni Macià, and Stefan T. Bromley. "How to accurately model IR spectra of nanosized silicate grains." Proceedings of the International Astronomical Union 15, S350 (April 2019): 431–33. http://dx.doi.org/10.1017/s174392132000006x.

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AbstractWe assess the accuracy of various computational methods for obtaining infrared (IR) spectra of nanosized silicate dust grains directly from their atomistic structure and atomic motions. First, IR spectra for a selection of small nanosilicate clusters with a range of sizes and chemical compositions are obtained within the harmonic oscillator approximation employing density functional theory (DFT) based quantum chemical calculations. To check if anharmonic effects play a significant role in the IR spectra of these nanoclusters, we further obtain their IR spectra from finite temperature DFT-based ab initio molecular dynamics (AIMD). Finally, we also study the effect of temperature on the broadening of the obtained IR spectra peaks in larger nanosilicate grains with a range of crystallinities. In this case, less computationally costly classical molecular dynamics simulations are necessary due to the large number of atoms involved. Generally, we find that although DFT-based methods are more accurate, surprisingly good IR spectra can also be obtained from classical molecular dynamics calculations.

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36

Lee, K. A. Bunding, Richard W. Chylla, and Timothy E. Janota. "Determination of Hydroxyl Number in Polymers by Infrared Spectroscopy: Comparison of Near-IR and Mid-IR." Applied Spectroscopy 47, no. 1 (January 1993): 94–97. http://dx.doi.org/10.1366/0003702934048460.

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A comparison of near-infrared (NIR) and mid-infrared (mid-IR) techniques for the determination of hydroxyl number in polyesters was made. Both of these analyses are faster and involve less exposure to irritating, highly toxic, and corrosive chemicals than the chemical analysis, although both techniques rely on developing calibration files. The mid-IR procedure consisted of making thin films of polymer on IR crystals by spin coating and taking transmission spectra. The program used for the analysis, Nicolet PLS Quant, compensated for the resulting indeterminate pathlength. The NIR procedure consisted of taking transmission spectra of the clear, viscous polymers in 4-mm cuvettes and using standard regression analysis of the spectra.

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37

Borovikova, Elena Yu, Victoria Kurazhkovskaya, Dmitriy Ksenofontov, Yuriy Kabalov, Vladimir Pet'kov, and Elena Asabina. "Relationship between IR spectra and crystal structures of β-tridymite-like CsM2+PO4 compounds." European Journal of Mineralogy 24, no. 5 (September 26, 2012): 777–82. http://dx.doi.org/10.1127/0935-1221/2012/0024-2209.

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38

Vazhev, V. V. "Prediction of olefin IR spectra reasoning from their mass spectra." Journal of Structural Chemistry 46, no. 2 (March 2005): 243–47. http://dx.doi.org/10.1007/s10947-006-0037-x.

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39

Mausbach, Klaus, Norbert Nowack, and Franz Schlegelmilch. "Comparison between IR-emission spectra of CaO - Al2O3-melts (1873 K) and IR-absorption spectra (293 K)." Berichte der Bunsengesellschaft für physikalische Chemie 98, no. 2 (February 1994): 257–59. http://dx.doi.org/10.1002/bbpc.19940980221.

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40

Noda, I., A. E. Dowrey, and C. Marcott. "Recent Developments in Two-Dimensional Infrared (2D IR) Correlation Spectroscopy." Applied Spectroscopy 47, no. 9 (September 1993): 1317–23. http://dx.doi.org/10.1366/0003702934067513.

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Recent developments in two-dimensional infrared (2D IR) correlation spectroscopy are reviewed. Since the initial introduction of the basic concept seven years ago, the field of 2D IR spectroscopy has evolved considerably. The method for generating 2D IR spectra from perturbation-induced time-dependent fluctuations of IR intensities and the properties of such 2D spectra are summarized first. Applications of 2D IR spectroscopy are then surveyed, and improvements in the instrumentation are reviewed. Different types of external perturbation schemes capable of inducing dynamic fluctuations of IR spectra are listed. Finally, a new 2D correlation method for dynamic spectral data with arbitrary time-dependence is discussed.

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41

Matsumoto, Yoshiteru, and Souichi Tezuka. "Two-Dimensional Correlation Spectroscopy (2D-COS) of Gas-Phase Pyrrole Clusters in a Supersonic Jet: Treatment of Sharp Bands on a Broad Background." Applied Spectroscopy 74, no. 4 (January 28, 2020): 408–16. http://dx.doi.org/10.1177/0003702819892030.

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Two-dimensional correlation spectroscopy (2D-COS) is a useful technique to analyze any intensity behavior of optical spectra that exhibit a complicated feature with overlapped bands. In this study, we apply 2D-COS to the infrared (IR) spectra of gas-phase pyrrole (Py) clusters. The NH stretching vibrations of the Py clusters are measured by cavity ringdown spectroscopy. The observed IR spectra of the Py clusters consist of sharp bands, full width half-maximum (FWHM) ∼1 cm−1, and a broad background (FWHM >50 cm−1). The 2D asynchronous correlation spectra reveal that the sharp bands and a broad background are assigned to small clusters of dimer to pentamer and large clusters with bulk-like structures, respectively, which support the results of our previous study. The sharp bands are also analyzed using another 2D asynchronous correlation spectrum, which is obtained by decomposing the observed IR spectra into sharp and broad components. Because the asynchronous signals are consistent with those obtained from the IR spectra without decomposition, the result would suggest that we need not to decompose the IR spectra into sharp and broad components before applying 2D-COS. However, our model simulations of 2D-COS showed a counterexample that gives an incorrect result without removing a broad background component from the IR spectra. This study strongly suggests that we need to undertake a careful treatment of the complicated IR spectrum with various widths of bands.

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42

Shubert, V. Alvin, and Timothy S. Zwier. "IR−IR−UV Hole-Burning: Conformation Specific IR Spectra in the Face of UV Spectral Overlap." Journal of Physical Chemistry A 111, no. 51 (December 2007): 13283–86. http://dx.doi.org/10.1021/jp0775606.

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43

Diem, Max, Luis Chiriboga, Peter Lasch, and Anthony Pacifico. "IR spectra and IR spectral maps of individual normal and cancerous cells." Biopolymers 67, no. 4-5 (2002): 349–53. http://dx.doi.org/10.1002/bip.10109.

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44

Piottukh-Peletskii, V. N., T. F. Bogdanova, and B. G. Derendyaev. "Complete sets of structure fragments for interpreting IR spectra using IR databases." Journal of Structural Chemistry 37, no. 2 (March 1996): 323–31. http://dx.doi.org/10.1007/bf02591063.

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45

Maltseva, Elena, Cameron J. Mackie, Alessandra Candian, Annemieke Petrignani, Xinchuan Huang, Timothy J. Lee, Alexander G. G. M. Tielens, Jos Oomens, and Wybren Jan Buma. "High-resolution IR absorption spectroscopy of polycyclic aromatic hydrocarbons in the 3 μm region: role of hydrogenation and alkylation." Astronomy & Astrophysics 610 (February 2018): A65. http://dx.doi.org/10.1051/0004-6361/201732102.

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Aim. We aim to elucidate the spectral changes in the 3 μm region that result from chemical changes in the molecular periphery of polycyclic aromatic hydrocarbons (PAHs) with extra hydrogens (H-PAHs) and methyl groups (Me-PAHs). Methods. Advanced laser spectroscopic techniques combined with mass spectrometry were applied on supersonically cooled 1,2,3,4-tetrahydronaphthalene, 9,10-dihydroanthracene, 9,10-dihydrophenanthrene, 1,2,3,6,7,8-hexahydropyrene, 9-methylanthracene, and 9,10-dimethylanthracene, allowing us to record mass-selective and conformationally selective absorption spectra of the aromatic, aliphatic, and alkyl CH-stretches in the 3.175 − 3.636 µm region with laser-limited resolution. We compared the experimental absorption spectra with standard harmonic calculations and with second-order vibrational perturbation theory anharmonic calculations that use the SPECTRO program for treating resonances. Results. We show that anharmonicity plays an important if not dominant role, affecting not only aromatic, but also aliphatic and alkyl CH-stretch vibrations. The experimental high-resolution data lead to the conclusion that the variation in Me- and H-PAHs composition might well account for the observed variations in the 3 μm emission spectra of carbon-rich and star-forming regions. Our laboratory studies also suggest that heavily hydrogenated PAHs form a significant fraction of the carriers of IR emission in regions in which an anomalously strong 3 μm plateau is observed.

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46

Kim, Kang-Jae, and Tae-Jin Eom. "Classification of papers using IR and NIR spectra and principal component analysis." Journal of Korea Technical Association of The Pulp and Paper Industry 48, no. 1 (February 28, 2016): 34–42. http://dx.doi.org/10.7584/ktappi.2016.48.1.034.

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47

Sullivan, David H., W. Curtis Conner, and Michael P. Harold. "Surface Analysis with FT-IR Emission Spectroscopy." Applied Spectroscopy 46, no. 5 (May 1992): 811–18. http://dx.doi.org/10.1366/0003702924124844.

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The technique of infrared emission spectroscopy (IRES) is reviewed and further examined in this study as a surface analysis tool. A system has been designed which allows simultaneous kinetic and in situ infrared emission analysis of catalyst surfaces. IRES spectra of several gas mixture/solid systems are obtained in order to examine sample preparation and spectra processing issues; these systems include Pt/Al2O3 exposed to CO and CO-NO mixtures, an oxidized copper plate, and a zeolite exposed to inert atmospheres. For the temperature range of importance to catalysis (300–600 K), IRES is limited to frequencies less than 2500 cm−1. However, IRES is especially well suited for studying solid-state vibrational modes (<1000 cm−1). Moreover, IRES allows catalyst samples to be studied without dilution or extensive sample preparation. The thin samples required for IRES make it possible to study both surface adsorbate and the solid-state lattice vibrations simultaneously. This information can provide useful insight into the interpretation of kinetic data of reactions on metal oxide catalysts. However, samples which are too thick or are supported on a high-emissivity surface will not yield satisfactory spectra. Two correction techniques are examined which reduce background and sample-reflectance effects in the emission spectra. Some of the IRES data are compared to the corresponding spectra obtained by transmission and diffuse-reflectance spectroscopy. IRES is shown to be competitive with these more popular techniques for IR surface analysis.

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48

Bellamy, M. K., A. N. Mortensen, R. M. Hammaker, and W. G. Fateley. "Chemical Mapping in the Mid- and Near-IR Spectral Regions by Hadamard Transform/FT-IR Spectrometry." Applied Spectroscopy 51, no. 4 (April 1997): 477–86. http://dx.doi.org/10.1366/0003702971940747.

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A movable two-dimensional (2D) Hadamard encoding mask is obtained and combined with conventional FT-IR spectrometers for use in both the mid- and near-infrared spectral regions. Chemical maps and spectra of individual pixels of the maps can be obtained from heterogeneous samples by using this combination of a move-able 2D Hadamard encoding mask and an FT-IR spectrometer. We call the procedure Hadamard transform/FT-IR spectrometry. Spectra of usable signal-to-noise ratio and reliable chemical maps are obtained in reasonable data acquisition and processing time.

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49

Fleyfel, Fouad, and J. Paul Devlin. "FT-IR spectra of carbon dioxide clusters." Journal of Physical Chemistry 93, no. 21 (October 1989): 7292–94. http://dx.doi.org/10.1021/j100358a005.

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50

Rozenberg, Mark, Aharon Loewenschuss, and Yizhak Marcus. "IR spectra and hydrogen bonding in tetritols." Carbohydrate Research 304, no. 2 (November 1997): 183–86. http://dx.doi.org/10.1016/s0008-6215(97)00244-9.

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