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Journal articles on the topic 'Differential scanning calorimetry'

To see the other types of publications on this topic, follow the link: Differential scanning calorimetry.

Author: Grafiati

Published: 4 June 2021

Last updated: 17 November 2023

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1

Samuni, A. M., D. J. A. Crommelin, N. J. Zuidam, and Y. Barenholz. "Differential scanning calorimetry." Journal of Thermal Analysis and Calorimetry 51, no. 1 (January 1998): 37–48. http://dx.doi.org/10.1007/bf02719009.

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2

Quitzsch, K. "Differential Scanning Calorimetry." Zeitschrift für Physikalische Chemie 203, Part_1_2 (January 1998): 259–60. http://dx.doi.org/10.1524/zpch.1998.203.part_1_2.259a.

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3

Tachoire, H., and V. Torra. "New trends in differential scanning calorimetry." Canadian Journal of Chemistry 67, no. 6 (June 1, 1989): 983–90. http://dx.doi.org/10.1139/v89-150.

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Recent applications of differential scanning calorimetry in the study of solid–solid transformations are presented. The importance of the deconvolution of the thermograms and of the modelling of the calorimetric equipment is stressed.Investigations of the phase transformations of the martensitic type in shape-memory alloys have made clear the influence of thermomechanical treatment of the material and have evaluated the influence of defects on the dynamics of transformation. A combination of calorimetric and acoustical observations has demonstrated irreversibilities, even in the so-called thermoelastic transitions. Keywords: martensitic transformation, differential scanning calorimetry, entropy production, thermomechanical treatments, acoustic emission.

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4

Hourston, D. J., M. Song, H. M. Pollock, and A. Hammiche. "Modulated differential scanning calorimetry." Journal of thermal analysis 49, no. 1 (July 1997): 209–18. http://dx.doi.org/10.1007/bf01987441.

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5

Gill, P. S., S. R. Sauerbrunn, and M. Reading. "Modulated differential scanning calorimetry." Journal of Thermal Analysis 40, no. 3 (September 1993): 931–39. http://dx.doi.org/10.1007/bf02546852.

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6

Sandu, Constantine, and Rakesh K. Singh. "Modeling differential scanning calorimetry." Thermochimica Acta 159 (January 1990): 267–98. http://dx.doi.org/10.1016/0040-6031(90)80115-f.

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7

Reading, M., A. Luget, and R. Wilson. "Modulated differential scanning calorimetry." Thermochimica Acta 238 (June 1994): 295–307. http://dx.doi.org/10.1016/s0040-6031(94)85215-4.

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8

Marti, E., E. Kaisersberger, and E. Füglein. "Multicycle differential scanning calorimetry." Journal of Thermal Analysis and Calorimetry 101, no. 3 (May 19, 2010): 1189–97. http://dx.doi.org/10.1007/s10973-010-0851-4.

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9

Cser, F., F. Rasoul, and E. Kosior. "Modulated Differential Scanning Calorimetry." Journal of thermal analysis 50, no. 5-6 (December 1997): 727–44. http://dx.doi.org/10.1007/bf01979203.

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10

Roussel, F., and J. M. Buisine. "Modulated differential scanning calorimetry." Journal of Thermal Analysis 47, no. 3 (September 1996): 715–25. http://dx.doi.org/10.1007/bf01981806.

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11

Hatta, Ichiro. "AC calorimetric aspect of dynamic differential scanning calorimetry." Thermochimica Acta 272 (January 1996): 49–52. http://dx.doi.org/10.1016/0040-6031(95)02619-3.

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12

Dranca, Ion, and Tudor Lupascu. "Implications of Global and Local Mobility in Amorphous Excipients as Determined by DSC and TM DSC." Chemistry Journal of Moldova 4, no. 2 (December 2009): 105–15. http://dx.doi.org/10.19261/cjm.2009.04(2).02.

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The paper explores the use of differential scanning calorimetry (DSC) and temperature modulated differential scanning calorimetry (TM DSC) to study α- and β- processes in amorphous sucrose and trehalose. The real part of the complex heat capacity is evaluated at the frequencies, f, from 5 to 20mHz. β-relaxations were studied by annealing glassy samples at different temperatures and subsequently heating at different rates in a differential scanning calorimeter.

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13

ISHIKIRIYAMA, KAZUHIKO. "Temperature Modulated Differential Scanning Calorimetry." FIBER 65, no. 11 (2009): P.428—P.432. http://dx.doi.org/10.2115/fiber.65.p_428.

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14

Chagovetz, Alexis A., Colette Quinn, Neil Damarse, Lee D. Hansen, Alexander M. Chagovetz, and Randy L. Jensen. "Differential Scanning Calorimetry of Gliomas." Neurosurgery 73, no. 2 (April 25, 2013): 289–95. http://dx.doi.org/10.1227/01.neu.0000430296.23799.cd.

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Abstract BACKGROUND: Thermal stability signatures of complex molecular interactions in biological fluids can be measured using differential scanning calorimetry (DSC). Evaluating the thermal stability of plasma proteomes offers a method of producing a disease-specific “signature” (thermogram) in neoplastic and autoimmune diseases. OBJECTIVE: The authors describe the use of DSC with human brain tumor tissue to create unique thermograms for correlation with histological tumor classification. METHODS: Primary brain tumors were classified according to the World Health Organization classification. Tumor samples were digested and assayed by a DSC calorimeter. Experimental thermograms were background subtracted and normalized to the total area of transitions to exclude concentration effects. The resulting thermograms were analyzed by applying 2-state, scaled, Gaussian distributions. RESULTS: Differences in glioma-specific signatures are described by using calculated parameters at transitions that are characterized, in the equilibrium approximation, by a melting temperature (Tm), an apparent enthalpy change (ΔH), and a scaling factor related to the relative abundance of the materials denatured in the transition (Aw). Thermogram signatures of glioblastoma multiforme and low-grade astrocytomas were differentiated by calculated values of Aw3 and Tm4, those of glioblastoma multiforme and oligodendrogliomas were differentiated by Aw2, ΔH2, ΔH4, and Tm4, and those of low-grade astrocytomas and oligodendroglioma were differentiated by Aw4. CONCLUSION: Our preliminary results suggest that solid brain tumors exhibit specific thermogram profiles that are distinguishable among glioma grades. We anticipate that our results will form the conceptual base of a novel diagnostic assay based on tissue thermograms as a complement to currently used histological analysis.

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15

Miles, C. A., B. M. Mackey, and S. E. Parsons. "Differential Scanning Calorimetry of Bacteria." Microbiology 132, no. 4 (April 1, 1986): 939–52. http://dx.doi.org/10.1099/00221287-132-4-939.

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16

Van Hemelrijck, A., and B. Van Mele. "Modulated temperature differential scanning calorimetry." Journal of thermal analysis 49, no. 1 (July 1997): 437–42. http://dx.doi.org/10.1007/bf01987467.

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17

Van Assche, G., A. Van Hemelrijck, and B. Van Mele. "Modulated temperature differential scanning calorimetry." Journal of thermal analysis 49, no. 1 (July 1997): 443–47. http://dx.doi.org/10.1007/bf01987468.

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18

Lukas, Kevin, and Peter K. LeMaire. "Differential scanning calorimetry: Fundamental overview." Resonance 14, no. 8 (August 2009): 807–17. http://dx.doi.org/10.1007/s12045-009-0076-7.

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19

Kurihama, Tadashi, Takatoshi Izumi, and Shozo Sawada. "Differential Scanning Calorimetry on LiRbSO4." Journal of the Physical Society of Japan 55, no. 7 (July 15, 1986): 2469–70. http://dx.doi.org/10.1143/jpsj.55.2469.

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20

Perrenot, Béatrice, and Georg Widmann. "Polymorphism by differential scanning calorimetry." Thermochimica Acta 234 (March 1994): 31–39. http://dx.doi.org/10.1016/0040-6031(94)85133-6.

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21

Krüger, Jan, Wolfgang Manglkammer, Andrä le Coutre, and Patrick Mesquida. "Differential scanning calorimetry and temperature-modulated differential scanning calorimetry: an extension to lower temperatures." High Temperatures-High Pressures 32, no. 4 (2000): 479–85. http://dx.doi.org/10.1068/htwu580.

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22

Stępień, Piotr, Zbigniew Rusin, and Karol Skowera. "Cement Mortar Porosity by Modified Analysis of Differential Scanning Calorimetry Records." Materials 13, no. 5 (February 28, 2020): 1080. http://dx.doi.org/10.3390/ma13051080.

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A modified method of interpreting a heat flux differential scanning calorimetry records in pore structure determination is presented. The method consists of determining the true phase transition energy distribution due to the melting of water during a differential scanning calorimetry (DSC) heating run. A set of original apparatus functions was developed to approximate the recorded calorimetric signals to the actual processes of the water phase transition at a given temperature. The validity of the proposed calorimetric curves-based algorithm was demonstrated through tests on a cement mortar sample. The correct analysis required taking into account both the thermal inertia of the calorimeter and the thermal effects that are associated with water transitions over the fairly narrow temperature ranges close to 0 °C. When evaluating energy distribution without taking the shifts of the proposed modified algorithm into account, the volume of the pores with radii bigger than 20 nm was greatly overestimated, while that of the smaller pores (rp < 20 nm) was underestimated, in some cases by approximately 70%.

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23

Hatta, Ichiro. "Compatibility of Differential Scanning Calorimetry and ac Calorimetry." Japanese Journal of Applied Physics 33, Part 2, No. 5A (May 1, 1994): L686—L688. http://dx.doi.org/10.1143/jjap.33.l686.

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24

Menard, Kevin, Witold Brostow, and Noah Menard. "Photodegradation of Pharmaceuticals Studied with UV Irradiation and Differential Scanning Calorimetry." Chemistry & Chemical Technology 5, no. 4 (December 15, 2011): 385–88. http://dx.doi.org/10.23939/chcht05.04.385.

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25

Spivak L. V., Kirchanov V. S., and Shchepina N. E. "Polymorphic transformations in iodine titanium." Physics of the Solid State 64, no. 11 (2022): 1784. http://dx.doi.org/10.21883/pss.2022.11.54208.400.

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Based on the analysis of differential scanning calorimetry data, the possibility of classifying the observed endothermic or exothermic transformations as phase transformations of the first oder is considered. Two approaches have been implemented. The first is based on the correspondence between the temperatures of the maximum conversion rate and the temperatures of the extrema on the second derivative of the differential scanning calorimetry signal with respect to temperature. In the second approach, the phase transformation is considered as a kind of kinetic reaction of a chemical process with the determination of some parameters included in the kinetic equations. In this case, the order parameter of such reaction n is obtained from the analysis of the differential scanning calorimetry signal shape in the region of phase transformation registration temperatures. Using the example of experiments carried out during thermal cycling of titanium iodide samples, it is shown that both the first and second approaches make it possible to fairly adequately attribute the processes that cause calorimetric effects on the dependences of differential scanning calorimetry to first-order phase transitions. In particular, the obtained results of differential scanning calorimetry during heating and cooling of iodide titanium show that polymorphic transformations in it are realized by various mechanisms depending on the rate of thermal cycling and the thermal history of the metal. Keywords: activation energy, titanium, calorimetry, polymorphism, structure, approximation.

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26

Saranov, Igor' Aleksandrovich, Oleg Borisovich Rudakov, Konstantin Konstantinovich Polyansky, Natal'ya Leonidovna Kleymenova, and Aleksey Valer'yevich Vetrov. "DIFFERENTIAL SCANNING CALORIMETRY OF LIQUID VEGETABLE." chemistry of plant raw material, no. 4 (December 21, 2020): 157–64. http://dx.doi.org/10.14258/jcprm.2020047603.

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The thermophysical properties of vegetable oils were studied by differential scanning calorimetry method was used to study the fatty acid composition of vegetable oils liquid at room temperature, such as amaranth (Amaránthus), corn (Zea mays), flax (Línum usitatíssimum), sunflower (Helianthus), rape (Brusss napor), milk thistle (Sílybum mariánum), saffron milk cap (Camelina sativa) and pumpkin (Cucurbita pepo). The temperatures of the endothermic peak maxima and their area on the DSC thermograms of these oils were established as characteristic thermal effects. The interconnection between thermal effects and fatty acid composition are revealed. On the melting curves of liquid vegetable oils, up to 5 endothermic peaks of different intensities were selected in the ranges -80÷-55 °C, -40÷-15 °C, -25÷-8 °C, -19÷+6 °C and -10÷+4 °C. The coordinates of the maxima of these peaks (Ti) and their area (Si) significantly correlate with the content (Wi,%) in the oils, primarily oleic, linoleic and linolenic acids, the total proportion of which in oils is from 75 to 92%. Using the DSC thermograms of rapeseed oil as an example, it is shown that the program separation of DSC peaks allows a multiple increase in the number of analytical signals, an increase in the reliability of identification of the fat phase, and identification of the main fractions of triglycerides. DSC as a method for identifying vegetable oils using modern thermal analysis instruments is simple to sample, has good reproducibility and can be an independent method for identifying and controlling the quality of vegetable oils.

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27

Spivak, Lev V., Vladimir A. Naumov, Ksenia I. Plyusnina, and Nadezhda E. Shchepina. "Differential scanning calorimetry of natural gold." ВЕСТНИК ПЕРМСКОГО УНИВЕРСИТЕТА. ФИЗИКА, no. 1 (2022): 44–48. http://dx.doi.org/10.17072/1994-3598-2022-1-44-48.

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Differential scanning calorimetry of gold samples from various natural deposits was carried out. It is shown that such thermodynamic parameters as enthalpy and entropy of melting and crystallization processes can correlate with the genesis of their formation. Previously unknown features on the temperature dependences of the heat capacity were discovered. It is suggested that their occurrence is due to the concentration heterogeneity in the distribution of the accompanying elements present in natural gold.

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28

NAKASONE, Sanae, Sugako OSHIRO, Hiroyuki NAKA, and Toshio UCHIHARA. "Differential scanning calorimetry of aged Awamori." JOURNAL OF THE BREWING SOCIETY OF JAPAN 99, no. 10 (2004): 750–57. http://dx.doi.org/10.6013/jbrewsocjapan1988.99.750.

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29

Spivak, L. V., Y. N. Simonov, and M. A. Dyshlyuk. "Differential scanning calorimetry: new experimental features." Вестник Пермского университета. Физика, no. 3 (2019): 52–57. http://dx.doi.org/10.17072/1994-3598-2019-3-52-57.

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30

Sturtevant, J. M. "Biochemical Applications of Differential Scanning Calorimetry." Annual Review of Physical Chemistry 38, no. 1 (October 1987): 463–88. http://dx.doi.org/10.1146/annurev.pc.38.100187.002335.

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31

Callanan, J. E., S. A. Sullivan, and D. F. Vecchia. "STANDARDS DEVELOPMENT FOR DIFFERENTIAL SCANNING CALORIMETRY." Journal of Research of the National Bureau of Standards 91, no. 3 (May 1986): 123. http://dx.doi.org/10.6028/jres.091.019.

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32

GUZMA-CASADO, Mercedes, Antonio PARODY-MORREALE, Pedro L. MATEO, and Jose M. SANCHEZ-RUIZ. "Differential scanning calorimetry of lobster haemocyanin." European Journal of Biochemistry 188, no. 1 (February 1990): 181–85. http://dx.doi.org/10.1111/j.1432-1033.1990.tb15386.x.

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33

Zheng, Qiuju, Yanfei Zhang, Maziar Montazerian, Ozgur Gulbiten, John C. Mauro, Edgar D. Zanotto, and Yuanzheng Yue. "Understanding Glass through Differential Scanning Calorimetry." Chemical Reviews 119, no. 13 (May 23, 2019): 7848–939. http://dx.doi.org/10.1021/acs.chemrev.8b00510.

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34

Yang, Lu, and Shun Hong Lin. "City Sludge’s Differential Scanning Calorimetry Analysis." Advanced Materials Research 989-994 (July 2014): 2791–95. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.2791.

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The differential scanning calorimetry is a thermal analysis. Under program controlled temperature, measure and input to the relationship between the the sample and the reference’s power difference and temperature. The curve which the differential scanning calorimetry recorded called DSC curve. DSC curve in the sample’s rate of endothermic or exothermic as ordinate and in temperature or time as abscissa, which can determine a variety of thermodynamic and dynamics parameters, such as specific heat capacity, the reaction heat, thermal changes, phase diagram, reaction rate, rate of crystallization, polymer crystallinity, purity of a sample,etc. The method has a wide temperature range-175 ~ 725 °C, high resolution, less samples . This topic utilizes differential scanning calorimetry and had a pyrolysis experimental analysis for urban sludge. Due to the rapid development of technology and analyzer’s constant improvement, and computer technology’s speedy development, DSC plays an increasing role in the sludge treatment field.

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35

Wilson, P. W., J. W. Arthur, and A. D. J. Haymet. "Ice Premelting during Differential Scanning Calorimetry." Biophysical Journal 77, no. 5 (November 1999): 2850–55. http://dx.doi.org/10.1016/s0006-3495(99)77116-x.

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36

Herrero-Albillos, J., F. Casanova, F. Bartolomé, L. M. García, A. Labarta, and X. Batlle. "Differential scanning calorimetry experiments in RCo2." Journal of Magnetism and Magnetic Materials 290-291 (April 2005): 682–85. http://dx.doi.org/10.1016/j.jmmm.2004.11.336.

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37

CHOWDHRY, B. "Differential scanning calorimetry: applications in biotechnology." Trends in Biotechnology 7, no. 1 (January 1989): 11–18. http://dx.doi.org/10.1016/0167-7799(89)90072-3.

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38

Price, D., G. V. Coleman, and A. R. Horrocks. "Use of cyclic differential scanning calorimetry." Journal of Thermal Analysis 40, no. 2 (August 1993): 649–56. http://dx.doi.org/10.1007/bf02546636.

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39

Sandu, Constantine, and Rakesh K. Singh. "Physical transformations in differential scanning calorimetry." Thermochimica Acta 132 (September 1988): 89–99. http://dx.doi.org/10.1016/0040-6031(88)87098-9.

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40

Silva, Sara Anunciação Braga, Maria Cláudia Este De Araújo, Juliana Neves Rodrigues Ract, and Michele Vitolo. "Differential scanning calorimetry study on caprylins." Journal of Thermal Analysis and Calorimetry 120, no. 1 (January 30, 2015): 711–17. http://dx.doi.org/10.1007/s10973-015-4409-3.

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41

Richardson, M. J. "Quantitative aspects of differential scanning calorimetry." Thermochimica Acta 300, no. 1-2 (October 1997): 15–28. http://dx.doi.org/10.1016/s0040-6031(97)00188-3.

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42

Bershtein, V. A., A. G. Sirota, and L. M. Egorova. "Differential scanning calorimetry of irradiated polymers." Journal of Thermal Analysis 38, no. 5 (May 1992): 1215–31. http://dx.doi.org/10.1007/bf01979181.

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43

Chang, S. S. "Temperature gradient in differential scanning calorimetry." Thermochimica Acta 178 (April 1991): 195–201. http://dx.doi.org/10.1016/0040-6031(91)80310-f.

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44

Mohan, Rajeev, Heike Lorenz, and Allan S. Myerson. "Solubility Measurement Using Differential Scanning Calorimetry." Industrial & Engineering Chemistry Research 41, no. 19 (September 2002): 4854–62. http://dx.doi.org/10.1021/ie0200353.

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45

Shanks, Robert A., and Christine N. Smith. "Differential Scanning Calorimetry of Stressed Polymers." British Polymer Journal 18, no. 2 (March 1986): 72–74. http://dx.doi.org/10.1002/pi.4980180203.

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46

Clausse, Danièle. "Differential thermal analysis, differential scanning calorimetry, and emulsions." Journal of Thermal Analysis and Calorimetry 101, no. 3 (February 27, 2010): 1071–77. http://dx.doi.org/10.1007/s10973-010-0712-1.

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47

Спивак, Л. В., В. С. Кирчанов, and Н. Е. Щепина. "Полиморфные превращения в йодидном титане." Физика твердого тела 64, no. 11 (2022): 1820. http://dx.doi.org/10.21883/ftt.2022.11.53341.400.

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Based on the analysis of differential scanning calorimetry data, the possibility of classifying the observed endothermic or exothermic transformations as phase transformations of the first oder is considered. Two approaches have been implemented. The first is based on the correspondence between the temperatures of the maximum conversion rate and the temperatures of the extrema on the second derivative of the differential scanning calorimetry signal with respect to temperature. In the second approach, the phase transformation is considered as a kind of kinetic reaction of a chemical process with the determination of some parameters included in the kinetic equations. In this case, the order parameter of such reaction n is obtained from the analysis of the differential scanning calorimetry signal shape in the region of phase transformation registration temperatures. Using the example of experiments carried out during thermal cycling of titanium iodide samples, it is shown that both the first and second approaches make it possible to fairly adequately attribute the processes that cause calorimetric effects on the dependences of differential scanning calorimetry to first-order phase transitions. In particular, the obtained results of differential scanning calorimetry during heating and cooling of iodide titanium show that polymorphic transformations in it are realized by various mechanisms depending on the rate of thermal cycling and the thermal history of the metal.

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48

Shulga, Oksana, Anastasia Chorna, and Sergij Kobylinskyi. "Differential scanning calorimetry research of biodegradable films for confectionery and bakery products." Chemistry & Chemical Technology 11, no. 4 (December 20, 2017): 492–96. http://dx.doi.org/10.23939/chcht11.04.492.

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49

Leyva-Porras, César, Pedro Cruz-Alcantar, Vicente Espinosa-Solís, Eduardo Martínez-Guerra, Claudia I. Piñón-Balderrama, Isaac Compean Martínez, and María Z. Saavedra-Leos. "Application of Differential Scanning Calorimetry (DSC) and Modulated Differential Scanning Calorimetry (MDSC) in Food and Drug Industries." Polymers 12, no. 1 (December 18, 2019): 5. http://dx.doi.org/10.3390/polym12010005.

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Phase transition issues in the field of foods and drugs have significantly influenced these industries and consequently attracted the attention of scientists and engineers. The study of thermodynamic parameters such as the glass transition temperature (Tg), melting temperature (Tm), crystallization temperature (Tc), enthalpy (H), and heat capacity (Cp) may provide important information that can be used in the development of new products and improvement of those already in the market. The techniques most commonly employed for characterizing phase transitions are thermogravimetric analysis (TGA), dynamic mechanical analysis (DMA), thermomechanical analysis (TMA), and differential scanning calorimetry (DSC). Among these techniques, DSC is preferred because it allows the detection of transitions in a wide range of temperatures (−90 to 550 °C) and ease in the quantitative and qualitative analysis of the transitions. However, the standard DSC still presents some limitations that may reduce the accuracy and precision of measurements. The modulated differential scanning calorimetry (MDSC) has overcome some of these issues by employing sinusoidally modulated heating rates, which are used to determine the heat capacity. Another variant of the MDSC is the supercooling MDSC (SMDSC). SMDSC allows the detection of more complex thermal events such as solid–solid (Ts-s) transitions, liquid–liquid (Tl-l) transitions, and vitrification and devitrification temperatures (Tv and Tdv, respectively), which are typically found at the supercooling temperatures (Tco). The main advantage of MDSC relies on the accurate detection of complex transitions and the possibility of distinguishing reversible events (dependent on the heat capacity) from non-reversible events (dependent on kinetics).

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50

Iso, Naomichi, Haruo Mizuno, Hiroo Ogawa, Yoshinori Mochizuki, and Norio Masuda. "Differential scanning calorimetry on fish meat paste." NIPPON SUISAN GAKKAISHI 57, no. 2 (1991): 337–40. http://dx.doi.org/10.2331/suisan.57.337.

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