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The potentiometric electronic tongue is a new and rapidly developing technique. However, the description of the exact working mechanism is still absent. An important part of this description is the effect of the sample temperature on the measurement results. The paper reported here gives a description of the effect of temperature on results obtained with an α-Astree potentiometric electronic tongue. The yielded model was used to perform a temperature correction as if the samples were measured at room temperature (25 °c).

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Abstract  

Dielectric experiments are often performed in non-isothermal conditions. Thus, there is a difference between the temperature of the sample and the sensor temperature. In this work we propose and compare three temperature calibration methods based on the detection of transitions or relaxations: i) the melting of high-purity metallic standards (indium and tin), ii) the 2nd order phase transition of a ferroelectric crystal (TGS); iii) the -relaxation of an amorphous polymer (poly(carbonate)). The results obtained from the three different methods were used to construct a calibration curve for a given heating rate.

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) Vägoch Transportforskningsinstitut , Neddelande 916, The Netherlands, 2001 . [24] SHRP procedure for temperature correction of maximum deflections , Strategic Highway Research Program

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Abstract  

Measurement of lifetime along with measurement of intensity allow to determine both uranium and plutonium concentrations. If exciting light absorption is taken into account and temperature correction is introduced the intensity of uranyl limunescence extrapolated to zero time is a function of uranium and the ratior 0/r-a function of plutonium concentration. Stadi of characteristics of uranyl luminescence was performed using a spectrometer interfased with a microcomputer. Luminescence was excited by nitrogen laser.

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Summary  

This research has demonstrated that the dielectric method can be used successfully for grain moisture measurements for diverse grain types over wide ranges of temperatures if the grain moisture content is below certain (grain-specific) threshold values. These high-moisture limits were estimated. Optimum temperature correction coefficients for 149 MHz moisture measurements were determined for grain samples at different moisture levels. This information should be very helpful for grain moisture meter manufacturers and for moisture meter users who need to determine grain moisture contents at temperature extremes to be able to market grain more efficiently.

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The Unified Grain Moisture Algorithm is capable of improved accuracy and allows the combination of many grain types into a single “unified calibration”. The purposes of this research were to establish processes for determining unifying parameters from the chemical and physical properties of grains. The data used in this research were obtained as part of the United States Department of Agriculture-Grain Inspection, Packers and Stockyards Administration's Annual Moisture Calibration Study. More than 5,000 grain samples were tested with a Hewlett-Packard 4291A Material/Impedance Analyzer. Temperature tests were done with a Very High Frequency prototype system at Corvinus University of Budapest. Typical chemical and physical parameters for each of the major grain types were obtained from the literature. Data were analyzed by multivariate chemometric methods. One of the most important unifying parameters (Slope) and the temperature correction coefficient were successfully modeled. The Offset and Translation unifying parameters were not modeled successfully, but these parameters can be estimated relatively easily through limited grain tests.

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software. A pure iridium metal standard was used to determine a temperature-correction factor which was used for all runs. Pyrolysis combustion flow calorimetry PCFC was performed using a Govmark microscale combustion

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Journal of Thermal Analysis and Calorimetry
Authors: Cornelia Marinescu, Ancuta Sofronia, Cristina Rusti, Roxana Piticescu, Viorel Badilita, Eugeniu Vasile, Radu Baies and Speranta Tanasescu

Au), were used for temperature correction and energy calibration. Heat capacities were determined by performing three consecutive experiments in identical conditions, namely the same heating rate (10 °C/min), same gas flow, Ar, at a rate of

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ZPVE and temperature corrections between the TS and the corresponding reactant, respectively [ 22 ]. Comparison with experimental values shows better agreement at the MPW1PW91/6-31++G** level of theory. A NICS study and NBO [ 23 ] analysis were also

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temperature corrections for thermal lag in case of heating experiments as function of sample mass and scan rate should be established. Both items facilitate making of the right choices before doing the actual measurement instead of just correcting afterwards

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