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EN
In geotechnical engineering practice, studying the characteristics of rock electrical resistivity under different physical and mechanical environments is important for improving the accuracy of unfavorable geological condition detection. In this study, Dali marble and granite were subjected to cyclic loading and unloading at different peak pressures, and the electrical resistivity of the core samples was continuously monitored. The aim was to derive the electrical resistivity variation patterns of two rocks under cyclic loading and unloading. Then, the theoretical models of electrical resistivity for the two rocks were established through theoretical derivation, and the model equations were consistent with the experimental findings. Finally, a MATLAB program was used for nonlinear fitting of the unloading phase electrical resistivity variation patterns of the rocks to reveal the quantified pressure-electrical resistivity patterns of the two rocks with different lithologies. Based on this, well-performing rock pressure-electrical resistivity relationship models were developed with three parameters: pressure, water content and electrical resistivity. The experimental results can significantly improve the accuracy of stratigraphic state inversion and unfavorable body boundary identification by providing realistic electrical resistivity constraints for electrical resistivity tomography.
EN
However, the infrared radiation has been discovered more than 200 years ago, near-infrared spectroscopy (NIRS), as a useful method, was recognized in the 1960s. Currently, under the influence of technological development, quantitative and qualitative methods require short time and precision of measurements. NIRS has a growing recognition in the industry, particularly pharmaceutical where each component of the finished product has impact on the quality and safety of the product. Freeze-dried immunological veterinary medicinal products (IVMPs), despite high specificity, contain not too complicated matrices for analysis. Karl Fischer titration is routinely used as accurate and effective method to determine the water content in the IVMPs, but the use of near-infrared spectroscopy allows to avoid the adverse impact of environmental factors on the measurements. However, for NIRS, there is a need to create a calibration model which will be precise for high diversity of samples. The most important is the optimization of the model by eliminating the factors that might influence the measurement of water content. Quantification methods most frequently used are: MLR, PLS and PCR, which are preceded by the appropriate pretreatments (derivatives of Savitzky Golay).
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