21 research outputs found

    Π’Ρ‹Π±ΠΎΡ€ ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… Π² ΡƒΠ»ΡŒΡ‚Ρ€Π°Ρ„ΠΈΠΎΠ»Π΅Ρ‚ΠΎΠ²ΠΎΠΌ, Π²ΠΈΠ΄ΠΈΠΌΠΎΠΌ ΠΈ Π±Π»ΠΈΠΆΠ½Π΅ΠΌ инфракрасном Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π°Ρ… для ΠΊΠ°Π»ΠΈΠ±Ρ€ΠΎΠ²ΠΊΠΈ смСси Ρ€Π°ΡΡ‚ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… масСл ΠΏΠΎ спСктрам оптичСской плотности

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    The aim of the work was a multivariate calibration of the concentration of unrefined sunflower oil, considered as adulteration, in a mixture with flaxseed oil. The relevance of the study is due to the need to develop a simple and effective method for detecting the falsification of flaxseed oil which is superior in the content of essential polyunsaturated fatty acids to olive oil. A few works only are devoted to identifying adulteration of flaxseed oil, unlike olive oil.Multivariate calibration carried out using a model based on the principal component analysis, cluster analysis and projection to latent structures of absorbance spectra in UV, visible and near IR ranges. Calibration uses three methods for spectral variables selection: the successive projections algorithm, the method of searching combination moving window, and method for ranking variables by correlation coefficient.The application of the successive projections algorithm, ranking variables by correlation coefficient and searching combination moving window makes it possible to reduce the value of the root mean square error of prediction from 0.63 % for wideband projection to latent structures to 0.46 %, 0.50 %, and 0.03 %, respectively.The developed method of multivariate calibration by projection to latent structures of absorbance spectra in UV, visible and near IR ranges using the spectral variables selection by searching combination moving window is a simple and effective method of detecting adulteration of flaxseed oil.ЦСлью Ρ€Π°Π±ΠΎΡ‚Ρ‹ являлась многопарамСтричСская ΠΊΠ°Π»ΠΈΠ±Ρ€ΠΎΠ²ΠΊΠ° ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ Π½Π΅Ρ€Π°Ρ„ΠΈΠ½ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ подсолнСчного масла, рассматриваСмого Π² качСствС Ρ„Π°Π»ΡŒΡΠΈΡ„ΠΈΠΊΠ°Ρ‚Π° льняного масла. ΠΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ исслСдования обусловлСна Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΡΡ‚ΡŒΡŽ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ простого ΠΈ эффСктивного ΠΌΠ΅Ρ‚ΠΎΠ΄Π° обнаруТСния Ρ„Π°Π»ΡŒΡΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ льняного масла, прСвосходящСго ΠΏΠΎ ΡΠΎΠ΄Π΅Ρ€ΠΆΠ°Π½ΠΈΡŽ Π½Π΅Π·Π°ΠΌΠ΅Π½ΠΈΠΌΡ‹Ρ… полинСнасыщСнных ΠΆΠΈΡ€Π½Ρ‹Ρ… кислот ΠΎΠ»ΠΈΠ²ΠΊΠΎΠ²ΠΎΠ΅ масло, Π²Ρ‹ΡΠ²Π»Π΅Π½ΠΈΡŽ ΠΏΠΎΠ΄Π΄Π΅Π»ΠΎΠΊ ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ³ΠΎ Π² ΠΎΡ‚Π»ΠΈΡ‡ΠΈΠ΅ ΠΎΡ‚ льняного посвящСно большоС количСство Ρ€Π°Π±ΠΎΡ‚.ΠœΠ½ΠΎΠ³ΠΎΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΈΡ‡Π΅ΡΠΊΠ°Ρ ΠΊΠ°Π»ΠΈΠ±Ρ€ΠΎΠ²ΠΊΠ° ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»Π°ΡΡŒ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ ΠΌΠΎΠ΄Π΅Π»ΠΈ, основанной Π½Π° ΠΌΠ΅Ρ‚ΠΎΠ΄Π΅ Π³Π»Π°Π²Π½Ρ‹Ρ… ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚, кластСрном Π°Π½Π°Π»ΠΈΠ·Π΅ ΠΈ ΠΏΡ€ΠΎΠ΅ΠΊΡ†ΠΈΠΈ Π½Π° Π»Π°Ρ‚Π΅Π½Ρ‚Π½Ρ‹Π΅ структуры спСктров оптичСской плотности Π² Π£Π€-, Π²ΠΈΠ΄ΠΈΠΌΠΎΠΌ ΠΈ Π±Π»ΠΈΠΆΠ½Π΅ΠΌ ИК Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π°Ρ… с ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ Ρ‚Ρ€Π΅Ρ… ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² Π²Ρ‹Π±ΠΎΡ€Π° ΡΠΏΠ΅ΠΊΡ‚Ρ€Π°Π»ΡŒΠ½Ρ‹Ρ… ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ…: ΠΌΠ΅Ρ‚ΠΎΠ΄Π° ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ проСцирования, ΠΌΠ΅Ρ‚ΠΎΠ΄Π° поиска ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Ρ†ΠΈΠΈ ΡΠ΄Π²ΠΈΠ³Π°ΡŽΡ‰ΠΈΡ…ΡΡ ΠΎΠΊΠΎΠ½ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Π° ранТирования ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… ΠΏΠΎ коэффициСнту коррСляции.Показано, Ρ‡Ρ‚ΠΎ ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ проСцирования, ранТирования ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… ΠΏΠΎ коэффициСнту коррСляции ΠΈ поиска ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Ρ†ΠΈΠΈ ΡΠ΄Π²ΠΈΠ³Π°ΡŽΡ‰ΠΈΡ…ΡΡ ΡΠΏΠ΅ΠΊΡ‚Ρ€Π°Π»ΡŒΠ½Ρ‹Ρ… ΠΎΠΊΠΎΠ½ позволяСт ΡƒΠΌΠ΅Π½ΡŒΡˆΠΈΡ‚ΡŒ Π²Π΅Π»ΠΈΡ‡ΠΈΠ½Ρƒ срСднСквадратичного отклонСния ΠΊΠ°Π»ΠΈΠ±Ρ€ΠΎΠ²ΠΊΠΈ с 0,63 % для ΡˆΠΈΡ€ΠΎΠΊΠΎΠΏΠΎΠ»ΠΎΡΠ½ΠΎΠΉ ΠΏΡ€ΠΎΠ΅ΠΊΡ†ΠΈΠΈ Π½Π° Π»Π°Ρ‚Π΅Π½Ρ‚Π½Ρ‹Π΅ структуры Π΄ΠΎ 0,46 %, 0,50 % ΠΈ 0,03 %, соотвСтствСнно.Π Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π½Ρ‹ΠΉ ΠΌΠ΅Ρ‚ΠΎΠ΄ многопарамСтричСской ΠΊΠ°Π»ΠΈΠ±Ρ€ΠΎΠ²ΠΊΠΈ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ ΠΏΡ€ΠΎΠ΅ΠΊΡ†ΠΈΠΈ Π½Π° Π»Π°Ρ‚Π΅Π½Ρ‚Π½Ρ‹Π΅ структуры спСктров оптичСской плотности Π² Π£Π€-, Π²ΠΈΠ΄ΠΈΠΌΠΎΠΌ ΠΈ Π±Π»ΠΈΠΆΠ½Π΅ΠΌ ИК Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π°Ρ… с ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ Π²Ρ‹Π±ΠΎΡ€Π° ΡΠΏΠ΅ΠΊΡ‚Ρ€Π°Π»ΡŒΠ½Ρ‹Ρ… ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… ΠΏΡƒΡ‚Ρ‘ΠΌ поиска ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Ρ†ΠΈΠΈ ΡΠ΄Π²ΠΈΠ³Π°ΡŽΡ‰ΠΈΡ…ΡΡ ΠΎΠΊΠΎΠ½ являСтся простым ΠΈ эффСктивным срСдством обнаруТСния Ρ„Π°Π»ΡŒΡΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ льняного масла

    Nanostructured Silver Substrates With Stable and Universal SERS Properties: Application to Organic Molecules and Semiconductor Nanoparticles

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    Nanostructured silver films have been prepared by thermal deposition on silicon, and their properties as SERS substrates investigated. The optimal conditions of the post-growth annealing of the substrates were established. Atomic force microscopy study revealed that the silver films with relatively dense and homogeneous arrays of 60–80-nm high pyramidal nanoislands are the most efficient for SERS of both organic dye and inorganic nanoparticles analytes. The noticeable enhancement of the Raman signal from colloidal nanoparticles with the help of silver island films is reported for the first time

    Π’Ρ‹Π±ΠΎΡ€ ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… Π² ΡƒΠ»ΡŒΡ‚Ρ€Π°Ρ„ΠΈΠΎΠ»Π΅Ρ‚ΠΎΠ²ΠΎΠΌ, Π²ΠΈΠ΄ΠΈΠΌΠΎΠΌ ΠΈ Π±Π»ΠΈΠΆΠ½Π΅ΠΌ инфракрасном Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π°Ρ… для ΠΊΠ°Π»ΠΈΠ±Ρ€ΠΎΠ²ΠΊΠΈ смСси Ρ€Π°ΡΡ‚ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… масСл ΠΏΠΎ спСктрам оптичСской плотности

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    The aim of the work was a multivariate calibration of the concentration of unrefined sunflower oil, considered as adulteration, in a mixture with flaxseed oil. The relevance of the study is due to the need to develop a simple and effective method for detecting the falsification of flaxseed oil which is superior in the content of essential polyunsaturated fatty acids to olive oil. A few works only are devoted to identifying adulteration of flaxseed oil, unlike olive oil. Multivariate calibration carried out using a model based on the principal component analysis, cluster analysis and projection to latent structures of absorbance spectra in UV, visible and near IR ranges. Calibration uses three methods for spectral variables selection: the successive projections algorithm, the method of searching combination moving window, and method for ranking variables by correlation coefficient. The application of the successive projections algorithm, ranking variables by correlation coefficient and searching combination moving window makes it possible to reduce the value of the root mean square error of prediction from 0.63 % for wideband projection to latent structures to 0.46 %, 0.50 %, and 0.03 %, respectively. The developed method of multivariate calibration by projection to latent structures of absorbance spectra in UV, visible and near IR ranges using the spectral variables selection by searching combination moving window is a simple and effective method of detecting adulteration of flaxseed oil

    Low-energy high-dose implantation of nitrogen into high-speed steel

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    Translated from Russian (Fiz. Khim. Obrab. Mater. 1997 (6) 33-36)Available from British Library Document Supply Centre-DSC:9023.190(9620)T / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo

    Effect of pressure on the resistivity of powdered semiconductors

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