21 research outputs found
ΠΡΠ±ΠΎΡ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ Π² ΡΠ»ΡΡΡΠ°ΡΠΈΠΎΠ»Π΅ΡΠΎΠ²ΠΎΠΌ, Π²ΠΈΠ΄ΠΈΠΌΠΎΠΌ ΠΈ Π±Π»ΠΈΠΆΠ½Π΅ΠΌ ΠΈΠ½ΡΡΠ°ΠΊΡΠ°ΡΠ½ΠΎΠΌ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π°Ρ Π΄Π»Ρ ΠΊΠ°Π»ΠΈΠ±ΡΠΎΠ²ΠΊΠΈ ΡΠΌΠ΅ΡΠΈ ΡΠ°ΡΡΠΈΡΠ΅Π»ΡΠ½ΡΡ ΠΌΠ°ΡΠ΅Π» ΠΏΠΎ ΡΠΏΠ΅ΠΊΡΡΠ°ΠΌ ΠΎΠΏΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠ»ΠΎΡΠ½ΠΎΡΡΠΈ
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.Π¦Π΅Π»ΡΡ ΡΠ°Π±ΠΎΡΡ ΡΠ²Π»ΡΠ»Π°ΡΡ ΠΌΠ½ΠΎΠ³ΠΎΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΊΠ°Π»ΠΈΠ±ΡΠΎΠ²ΠΊΠ° ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ Π½Π΅ΡΠ°ΡΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ΄ΡΠΎΠ»Π½Π΅ΡΠ½ΠΎΠ³ΠΎ ΠΌΠ°ΡΠ»Π°, ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΠΌΠΎΠ³ΠΎ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΡΠ°Π»ΡΡΠΈΡΠΈΠΊΠ°ΡΠ° Π»ΡΠ½ΡΠ½ΠΎΠ³ΠΎ ΠΌΠ°ΡΠ»Π°. ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½Π° Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΏΡΠΎΡΡΠΎΠ³ΠΎ ΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠ΄Π° ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ ΡΠ°Π»ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ Π»ΡΠ½ΡΠ½ΠΎΠ³ΠΎ ΠΌΠ°ΡΠ»Π°, ΠΏΡΠ΅Π²ΠΎΡΡ
ΠΎΠ΄ΡΡΠ΅Π³ΠΎ ΠΏΠΎ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ Π½Π΅Π·Π°ΠΌΠ΅Π½ΠΈΠΌΡΡ
ΠΏΠΎΠ»ΠΈΠ½Π΅Π½Π°ΡΡΡΠ΅Π½Π½ΡΡ
ΠΆΠΈΡΠ½ΡΡ
ΠΊΠΈΡΠ»ΠΎΡ ΠΎΠ»ΠΈΠ²ΠΊΠΎΠ²ΠΎΠ΅ ΠΌΠ°ΡΠ»ΠΎ, Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ ΠΏΠΎΠ΄Π΄Π΅Π»ΠΎΠΊ ΠΊΠΎΡΠΎΡΠΎΠ³ΠΎ Π² ΠΎΡΠ»ΠΈΡΠΈΠ΅ ΠΎΡ Π»ΡΠ½ΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΡΠ²ΡΡΠ΅Π½ΠΎ Π±ΠΎΠ»ΡΡΠΎΠ΅ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΡΠ°Π±ΠΎΡ.ΠΠ½ΠΎΠ³ΠΎΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΊΠ°Π»ΠΈΠ±ΡΠΎΠ²ΠΊΠ° ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»Π°ΡΡ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΌΠΎΠ΄Π΅Π»ΠΈ, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΠΎΠΉ Π½Π° ΠΌΠ΅ΡΠΎΠ΄Π΅ Π³Π»Π°Π²Π½ΡΡ
ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ, ΠΊΠ»Π°ΡΡΠ΅ΡΠ½ΠΎΠΌ Π°Π½Π°Π»ΠΈΠ·Π΅ ΠΈ ΠΏΡΠΎΠ΅ΠΊΡΠΈΠΈ Π½Π° Π»Π°ΡΠ΅Π½ΡΠ½ΡΠ΅ ΡΡΡΡΠΊΡΡΡΡ ΡΠΏΠ΅ΠΊΡΡΠΎΠ² ΠΎΠΏΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠ»ΠΎΡΠ½ΠΎΡΡΠΈ Π² Π£Π€-, Π²ΠΈΠ΄ΠΈΠΌΠΎΠΌ ΠΈ Π±Π»ΠΈΠΆΠ½Π΅ΠΌ ΠΠ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π°Ρ
Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΡΡΠ΅Ρ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π²ΡΠ±ΠΎΡΠ° ΡΠΏΠ΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
: ΠΌΠ΅ΡΠΎΠ΄Π° ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ΅ΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΠΌΠ΅ΡΠΎΠ΄Π° ΠΏΠΎΠΈΡΠΊΠ° ΠΊΠΎΠΌΠ±ΠΈΠ½Π°ΡΠΈΠΈ ΡΠ΄Π²ΠΈΠ³Π°ΡΡΠΈΡ
ΡΡ ΠΎΠΊΠΎΠ½ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Π° ΡΠ°Π½ΠΆΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΏΠΎ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΡ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΈ.ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ΅ΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΡΠ°Π½ΠΆΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΏΠΎ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΡ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΈ ΠΈ ΠΏΠΎΠΈΡΠΊΠ° ΠΊΠΎΠΌΠ±ΠΈΠ½Π°ΡΠΈΠΈ ΡΠ΄Π²ΠΈΠ³Π°ΡΡΠΈΡ
ΡΡ ΡΠΏΠ΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
ΠΎΠΊΠΎΠ½ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΠΌΠ΅Π½ΡΡΠΈΡΡ Π²Π΅Π»ΠΈΡΠΈΠ½Ρ ΡΡΠ΅Π΄Π½Π΅ΠΊΠ²Π°Π΄ΡΠ°ΡΠΈΡΠ½ΠΎΠ³ΠΎ ΠΎΡΠΊΠ»ΠΎΠ½Π΅Π½ΠΈΡ ΠΊΠ°Π»ΠΈΠ±ΡΠΎΠ²ΠΊΠΈ Ρ 0,63 % Π΄Π»Ρ ΡΠΈΡΠΎΠΊΠΎΠΏΠΎΠ»ΠΎΡΠ½ΠΎΠΉ ΠΏΡΠΎΠ΅ΠΊΡΠΈΠΈ Π½Π° Π»Π°ΡΠ΅Π½ΡΠ½ΡΠ΅ ΡΡΡΡΠΊΡΡΡΡ Π΄ΠΎ 0,46 %, 0,50 % ΠΈ 0,03 %, ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ.Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΡΠΉ ΠΌΠ΅ΡΠΎΠ΄ ΠΌΠ½ΠΎΠ³ΠΎΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΊΠ°Π»ΠΈΠ±ΡΠΎΠ²ΠΊΠΈ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΏΡΠΎΠ΅ΠΊΡΠΈΠΈ Π½Π° Π»Π°ΡΠ΅Π½ΡΠ½ΡΠ΅ ΡΡΡΡΠΊΡΡΡΡ ΡΠΏΠ΅ΠΊΡΡΠΎΠ² ΠΎΠΏΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠ»ΠΎΡΠ½ΠΎΡΡΠΈ Π² Π£Π€-, Π²ΠΈΠ΄ΠΈΠΌΠΎΠΌ ΠΈ Π±Π»ΠΈΠΆΠ½Π΅ΠΌ ΠΠ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π°Ρ
Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ Π²ΡΠ±ΠΎΡΠ° ΡΠΏΠ΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
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ΡΡ ΠΎΠΊΠΎΠ½ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΡΠΎΡΡΡΠΌ ΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΠΌ ΡΡΠ΅Π΄ΡΡΠ²ΠΎΠΌ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ ΡΠ°Π»ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ Π»ΡΠ½ΡΠ½ΠΎΠ³ΠΎ ΠΌΠ°ΡΠ»Π°
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Nanostructured silver substrates with stable and universal sers properties: Application to organic molecules and semiconductor nanoparticles
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. Β© 2009 The Author(s)
Nanostructured Silver Substrates With Stable and Universal SERS Properties: Application to Organic Molecules and Semiconductor Nanoparticles
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 60β80-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
ΠΡΠ±ΠΎΡ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ Π² ΡΠ»ΡΡΡΠ°ΡΠΈΠΎΠ»Π΅ΡΠΎΠ²ΠΎΠΌ, Π²ΠΈΠ΄ΠΈΠΌΠΎΠΌ ΠΈ Π±Π»ΠΈΠΆΠ½Π΅ΠΌ ΠΈΠ½ΡΡΠ°ΠΊΡΠ°ΡΠ½ΠΎΠΌ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π°Ρ Π΄Π»Ρ ΠΊΠ°Π»ΠΈΠ±ΡΠΎΠ²ΠΊΠΈ ΡΠΌΠ΅ΡΠΈ ΡΠ°ΡΡΠΈΡΠ΅Π»ΡΠ½ΡΡ ΠΌΠ°ΡΠ΅Π» ΠΏΠΎ ΡΠΏΠ΅ΠΊΡΡΠ°ΠΌ ΠΎΠΏΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠ»ΠΎΡΠ½ΠΎΡΡΠΈ
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
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