Multivariate processing of atomic-force microscopy images for detection of the response of plasticized polymeric membranes

被引：0
|
作者：
M. M. Khaydukova
O. A. Zadorozhnaya
D. O. Kirsanov
H. Iken
D. Rolka
M. Schöning
V. A. Babain
Yu. G. Vlasov
A. V. Legin
机构：
[1] St. Petersburg State University,Institute for Nano and Biotechnologies
[2] St. Petersburg National Research University of Information Technologies,undefined
[3] Mechanics,undefined
[4] and Optics,undefined
[5] Aachen University of Applied Sciences,undefined
[6] Khlopin Radium Institute,undefined
来源：
Russian Journal of Applied Chemistry | 2014年 / 87卷
关键词：
Vinyl Chloride; Chalcogenide Glass; Potentiometric Sensor; Combine Image; Dipicolinic Acid;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The possibility of using the atomic-force microscopy as a method for detection of the analytical signal from plasticized polymeric sensor membranes was analyzed. The surfaces of cadmium-selective membranes based on two polymeric matrices were examined. The digital images were processed with multivariate image analysis techniques. A correlation was found between the surface profile of an ion-selective membrane and the concentration of the ion in solution.
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页码：307 / 314
页数：7
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