Simultaneous Determination of Molecular Orientation and Surface Concentration in Anisotropic Monolayers on Liquid Substrates

Author:

Tung Yei-Shin1,Gao Tao1,Rosen Milton J.1,Valentini Jose E.1,Fina Leslie J.1

Affiliation:

1. Department of Materials Science and Engineering, College of Engineering, Rutgers University, P.O. Box 909, Piscataway, New Jersey 08855-0909 (Y.-S.T., L.J.F.); Surfactant Research Institute, Brooklyn College, City University of New York, Brooklyn, New York 11210 (T.G., M.J.R.); and Imaging Systems Department, E. I. duPont de Nemours, Staton Road, Brevard, North Carolina 28712 (J.E.V.)

Abstract

A new method is developed for the simultaneous determination of chain orientation and surface concentration in monolayers on liquid substrates. The method is based on the use of s- and p-polarized reflection-absorption (RA) infrared intensities in conjunction with an optical model that includes anisotropy in the optical constants. The advantages and limitations of the method are explored in detail. A modeling assessment of the RA p/RA s ratio leads to information on how the ratio can be used to qualitatively interpret RA spectra. Spectral simulations are given that address the issues of frequency shifting and band distortion in reflection-absorption due solely to optical considerations. Experimental spectra of sodium dodecyl sulfonate are collected as soluble monolayers at the air/water interface. The spectral intensities are used to calculate the chain orientation, the surface concentration, and the associated errors. The surface concentration is compared with that predicted from surface tension isotherms.

Publisher

SAGE Publications

Subject

Spectroscopy,Instrumentation

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3