Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 72,
  • Issue 9,
  • pp. 1349-1353
  • (2018)

Complex Refractive Index Dispersion of Strong Absorbing Material Determined Using Internal Reflectance Spectra Measurement

Not Accessible

Your library or personal account may give you access

Abstract

Complex refractive index dispersion (CRID) of offset inks is an important spectral property that affects the quality of printing. Due to the strong absorption of offset inks, great difficulty exists when measuring their CRID. In this study, a recently proposed apparatus that can detect the internal reflectance spectra was used to measure the CRID of three strong absorbing offset inks (magenta, yellow, and cyan). Both anomalous dispersion curve and extinction coefficient curve were well determined over the spectral range of 400–750 nm. This study experimentally proves that the apparatus and related method are feasible for the CRID measurement of strong absorbing materials and could serve as a powerful measuring tool for optical parameters.

© 2018 The Author(s)

PDF Article
More Like This
Assessment of wavelength dependent complex refractive index of strongly light absorbing liquids

Jukka Räty, Pertti Pääkkönen, and Kai-Erik Peiponen
Opt. Express 20(3) 2835-2843 (2012)

Measurement of the refractive index of hemoglobin solutions for a continuous spectral region

Jin Wang, Zhichao Deng, Xiaowan Wang, Qing Ye, Wenyuan Zhou, Jianchun Mei, Chunping Zhang, and Jianguo Tian
Biomed. Opt. Express 6(7) 2536-2541 (2015)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.