Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 46,
  • Issue 11,
  • pp. 1719-1723
  • (1992)

Quantitative Analysis of Silica in Silica-Kaolin Mixtures by Photoacoustic and Diffuse Reflectance Spectroscopies

Not Accessible

Your library or personal account may give you access

Abstract

The techniques of photoacoustic spectroscopy (PAS) and diffuse reflectance spectroscopy (DRS) are investigated for the quantification of silica using the IR bands at 1080, 797, 693, and 1875 cm<sup>−1</sup>. It is observed that, in both techniques, signal intensity increases linearly with mass initially. However, signal saturation sets in at much lower masses (>2 mg) in PAS than in DRS (>30 mg), showing that saturation is strongly technique dependent, in addition to having dependence on the absorptivity of the sample. These findings are applied to the quantification of silica in laboratory-generated silica-kaolin mixtures. It is shown that, with the use of the weaker band at 1875 cm<sup>−1</sup> in DRS, satisfactory results for the quantification of silica are obtained.

PDF Article
More Like This
Chemometrics applied quantitative analysis of iron oxide mixtures by terahertz spectroscopy

Ying Li, Tian-Yao Zhang, Zhao-Hui Zhang, Jian-Feng Yan, Xuan Zhao, Xiao-Yan Zhao, Xing-Yue Li, Xian-Hao Wu, Lu Yin, Yuan Yuan, and Jian-Mei Guo
Appl. Opt. 62(5) 1167-1174 (2023)

Photoacoustic spectroscopy with light scattering samples

R. Tilgner
Appl. Opt. 20(21) 3780-3786 (1981)

Analysis of isotopic CO2 mixtures by laser photoacoustic spectroscopy

I. G. Calasso, V. Funtov, and M. W. Sigrist
Appl. Opt. 36(15) 3212-3216 (1997)

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.