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Proceedings Paper

Automated Chemical Quality Control Using FTIR
Author(s): James F. Sprouse
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Paper Abstract

Automated chemical quality control of raw materials as they enter the manufacturing plant has been achieved using Fourier Transform infrared Spectroscopy (FTIR), an appropriate sampling method, and analysis software which controls the FTIR and performs automated data analysis. An infrared spectrum of a raw material is measured, then compared with that of a premeasured reference material in order to detect a contaminated, or out-of-specification, raw material before it enters the manufacturing process. Automated data analysis is achieved using a three tiered search algorithm which combines results from a high resolution (16 bit) Euclidean Distance search with those from both a forward and reverse peak search in order to detect a contaminated raw material. Spectral comparisons are made with a small user-generated reference library of in-spec raw materials. The quality control criteria will be presented, along with an application example, based on: (a) sampling technology; (b) IR spectrum measurement; (c) Data Analysis; (d) Data and Information Management; and (e) Results Reporting.

Paper Details

Date Published: 1 December 1989
PDF: 1 pages
Proc. SPIE 1145, 7th Intl Conf on Fourier Transform Spectroscopy, (1 December 1989); doi: 10.1117/12.969616
Show Author Affiliations
James F. Sprouse, Sprouse Scientific Systems, Inc. (United States)

Published in SPIE Proceedings Vol. 1145:
7th Intl Conf on Fourier Transform Spectroscopy
David G. Cameron, Editor(s)

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