Skip to main content
ARS Home » Research » Publications at this Location » Publication #136929
Title: THE NEED FOR HIGH RESOLUTION FT-NIR

Author
item Barton Ii, Franklin
item Himmelsbach, David
item SMITH, W - WA UNIV, ST.LOUIS,MO

Submitted to: Eastern Analytical Symposium
Publication Type: Abstract Only
Publication Acceptance Date: 12/1/2002
Publication Date: 12/1/2002
Citation: BARTON II, F.E., HIMMELSBACH, D.S., SMITH, W.H. THE NEED FOR HIGH RESOLUTION FT-NIR. EASTERN ANALYTICAL SYMPOSIUM. 2002. ABSTRACT NO. 81. P. 19.

Interpretive Summary: This is an abstract only. No intepretative summary is available.

Technical Abstract: Near Infrared Spectroscopy in agriculture has traditionally relied on dispersive instruments with resolutions (bandpass) around 10 nm. For monochrometers data is redundantly sampled at 2nm spacing and a total of 1050 data points collected from 400-2500 nm. The spectra from these instruments are characterized by very high signal-to-noise (S/N) and modest resolution that are linear with wavelength. This is generally adequate since the bands of agricultural materials tend to be quite broad. For interferometers the resolution is not necessarily fixed and can be quite narrow, 2 cm-1 or 0.4-2.0 nm depending on position in the spectrum. The spectra are characterized by high resolution, modest S/N that is improved by averaging more scans that are collected faster and no redundant data point collection (3112 data points from 9900-4000 cm-1. The interferometer has become the "spectroscopist's" instrument of choice for it ability to take the best spectrum. The dispersive monochrometer is the choice of the chemometrician. This paper describes an application in which the resolution make a previously impossible determination plausible. "Stickiness" in cotton is a major problem affecting throughput in cotton gins and spinning mills alike. Stickiness is thought to be caused by the deposition of sugars by insects, principally aphid and white fly, on the open bowl. A successful model was made to determine the Mini-Card value and successfully detect "stickiness". The model was improved by increasing the range of "stickiness" as measured by the "mini-card"from the usual 0-3 scale to a scale of 0-8.