Characteristic wavelength of textile fiber in near infrared spectroscopy

Hongnian Feng; Shangzhong Jin; Bin Gan

doi:10.1117/12.668045

2 February 2006 Characteristic wavelength of textile fiber in near infrared spectroscopy

Hongnian Feng, Shangzhong Jin, Bin Gan

Proceedings Volume 6031, ICO20: Remote Sensing and Infrared Devices and Systems; 603116 (2006) https://doi.org/10.1117/12.668045
Event: ICO20:Optical Devices and Instruments, 2005, Changchun, China

Abstract

Near Infrared (NIR) spectroscopy in the region from 1300 to 1700nm, coupled with multivariate analytic statistical techniques, have been used to predict the chemical properties of textile fiber. Molecule absorbs electromagnetic wave with especial wavelength, which leads to bring characteristic absorption spectrum. Characteristic wavelength is the most important parameter in NIR detection. How to select characteristic wavelength is the key to NIR measure. Different mathematical methods are used to find relationship between the NIR absorption spectrum and the chemical properties of the textile fiber. We adopt stepwise multiple linear regression (SMLR) to select characteristic wavelength. As objective condition is limited, this article only refers to cotton and terylene. By computing correlation coefficient, we establish calibration equation with the smoothed absorbance data. Finally, the bias was controlled under 6%. Then, we find that NIR can be used to carry on qualitative analysis and quantitative analysis of the textile.

Citation Download Citation

Hongnian Feng, Shangzhong Jin, and Bin Gan "Characteristic wavelength of textile fiber in near infrared spectroscopy", Proc. SPIE 6031, ICO20: Remote Sensing and Infrared Devices and Systems, 603116 (2 February 2006); https://doi.org/10.1117/12.668045

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available