Molecular spectroscopic wavelength selection using combined interval partial least squares and correlation coefficient optimization
Author:
Affiliation:
1. School of Computer Science and Information Engineering
2. Hefei University of Technology
3. Hefei 230009
4. China
5. Anhui Institute of Optics Fine Mechanics
6. Chinese Academy of Sciences
7. Hefei 230031
8. Department of Electronics
Abstract
Wavelength selection plays a vital role in employing near-infrared spectroscopy for analyzing samples.
Funder
National High Technology Research and Development Program of China
Publisher
Royal Society of Chemistry (RSC)
Subject
General Engineering,General Chemical Engineering,Analytical Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2019/AY/C9AY00898E
Reference27 articles.
1. Authenticity identification and classification of Rhodiola species in traditional Tibetan medicine based on Fourier transform near-infrared spectroscopy and chemometrics analysis
2. R. J. Romañach , A. D.Román-Ospino and M.Alcalà , in Methods in Pharmacology and Toxicology , ed. M. Ierapetritou and R. Ramachandran , Humana Press , New York, NY , 2016 , pp. 133–158
3. Spectral Analysis and Sensitive Waveband Determination Based on Nitrogen Detection of Different Soil Types Using Near Infrared Sensors
4. Measurement of moisture content for rough rice by visible and near-infrared (NIR) spectroscopy
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