@article {Chen:2003:0003-7028:1399,
author = "Chen, Jie Yu and Matsunaga, Ryuji and Ishikawa, Kyoko and Zhang, Han",
title = "Main Inorganic Component Measurement of Seawater Using Near-Infrared Spectroscopy",
journal = "Applied Spectroscopy",
volume = "57",
number = "11",
year = "2003",
abstract = "The potential of near-infrared (NIR) spectroscopy to measure the main inorganic components of seawater as salt-manufacturing materials was investigated. A total of 72 seawater samples collected from six locations was used, and spectra (1100-1800 nm) were acquired by a NIR spectrophotometer with a 1-mm path length. Principal component analysis (PCA), canonical correlation analysis (CCA), and partial least-squares (PLS) regression were performed based on the reference inorganic components. As a result, the principal component analysis and canonical correlation analysis showed that the near-infrared spectra could be related to the inorganic components of seawater. The partial least-squares regression analysis showed that the inorganic components (ion concentration of Cl-, Na+, K+, SO42-, and Ca2+) could be predicted with good accuracy using NIR spectra and their second derivatives. For Cl- ion and K+ ion concentrations, the accuracy was high.",
pages = "1399-1406",
url = "http://www.ingentaconnect.com/content/sas/sas/2003/00000057/00000011/art00014",
doi = "doi:10.1366/000370203322554572",
keyword = "NEAR-INFRARED SPECTROSCOPY, PRINCIPAL COMPONENT ANALYSIS, PCA, CANONICAL CORRELATION ANALYSIS, CCA, PARTIAL LEAST-SQUARES REGRESSION, PLS, SEAWATER, INORGANIC COMPONENTS, ION CONCENTRATION"
}