Assessment of phytoplankton class abundance using absorption spectra and chemometrics

被引:38
作者
Moberg, L
Karlberg, B [1 ]
Sorensen, K
Källqvist, T
机构
[1] Stockholm Univ, Dept Analyt Chem, SE-10691 Stockholm, Sweden
[2] NIVA, Norwegian Inst Water Res, N-0411 Oslo, Norway
关键词
chemometrics; phytoplankton classes; multivariate calibration; in vitro absorption;
D O I
10.1016/S0039-9140(01)00555-0
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
In this study, the feasibility of using the in vitro absorption spectra of phytoplankton samples, for determining the relative abundance of specific classes of the phytoplankton, was investigated. Single species cultures of nine algae, representing six phytoplankton classes, were used. Mixtures of algal cultures were also prepared for analysis. In total, 25 samples were examined. Spectra were recorded in the visible wavelength range, 350-770 nm, and evaluated using chemometric methods. First, a principal component analysis (PCA) model was calculated. The score-plot of the first two components showed separation of the different classes, with mixtures of two species appearing between the clusters of each pure culture. Second, a partial least-squares regression, with several independent variables (PLS2), was calculated. The relative phytoplankton class abundances (as a percentage) were used as the dependent variable (y-axis). The average root mean square error of cross-validation (RMSECV) was 8.6%. Hence, for this particular data set, it was possible to estimate the relative abundance of different classes within the samples. The proposed method requires further development, including evaluation of more species representing more phytoplankton classes, and including non-taxonomic features, such as photoadaptation. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:153 / 160
页数:8
相关论文
共 25 条
[1]  
[Anonymous], 1989, MULTIVARIATE CALIBRA
[2]  
[Anonymous], 1995, STANDARD METHODS EXA
[3]   STANDARD NORMAL VARIATE TRANSFORMATION AND DE-TRENDING OF NEAR-INFRARED DIFFUSE REFLECTANCE SPECTRA [J].
BARNES, RJ ;
DHANOA, MS ;
LISTER, SJ .
APPLIED SPECTROSCOPY, 1989, 43 (05) :772-777
[4]  
ESBENSEN K, 2000, MULTIVARIATE DATA AN
[5]   PARTIAL LEAST-SQUARES METHODS FOR SPECTRAL ANALYSES .1. RELATION TO OTHER QUANTITATIVE CALIBRATION METHODS AND THE EXTRACTION OF QUALITATIVE INFORMATION [J].
HAALAND, DM ;
THOMAS, EV .
ANALYTICAL CHEMISTRY, 1988, 60 (11) :1193-1202
[6]  
JACKSON JE, 1991, SUERS GUIDE PRINCIPA
[7]   Recent advances in HPLC pigment analysis of phytoplankton [J].
Jeffrey, SW ;
Wright, SW ;
Zapata, M .
MARINE AND FRESHWATER RESEARCH, 1999, 50 (08) :879-896
[8]   PROFILES OF PHOTOSYNTHETIC PIGMENTS IN OCEAN USING THIN-LAYER CHROMATOGRAPHY [J].
JEFFREY, SW .
MARINE BIOLOGY, 1974, 26 (02) :101-110
[9]  
JEFFREY SW, 1997, MONOGR ON OCEAN METH, V10, P127
[10]   IN-VIVO ABSORPTION CHARACTERISTICS IN 10 CLASSES OF BLOOM-FORMING PHYTOPLANKTON - TAXONOMIC CHARACTERISTICS AND RESPONSES TO PHOTOADAPTATION BY MEANS OF DISCRIMINANT AND HPLC ANALYSIS [J].
JOHNSEN, G ;
SAMSET, O ;
GRANSKOG, L ;
SAKSHAUG, E .
MARINE ECOLOGY PROGRESS SERIES, 1994, 105 (1-2) :149-157