Determination of the chemical composition of ulvan, a cell wall polysaccharide from Ulva spp. (Ulvales, Chlorophyta) by FT-IR and chemometrics

被引:122
|
作者
Robic, A. [1 ,2 ]
Bertrand, D. [3 ]
Sassi, J. -F. [1 ]
Lerat, Y. [1 ]
Lahaye, M. [2 ]
机构
[1] CEVA, Pleubian, France
[2] INRA, UR 1268, BIA, F-44316 Nantes, France
[3] INRA, ENITIAA, UMR Sensometrie & Chimiometrie, F-44322 Nantes, France
关键词
Ulvan; Polysaccharide; Ulva species; Partial least squares; Infrared spectroscopy; PARTIAL LEAST-SQUARES; QUANTITATIVE-ANALYSIS; RIGIDA ULVALES; URONIC-ACID; SPECTROSCOPY; EXTRACTION; SPECTRA;
D O I
10.1007/s10811-008-9390-9
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
The water-soluble cell wall polysaccharides from green seaweeds of Ulva spp. (Ulvales, Chlorophyta), referred to as ulvan, demonstrate composition- and structure-related functional properties. Mid-infrared spectroscopy combined with chemometric techniques was investigated as a means to rapidly predict the chemical composition of ulvan extracts. A calibration was realized with 41 ulvan extracts from two Ulva species. The variables studied included the constituent sugars (rhamnose, xylose, glucose, galactose, glucuronic acid, iduronic acid), protein, and sulfate contents. The correlation between Fourier transform infrared and chemical data was developed using partial least squares (PLS) regression with full cross-validation (leave one out). The coefficients of determination in cross-validation (R-CAL(2)) and the standard error in cross-validation were determined for each variable. The PLS model validation resulted in a coefficient of determination (R-VAL(2)) and a standard error in prediction. Good predictions were obtained for rhamnose (R-VAL(2) = 0.9244), xylose (R-VAL(2)=0.8758), glucuronic acid (R-VAL(2)=0.9415), and sulfate (R-VAL(2)=0.9218), which are the main ulvan constituents. However, minor components such as proteins, glucose, galactose, and iduronic acid were not correctly predicted. This study showed that mid-infrared spectroscopy combined with PLS regression is a reliable and fast method for the quantification of the main chemical constituents of ulvan extracts.
引用
收藏
页码:451 / 456
页数:6
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