%0 Journal Article
%T Decomposition dynamic of higher plant pigments by HPLC analysis
%A LUO Yi
%A ZHANG Ting-zhou
%A ZHOU Qi-xing
%A MAO Da-qing
%A WAN Dong-mei
%A <br>LUO Yi
%A ZHANG Ting-zhou
%A ZHOU Qi-xing
%A MAO Da-qing
%A WAN Dong-mei
%J 环境科学学报(英文版)
%D 2004
%I 
%X The fate of the litter of dominant vegetation(willows and reeds) is one of the aspects studied in the frame of the project "Onderzoek Milieu Effecten Sigmaplan". One of the questions to be considered is how long the litter stays within the estuary. In this paper, the time the leaf litter (Salix triandra and Phragmites australis) stayed in the Schelde estuary was studied by using plant pigment as biomarkers with HPLC application. After analyzing the original data from the incubation experiment described by Dubuison and Geers (1999), the decomposition dynamics patterns of pigments were analyzed and described, and these decomposition dynamics patterns were used as calibration patterns. By using Spearman Rank Order Correlation, the calibration patterns of the pigments which were significant (p < 0.05) were grouped. In this way, several groups of the calibration patterns of pigment decomposition were achieved. The presence or absence of these groups of pigments (whether they can be detected or not from HPLC) was shown to be useful in determining the time the litter has stayed in the water. Combining data of DW and POC, more precise timing can be obtained.
%K decomposition dynamics pattern
%K Salix triandra
%K Phragmites australis
%K Spearman Rank Order Correlation
%K Schelde Estuary
%K HPLC<br>分解原理
%K 动力学
%K 天然颜料
%K HPLC
%K 高性能液体色谱分析技术
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=3FF3ABA7486768130C3FF830376F43B398E0C97F0FF2DD53&cid=A7CA601309F5FED03C078BCE383971DC&jid=6CB1530875F53489BF1E81BD87B7F5E6&aid=3314799E02B8C30CF513BDDCDB5F95CE&yid=D0E58B75BFD8E51C&vid=7801E6FC5AE9020C&iid=94C357A881DFC066&sid=BCCCE1B88B87184D&eid=138D3449C4A7D4E9&journal_id=1001-0742&journal_name=Journalofenvironmentalsciences(China)&referenced_num=0&reference_num=16