SIMCA multivariate data analysis of blue mussel components in environmental pollution studies
SIMCA multivariate data analysis of blue mussel components in environmental pollution studies
复制标题
环境污染研究中蓝贻贝成分的SIMCA多元数据分析
DOI：
10.1016/s0003-2670(00)85466-5
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发表时间：
1983
影响因子：
6.2
通讯作者：
O. Grahl
中科院分区：
文献类型：
--
作者：
O. Kvalheim;K. Øygard;O. Grahl
蓝贻贝（紫贻贝）从一个原始的和一个污染的位置在挪威海岸被转移到水族馆。在无污染条件下饲养4个月后，用毛细管气相色谱（g.c.）在甲醇分解和甲硅烷基化之后。GC代表天然存在的组分的50-60个主要峰的模式通过SIMCA多变量数据分析进行处理，所述SIMCA多变量数据分析在HP-85台式计算机上进行。这一分析区分清楚两类贻贝的肌肉和性腺组织。同样，G.C.生殖腺组织的模式在雄性和雌性贻贝之间有区别。因此，自然发生的组件的多变量数据处理可能是一种替代贻贝观察调查，这是基于测量贻贝组织中的外来成分。
Blue mussels (Mytilus edulis) from one pristine and one polluted location on the Norwegian coast were transferred to an aquarium. After 4 months under controlled unpolluted conditions, samples of muscle tissue and gonad tissue from ten specimens of each of the two classes of mussels were characterized by capillary gas chromatography (g.c.) after methanolysis and silylation. The g.c. patterns of the 50–60 predominant peaks representing naturally occurring components were treated by SIMCA multivariate data analysis implemented to run on a HP-85 desk-top computer. This analysis discriminated clearly between two classes of mussels for both the muscle and gonad tissue. Similarly, the g.c. patterns of the gonad tissue differentiated between male and female mussels. Multivariate data treatment of naturally occurring components might thus be an alternative to the Mussel Watch survey which is based on measurements of foreign components in the mussel tissues.