Dagnino A, Allen J I, Moore M N, Broeg K, Canesi L, Viarengo A
Dipartimento di Scienze dell'Ambiente e della Vita, Università del Piemonte Orientale Amedeo Avogadro', Alessandria, Italy.
Biomarkers. 2007 Mar-Apr;12(2):155-72. doi: 10.1080/13547500601037171.
Biomarkers on sentinel organisms are utilised worldwide in biomonitoring programs. However, the lack of effective interpretational capacity has hampered their uptake for use for assessment of risk in environmental management. The aim of the present study was to develop and test an objective decision-support or expert system capable of integrating biomarker results into a five-level health-status index. The expert system is based on a set of rules derived from available data on responses to natural and contaminant-induced stress of marine mussels. Integration of parameters includes: level of biological organization; biological significance; mutual interrelationship; and qualitative trends in a stress gradient. The system was tested on a set of biomarker data obtained from the field and subsequently validated with data from previous studies. The results demonstrate that the expert system can effectively quantify the biological effects of different levels of pollution. The system represents a simple tool for risk assessment of the harmful impact of contaminants by providing a clear indication of the degree of stress syndrome induced by pollutants in mussels.
全球范围内，在生物监测项目中都会利用指示生物的生物标志物。然而，缺乏有效的解读能力阻碍了它们在环境管理风险评估中的应用。本研究的目的是开发并测试一个客观的决策支持系统或专家系统，该系统能够将生物标志物结果整合到一个五级健康状况指数中。该专家系统基于一组规则，这些规则源自关于海洋贻贝对自然和污染物诱导应激反应的现有数据。参数整合包括：生物组织水平；生物学意义；相互关系；以及应激梯度中的定性趋势。该系统在一组从实地获得的生物标志物数据上进行了测试，随后用先前研究的数据进行了验证。结果表明，该专家系统能够有效地量化不同污染水平的生物效应。该系统通过明确指示污染物在贻贝中诱发的应激综合征程度，为污染物有害影响的风险评估提供了一个简单工具。
