有害蓝藻水华是世界性的环境问题，水华过程中会产生一系列有毒有害的次级代谢产物（Cyanopeptides），从而威胁水生态系统健康及饮用水安全。除微囊藻毒素（MCs）外，越来越多的新型藻毒素被发现，它们在水体中的环境影响并不亚于MCs。然而针对新型藻毒素在水华水体中的分布及环境归趋过程目前鲜有研究。本项目针对这些新型藻毒素，开发基于高分辨质谱非靶向筛查的检测方法。并以太湖为例，研究我国富营养化湖泊中的新型藻毒素的时空分布。筛选其中具有高环境风险的新型藻毒素，并运用高分辨质谱辅助制备液相色谱法对其进行分离纯化。对新型藻毒素在自然水体中的光降解动力学、降解机理和产物毒性三方面开展研究，建立新型藻毒素在自然水体中的光降解预测模型。本研究可完善蓝藻水华的风险评价体系，为富营养化水体的环境现状及生态环境治理提供理论和技术支撑，为环境保护部门预测藻类毒素的归趋提供科学的依据。

Cyanobacterial bloom events that produce natural toxins occur in freshwaters across the globe, yet the potential risk of many cyanobacterial metabolites remains mostly unknown. Only microcystins, one class of cyanopeptides, have been studied intensively and the wealth of evidence regarding exposure concentrations and toxicity led to their inclusion in risk management frameworks for water quality. However, cyanobacteria produce an incredible diversity of hundreds of cyanopeptides beyond the class of microcystins (CBM), their occurrence and environmental processes have been poorly investigated. The suspect screening with high-resolution tandem mass spectrometry (HRMS/MS) will be used to detect and differentiate the CBM in this study, then the spatial and temporal distribution of CBM in Taihu lake will be reported. The CBM with high environmental risks will be screened and purified by the HRMS/MS combine with preparative liquid chromatography (PHPLC) system. The photodegradation kinetics, degradation mechanism, and toxicity on transformation products of CBM in natural waters will be reported in this study. We will try to establish a prediction model and try to foresee the photochemical fate of CBM. This study can improve the risk assessment system of cyanobacteria blooms, provide theoretical and technical support for the environmental status of eutrophic water bodies and ecological environment management.