Advances in Detecting, Monitoring, Predicting, Managing and Controlling Harmful Algal Blooms
A special issue of Toxins (ISSN 2072-6651). This special issue belongs to the section "Marine and Freshwater Toxins".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 546
Special Issue Editor
Interests: public health microbiology; antimicrobial analysis and discovery; freshwater algal blooms
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Harmful freshwater algal blooms have become a major environmental and public health issue worldwide. Freshwater cyanobacterial blooms can produce toxic substances (also known as cyanotoxins) that seriously threaten the lives of humans and animals. With global climate warming and anthropogenic eutrophication increasing, the intensity, duration, and magnitude of harmful algal blooms present an escalating trend in the water bodies around the world. So far, substantial efforts have been made to understand the nature, causes, and health impacts of cyanotoxin and harmful algal blooms. These efforts constitute the growing endeavor to guide the development of technologies to detect cyanotoxins and harmful cyanobacteria, and to monitor, forecast, control, and manage harmful algal blooms.
To highlight recent advances in studying freshwater algal blooms, this Special Issue covers a broad spectrum of cyanobacterial bloom research topics, from the nature and ecology of cyanotoxin and algal bloom, analytical technologies, causes, and health impacts, to monitoring, forecasting, managing, and controlling algal blooms, organized as follows:
- Analytical technologies (immunoassay, chromatography-based methods, etc.) for cyanotoxins (e.g., microcystin, anatoxin-a) and toxigenic cyanobacteria (e.g., microcystin-producing cyanobacteria);
- Ecology of cyanotoxins and cyanobacteria;
- Causes of cyanobacterial blooms;
- Health effects of cyanobacterial blooms;
- Monitoring cyanobacterial blooms using satellite remote monitoring technologies;
- Forecasting cyanobacterial blooms with various models (including artificial intelligence technology);
- Managing and controlling cyanotoxins and harmful algal blooms using various chemical, physical, and biological measures.
Dr. Chenlin Hu
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
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Keywords
- cyanobacteria
- algal bloom
- cyanotoxin
- cause detecting
- monitoring
- predicting
- managing
- controlling
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