1. Evaluation of algaecide effectiveness of five different oxidants applied on harmful phytoplankton
- Author
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Javier Moreno-Andrés, Leonardo Romero-Martínez, Sergio Seoane, Asunción Acevedo-Merino, Ignacio Moreno-Garrido, and Enrique Nebot
- Subjects
peroxides ,Environmental Engineering ,aquaculture ,Health, Toxicology and Mutagenesis ,Environmental Chemistry ,ballast water ,toxic microalgae ,Pollution ,Waste Management and Disposal ,chemical algaecide - Abstract
Harmful algal blooms (HABs) in coastal areas similarly impact both ecosystems and human health. The translocation of phytoplankton species via maritime transport can potentially promote the growth of HABs in coastal systems. Accordingly, ballast water must be disinfected. The main goal of this study is to assess the effectiveness of different emerging biocides, including H2O2, peracetic acid (PAA), peroxymonosulfate (PMS), and peroxydisulfate (PDS). The effectiveness of these biocides is compared with that of conventional chlorination methods. Their effects on two ichthyotoxic microalgae with worldwide distribution, i.e., Prymnesium parvum and Heterosigma akashiwo, are examined. To ensure the prolonged effectiveness of the different reagents, their concentration–response curves for 14 days are constructed and examined. The results suggest a strong but shorter effect by PMS (EC50 = 0.40–1.99 mg·L-1) and PAA (EC50 = 0.32–2.70 mg·L-1), a maintained effect by H2O2 (EC50 = 6.67–7.08 mg·L-1), and a negligible effect by PDS. H. akashiwo indicates higher resistance than P. parvum, except when H2O2 is used. Based on the growth inhibition performance and consumption of the reagents as well as a review of important aspects regarding their application, using H2O2, PAA, or PMS can be a feasible alternative to chlorine-based reagents for inhibiting the growth of harmful phytoplankton. This work has been co-funded by the 2014–2020 ERDF Operational Programme and by the Department of Economy, Knowledge, Business and University of the Regional Government of Andalusia (Spain). Project Ref.: FEDER-UCA18–108023. This work is part of the project TED2021–130994B-C31; TED2021–130994B-C33 and Grant IJC2020–042741-I funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR.
- Published
- 2023