Journal paper: Quantifying trace metal contamination from marine cathodic protection using Saccharina latissima in laboratory and mesocosm exposure experiments
The increasing deployment of offshore infrastructure has raised concerns about the environmental impact of corrosion protection systems, particularly galvanic anodes, which release trace metals such as zinc and aluminium into the marine environment. Traditional monitoring methods often fail to capture the bioavailable fraction of these contaminants or provide adequate temporal resolution. Here, we investigate the brown macroalga Saccharina latissima as a bioindicator of metal emissions from galvanic anodes. Laboratory and mesocosm experiments demonstrated linear relationships between environmental concentrations and metal accumulation, particularly for zinc. Compared to grab and passive sampling, S. latissima provided more consistent and representative exposure estimates. These
Journal paper: Experimental and Comparative Study of the CorrosionBehavior of Lean Duplex Stainless Steel in Seawater
The increasing deployment of offshore infrastructure has raised concerns about the environmental impact of corrosion protection systems, particularly galvanic anodes, which release trace metals such as zinc and aluminium into the marine environment. Traditional monitoring methods often fail to capture the bioavailable fraction of these contaminants or provide adequate temporal resolution. Here, we investigate the brown macroalga Saccharina latissima as a bioindicator of metal emissions from galvanic anodes. Laboratory and mesocosm experiments demonstrated linear relationships between environmental concentrations and metal accumulation, particularly for zinc. Compared to grab and passive sampling, S. latissima provided more consistent and representative exposure estimates. These
Journal article: Predicting Corrosion Rates of Carbon Steel in Real-World Aquatic Environments Using Machine Learning
Mihret Tegegn Girma, Wikke. Witteveen, Raf Meskens, Shahin Gelareh, Rahimeh Neamatian Monemi, Geert Potters; Predicting Corrosion Rates of Carbon Steel in Real-World Aquatic Environments Using Machine Learning. CORROSION 2026; https://doi.org/10.5006/4897 Abstract Corrosion in aquatic environments cause significant economic losses and structural degradation. This study models the corrosion rate of S235 carbon steel using machine learning (ML) under real-world aquatic conditions. A field dataset from 46 locations along the Ghent–Terneuzen canal was used, encompassing exposure and environmental parameters such as temperature, pH, total dissolved oxygen (HDO%), chlorophyll concentration, oxidation–reduction potential (ORP), total dissolved solids (TDS), chloride concentration, specific conductivity, depth, and salinity. Six ML algorithms, including Light Gradient Boosting
Journal paper: Differential sensitivity of Saccharina latissima (Phaeophyceae) to emissions from corrosion protection systems informs biomonitoring strategies
de Leeuw van Weenen C, Knoop J, Rossi B, Appels L and Larché N (2026) Differential sensitivity of Saccharina latissima (Phaeophyceae) to emissions from corrosion protection systems informs biomonitoring strategies. Front. Mar. Sci. 13:1805764. https://doi.org/10.3389/fmars.2026.1805764 Abstract Corrosion protection systems used on offshore structures release metals or chlorine-produced oxidants into surrounding waters. Yet, their effects on marine biomonitoring species remain poorly understood. Here, we assess how emissions from induced current cathodic protection systems and zinc- and aluminium-based galvanic anodes affect the early developmental stages of the kelp Saccharina latissima. Zoospores and gametophytes were exposed for three weeks to metals or chlorine-produced
Journal paper: Application of Electrical Resistance Probes for Corrosion Monitoring and Cathodic Protection Assessment of Offshore Structures
The increasing deployment of offshore infrastructure has raised concerns about the environmental impact of corrosion protection systems, particularly galvanic anodes, which release trace metals such as zinc and aluminium into the marine environment. Traditional monitoring methods often fail to capture the bioavailable fraction of these contaminants or provide adequate temporal resolution. Here, we investigate the brown macroalga Saccharina latissima as a bioindicator of metal emissions from galvanic anodes. Laboratory and mesocosm experiments demonstrated linear relationships between environmental concentrations and metal accumulation, particularly for zinc. Compared to grab and passive sampling, S. latissima provided more consistent and representative exposure estimates. These
Journal paper: Advancing a restorative blue Economy: A DPSIR–Ecosystem services framework for sustainable seaweed aquaculture
Seaweed aquaculture is rapidly expanding in Europe and the Americas providing engineered ecosystem services (EES) such as nutrient removal, pH buffering, and carbon uptake. Used as a nature-based emission capture-and-utilisation technology, seaweed transforms emissions into revenue streams while delivering non-profit value, making seaweed aquaculture a promising eco-industrial system that fits well to the global agenda of green economic transitions and ecosystem health restoration. However, aquaculture activities may, in some cases, cause unwanted engineered ecosystem disservices (EED) which should be avoided.
We argue that an adaptive and cross-sectoral policy framework is imperative to guide the sustainable development of a blue
Journal paper: Potential challenges and guidelines for ultrasound and ultrasound-assisted enzymatic treatment of seaweed biomass
Seaweed biomass is increasingly recognized as a promising renewable resource for sustainable applications in the food, pharmaceutical, cosmetic and bioenergy sectors. Unlike terrestrial biomass, seaweed requires no additional delignification pretreatments, enabling direct processing. This reduces chemical and energy inputs while improving extraction and saccharification efficiency. Ultrasound technology has gained substantial importance in recent decades as a novel and promising approach for biomass processing. Enzymatic treatments have also been widely investigated for seaweed valorization, although they are often limited by long processing times. To overcome this, ultrasound-assisted enzymatic treatments have been proposed to increase enzymatic efficiency and reduce treatment times. Nonetheless,
Conference paper: Extension of the direct strength method to fabricated I-profiles under compression
Langone, Gregory; Shamlooei, Majid; Ali, Usman; Ruan, Xiongfeng; Rossi, Barbara Extension of the direct strength method to fabricated I-profiles under compression https://doi.org/10.5281/zenodo.12213706 Abstract The direct strength method (DSM) was developed to predict the strength of cold-formed steel members susceptible to local, distortional, and global buckling or a combination thereof. The method has also been extended to fabricated and hot-rolled steel sections. However, past investigations have suggested that the general form of the DSM provides overly conservative estimations for the compressive strength of I-profiles when the normalized section dimension is greater than 10.94. In this case, the cross-section exhibits substantial post